|
Ensemble Pruning Via Semi-definite Programming (Special Topic on Machine Learning and Optimization)
|
1 |
2014-04-28 |
262.39kB |
65 | |
0 |
|
"Ideal Parent" Structure Learning for Continuous Variable Bayesian Networks
|
1 |
2014-04-28 |
663.20kB |
61 | |
0 |
|
-MDPs: Learning in Varying Environments
|
1 |
2014-04-28 |
292.58kB |
59 | |
0 |
|
A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes
|
1 |
2014-04-28 |
372.87kB |
71 | |
0 |
|
A Bayesian Approximation Method for Online Ranking
|
1 |
2014-04-28 |
236.16kB |
68 | |
0 |
|
A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior
|
1 |
2014-04-28 |
227.71kB |
61 | |
0 |
|
A Binary-Classification-Based Metric between Time-Series Distributions and Its Use in Statistical and Learning Problems
|
1 |
2014-04-28 |
207.38kB |
61 | 1+ |
0 |
|
A C++ Template-Based Reinforcement Learning Library: Fitting the Code to the Mathematics
|
1 |
2014-04-28 |
70.37kB |
158 | 2+ |
0 |
|
A Case Study on Meta-Generalising: A Gaussian Processes Approach
|
1 |
2014-04-28 |
390.48kB |
61 | 1+ |
0 |
|
A Classification Framework for Anomaly Detection
|
1 |
2014-04-28 |
181.54kB |
78 | 1+ |
0 |
|
A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification
|
1 |
2014-04-28 |
6.47MB |
74 | |
0 |
|
A Comparison of the Lasso and Marginal Regression
|
1 |
2014-04-28 |
953.29kB |
58 | |
0 |
|
A Compression Approach to Support Vector Model Selection
|
1 |
2014-04-28 |
1.36MB |
118 | |
0 |
|
A Convergent Online Single Time Scale Actor Critic Algorithm
|
1 |
2014-04-28 |
325.61kB |
110 | |
0 |
|
A Cure for Variance Inflation in High Dimensional Kernel Principal Component Analysis
|
1 |
2014-04-28 |
577.25kB |
59 | |
0 |
|
A Direct Method for Building Sparse Kernel Learning Algorithms
|
1 |
2014-04-28 |
282.87kB |
60 | |
0 |
|
A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification (Kernel Machines Section)
|
1 |
2014-04-28 |
301.96kB |
104 | |
0 |
|
A Family of Additive Online Algorithms for Category Ranking
|
1 |
2014-04-28 |
418.00kB |
59 | |
0 |
|
A Family of Simple Non-Parametric Kernel Learning Algorithms
|
1 |
2014-04-28 |
620.86kB |
67 | |
0 |
|
A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation
|
1 |
2014-04-28 |
2.34MB |
123 | |
0 |
|
A Fast Hybrid Algorithm for Large-Scale l1-Regularized Logistic Regression
|
1 |
2014-04-28 |
2.71MB |
111 | |
0 |
|
A Framework for Evaluating Approximation Methods for Gaussian Process Regression
|
1 |
2014-04-28 |
331.77kB |
63 | 1+ |
0 |
|
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data
|
1 |
2014-04-28 |
401.64kB |
57 | |
0 |
|
A Generalized Kernel Approach to Dissimilarity-based Classification (Kernel Machines Section)
|
1 |
2014-04-28 |
451.30kB |
53 | 1+ |
0 |
|
A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation
|
1 |
2014-04-28 |
518.05kB |
58 | |
0 |
|
A Generalized Path Integral Control Approach to Reinforcement Learning
|
1 |
2014-04-28 |
1.09MB |
67 | |
0 |
|
A Generative Model for Separating Illumination and Reflectance from Images
|
1 |
2014-04-28 |
511.41kB |
63 | |
0 |
|
A Geometric Approach to Multi-Criterion Reinforcement Learning
|
1 |
2014-04-28 |
309.35kB |
75 | |
0 |
|
A Geometric Approach to Sample Compression
|
1 |
2014-04-28 |
501.02kB |
73 | |
0 |
|
A Graphical Representation of Equivalence Classes of AMP Chain Graphs
|
1 |
2014-04-28 |
308.10kB |
53 | |
0 |
|
A Hierarchy of Support Vector Machines for Pattern Detection
|
1 |
2014-04-28 |
1.65MB |
61 | |
0 |
|
A Kernel Two-Sample Test
|
1 |
2014-04-28 |
479.88kB |
234 | |
0 |
|
A Least-squares Approach to Direct Importance Estimation
|
1 |
2014-04-28 |
849.23kB |
59 | |
0 |
|
A Linear Non-Gaussian Acyclic Model for Causal Discovery
|
1 |
2014-04-28 |
417.28kB |
63 | 1+ |
0 |
|
A Local Spectral Method for Graphs: With Applications to Improving Graph Partitions and Exploring Data Graphs Locally
|
1 |
2014-04-28 |
968.87kB |
76 | |
0 |
|
A Max-Norm Constrained Minimization Approach to 1-Bit Matrix Completion
|
1 |
2014-04-28 |
269.06kB |
50 | 1+ |
0 |
|
A Maximum Likelihood Approach to Single-channel Source Separation
|
1 |
2014-04-28 |
738.33kB |
54 | |
0 |
|
A Model of the Perception of Facial Expressions of Emotion by Humans: Research Overview and Perspectives
|
1 |
2014-04-28 |
1.68MB |
134 | |
0 |
|
A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs
|
1 |
2014-04-28 |
157.28kB |
61 | 1+ |
0 |
|
A Moment Bound for Multi-hinge Classifiers
|
1 |
2014-04-28 |
4.12MB |
61 | |
0 |
|
A Multi-Stage Framework for Dantzig Selector and LASSO
|
1 |
2014-04-28 |
246.48kB |
47 | 2+ |
0 |
|
A Multiple Instance Learning Strategy for Combating Good Word Attacks on Spam Filters
|
1 |
2014-04-28 |
281.48kB |
61 | |
0 |
|
A Multiscale Framework For Blind Separation of Linearly Mixed Signals
|
1 |
2014-04-28 |
3.36MB |
55 | |
0 |
|
A Near-Optimal Algorithm for Differentially-Private Principal Components
|
1 |
2014-04-28 |
424.73kB |
65 | |
0 |
|
A Neural Probabilistic Language Model
|
1 |
2014-04-28 |
242.24kB |
151 | 1+ |
0 |
|
A New Algorithm for Estimating the Effective Dimension-Reduction Subspace
|
1 |
2014-04-28 |
292.05kB |
100 | 2+ |
0 |
|
A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization
|
1 |
2014-04-28 |
242.08kB |
51 | |
0 |
|
A New Probabilistic Approach in Rank Regression with Optimal Bayesian Partitioning (Special Topic on Model Selection)
|
1 |
2014-04-28 |
1.13MB |
54 | |
0 |
|
A Nonparametric Statistical Approach to Clustering via Mode Identification
|
1 |
2014-04-28 |
665.62kB |
71 | |
0 |
|
A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians
|
1 |
2014-04-28 |
192.02kB |
54 | |
0 |
|
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
|
1 |
2014-04-28 |
1.32MB |
72 | |
0 |
|
A Recursive Method for Structural Learning of Directed Acyclic Graphs
|
1 |
2014-04-28 |
986.24kB |
63 | |
0 |
|
A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin
|
1 |
2014-04-28 |
244.70kB |
55 | |
0 |
|
A Risk Comparison of Ordinary Least Squares vs Ridge Regression
|
1 |
2014-04-28 |
189.76kB |
72 | |
0 |
|
A Robust Minimax Approach to Classification
|
1 |
2014-04-28 |
523.76kB |
68 | 2+ |
0 |
|
A Robust Procedure For Gaussian Graphical Model Search From Microarray Data With p Larger Than n
|
1 |
2014-04-28 |
685.16kB |
54 | |
0 |
|
A Rotation Test to Verify Latent Structure
|
1 |
2014-04-28 |
291.84kB |
57 | |
0 |
|
A Simulation-Based Algorithm for Ergodic Control of Markov Chains Conditioned on Rare Events
|
1 |
2014-04-28 |
219.60kB |
94 | |
0 |
|
A Stochastic Algorithm for Feature Selection in Pattern Recognition
|
1 |
2014-04-28 |
438.67kB |
175 | |
0 |
|
A Streaming Parallel Decision Tree Algorithm
|
1 |
2014-04-28 |
512.65kB |
112 | 1+ |
0 |
|
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
|
1 |
2014-04-28 |
323.66kB |
53 | |
0 |
|
A Survey of Accuracy Evaluation Metrics of Recommendation Tasks
|
1 |
2014-04-28 |
267.62kB |
50 | 1+ |
0 |
|
A Theory of Multiclass Boosting
|
1 |
2014-04-28 |
2.96MB |
131 | 1+ |
0 |
|
A Topic Modeling Toolbox Using Belief Propagation
|
1 |
2014-04-28 |
61.47kB |
58 | |
0 |
|
A Tutorial on Conformal Prediction
|
1 |
2014-04-28 |
75.34kB |
69 | |
0 |
|
A Unified Framework for Model-based Clustering
|
1 |
2014-04-28 |
338.53kB |
53 | 2+ |
0 |
|
A Unified View of Performance Metrics: Translating Threshold Choice into Expected Classification Loss
|
1 |
2014-04-28 |
563.39kB |
69 | |
0 |
|
A Unifying View of Sparse Approximate Gaussian Process Regression
|
1 |
2014-04-28 |
254.63kB |
48 | |
0 |
|
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
|
1 |
2014-04-28 |
399.65kB |
104 | |
0 |
|
Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems
|
1 |
2014-04-28 |
206.08kB |
48 | |
0 |
|
Active Clustering of Biological Sequences
|
1 |
2014-04-28 |
332.47kB |
75 | |
0 |
|
Active Coevolutionary Learning of Deterministic Finite Automata
|
1 |
2014-04-28 |
238.25kB |
60 | |
0 |
|
Active Learning by Spherical Subdivision
|
1 |
2014-04-28 |
560.53kB |
49 | |
0 |
|
Active Learning of Causal Networks with Intervention Experiments and Optimal Designs(Special Topic on Causality)
|
1 |
2014-04-28 |
233.01kB |
57 | |
0 |
|
Active Learning to Recognize Multiple Types of Plankton
|
1 |
2014-04-28 |
216.98kB |
60 | |
0 |
|
Active Learning via Perfect Selective Classification
|
1 |
2014-04-28 |
194.66kB |
60 | |
0 |
|
Active Learning with Feedback on Features and Instances
|
1 |
2014-04-28 |
386.12kB |
60 | |
0 |
|
AdaBoost is Consistent
|
1 |
2014-04-28 |
184.12kB |
56 | |
0 |
|
Adaptive Exact Inference in Graphical Models
|
1 |
2014-04-28 |
644.27kB |
52 | |
0 |
|
Adaptive False Discovery Rate Control under Independence and Dependence
|
1 |
2014-04-28 |
364.22kB |
47 | |
0 |
|
Adaptive Online Prediction by Following the Perturbed Leader
|
1 |
2014-04-28 |
191.61kB |
50 | |
0 |
|
Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies
|
1 |
2014-04-28 |
389.20kB |
76 | |
0 |
|
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
|
1 |
2014-04-28 |
307.88kB |
56 | |
0 |
|
Aggregation of SVM Classifiers Using Sobolev Spaces
|
1 |
2014-04-28 |
197.61kB |
54 | |
0 |
|
Algebraic Geometric Comparison of Probability Distributions
|
1 |
2014-04-28 |
534.83kB |
74 | |
0 |
|
Algorithmic Luckiness
|
1 |
2014-04-28 |
414.67kB |
57 | |
0 |
|
Algorithms and Hardness Results for Parallel Large Margin Learning
|
1 |
2014-04-28 |
222.17kB |
59 | |
0 |
|
Algorithms for Discovery of Multiple Markov Boundaries
|
1 |
2014-04-28 |
831.15kB |
66 | |
0 |
|
Algorithms for Learning Kernels Based on Centered Alignment
|
1 |
2014-04-28 |
266.60kB |
71 | |
0 |
|
Algorithms for Sparse Linear Classifiers in the Massive Data Setting
|
1 |
2014-04-28 |
386.10kB |
80 | |
0 |
|
Alleviating Naive Bayes Attribute Independence Assumption by Attribute Weighting
|
1 |
2014-04-28 |
442.45kB |
56 | |
0 |
|
An Algorithm for Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity
|
1 |
2014-04-28 |
190.69kB |
88 | |
0 |
|
An Analysis of Convex Relaxations for MAP Estimation of Discrete MRFs
|
1 |
2014-04-28 |
827.67kB |
57 | 2+ |
0 |
|
An Anticorrelation Kernel for Subsystem Training in Multiple Classifier Systems
|
1 |
2014-04-28 |
560.99kB |
52 | |
0 |
|
An Approximate Analytical Approach to Resampling Averages (Kernel Machines Section)
|
1 |
2014-04-28 |
3.16MB |
63 | 2+ |
0 |
|
An Efficient Boosting Algorithm for Combining Preferences
|
1 |
2014-04-28 |
208.76kB |
84 | 2+ |
0 |
|
An Efficient Explanation of Individual Classifications using Game Theory
|
1 |
2014-04-28 |
690.80kB |
115 | |
0 |
|
An Empirical Study of the Use of Relevance Information in Inductive Logic Programming
|
1 |
2014-04-28 |
97.69kB |
68 | |
0 |
|
An Error Bound Based on a Worst Likely Assignment
|
1 |
2014-04-28 |
163.13kB |
48 | 1+ |
0 |
|
An Exponential Model for Infinite Rankings
|
1 |
2014-04-28 |
392.92kB |
56 | |
0 |
|
An Extension on "Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons
|
1 |
2014-04-28 |
343.90kB |
61 | |
0 |
|
An Improved GLMNET for L1-regularized Logistic Regression
|
1 |
2014-04-28 |
549.24kB |
74 | |
0 |
|
An Information Criterion for Variable Selection in Support Vector Machines(Special Topic on Model Selection)
|
1 |
2014-04-28 |
764.43kB |
57 | |
0 |
|
An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression
|
1 |
2014-04-28 |
910.98kB |
60 | |
0 |
|
An Introduction to Artificial Prediction Markets for Classification
|
1 |
2014-04-28 |
382.03kB |
151 | |
0 |
|
An Introduction to Variable and Feature Selection (Kernel Machines Section)
|
1 |
2014-04-28 |
763.45kB |
70 | |
0 |
|
An Investigation of Missing Data Methods for Classification Trees Applied to Binary Response Data
|
1 |
2014-04-28 |
408.00kB |
64 | |
0 |
|
An MDP-Based Recommender System
|
1 |
2014-04-28 |
569.22kB |
90 | |
0 |
|
Analysis of Perceptron-Based Active Learning
|
1 |
2014-04-28 |
176.01kB |
63 | |
0 |
|
Analysis of Variance of Cross-Validation Estimators of the Generalization Error
|
1 |
2014-04-28 |
294.94kB |
49 | |
0 |
|
Anechoic Blind Source Separation Using Wigner Marginals
|
1 |
2014-04-28 |
773.75kB |
62 | |
0 |
|
Anytime Learning of Decision Trees
|
1 |
2014-04-28 |
364.51kB |
62 | |
0 |
|
Application of Non Parametric Empirical Bayes Estimation to High Dimensional Classification
|
1 |
2014-04-28 |
140.39kB |
43 | |
0 |
|
Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation
|
1 |
2014-04-28 |
339.80kB |
71 | |
0 |
|
Approximate Marginals in Latent Gaussian Models
|
1 |
2014-04-28 |
3.57MB |
54 | |
0 |
|
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes
|
1 |
2014-04-28 |
553.64kB |
58 | |
0 |
|
Approximate Tree Kernels
|
1 |
2014-04-28 |
373.35kB |
53 | |
0 |
|
Approximating the Permanent with Fractional Belief Propagation
|
1 |
2014-04-28 |
4.16MB |
61 | |
0 |
|
Approximations for Binary Gaussian Process Classification
|
1 |
2014-04-28 |
62.86kB |
67 | |
0 |
|
Assessing Approximate Inference for Binary Gaussian Process Classification
|
1 |
2014-04-28 |
483.69kB |
52 | |
0 |
|
Asymptotic Model Selection for Naive Bayesian Networks
|
1 |
2014-04-28 |
1.08MB |
55 | |
0 |
|
Asymptotics in Empirical Risk Minimization
|
1 |
2014-04-28 |
150.53kB |
50 | |
0 |
|
Automatic PCA Dimension Selection for High Dimensional Data and Small Sample Sizes
|
1 |
2014-04-28 |
3.72MB |
59 | 1+ |
0 |
|
Bayes Point Machines (Kernel Machines Section)
|
1 |
2014-04-28 |
977.43kB |
56 | |
0 |
|
Bayesian Canonical Correlation Analysis
|
1 |
2014-04-28 |
515.47kB |
63 | |
0 |
|
Bayesian Co-Training
|
1 |
2014-04-28 |
377.65kB |
59 | |
0 |
|
Bayesian Generalized Kernel Mixed Models
|
1 |
2014-04-28 |
340.76kB |
59 | |
0 |
|
Bayesian Inference and Optimal Design for the Sparse Linear Model
|
1 |
2014-04-28 |
448.97kB |
198 | |
0 |
|
Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing
|
1 |
2014-04-28 |
3.36MB |
65 | |
0 |
|
Bayesian Mixed-Effects Inference on Classification Performance in Hierarchical Data Sets
|
1 |
2014-04-28 |
1.70MB |
77 | |
0 |
|
Bayesian Network Learning with Parameter Constraints (Special Topic on Machine Learning and Optimization)
|
1 |
2014-04-28 |
259.55kB |
70 | |
0 |
|
Bayesian Network Structure Learning by Recursive Autonomy Identification
|
1 |
2014-04-28 |
532.30kB |
59 | |
0 |
|
Bayesian Nonparametric Hidden Semi-Markov Models
|
1 |
2014-04-28 |
586.13kB |
78 | 2+ |
0 |
|
Bayesian Quadratic Discriminant Analysis
|
1 |
2014-04-28 |
196.90kB |
53 | |
0 |
|
Behavioral Shaping for Geometric Concepts
|
1 |
2014-04-28 |
234.07kB |
61 | 1+ |
0 |
|
Belief Propagation for Continuous State Spaces: Stochastic Message-Passing with Quantitative Guarantees
|
1 |
2014-04-28 |
519.90kB |
52 | |
0 |
|
Benefitting from the Variables that Variable Selection Discards
|
1 |
2014-04-28 |
176.22kB |
50 | 2+ |
0 |
|
Better Algorithms for Benign Bandits
|
1 |
2014-04-28 |
186.30kB |
55 | |
0 |
|
Beyond Fano's Inequality: Bounds on the Optimal F-Score, BER, and Cost-Sensitive Risk and Their Implications
|
1 |
2014-04-28 |
542.56kB |
59 | |
0 |
|
Beyond Independent Components: Trees and Clusters
|
1 |
2014-04-28 |
239.11kB |
61 | |
0 |
|
Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods
|
1 |
2014-04-28 |
345.18kB |
54 | |
0 |
|
Bilinear Discriminant Component Analysis
|
1 |
2014-04-28 |
669.21kB |
59 | |
0 |
|
Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation
|
1 |
2014-04-28 |
918.89kB |
60 | |
0 |
|
Blind Source Recovery: A Framework in the State Space
|
1 |
2014-04-28 |
196.76kB |
57 | |
0 |
|
Blind Source Separation via Generalized Eigenvalue Decomposition
|
1 |
2014-04-28 |
546.79kB |
61 | |
0 |
|
Boosted Classification Trees and Class ProbabilityQuantile Estimation
|
1 |
2014-04-28 |
989.97kB |
52 | |
0 |
|
Boosting as a Regularized Path to a Maximum Margin Classifier
|
1 |
2014-04-28 |
1.26MB |
62 | |
0 |
|
Bottom-Up Relational Learning of Pattern Matching Rules for Information Extraction
|
1 |
2014-04-28 |
184.33kB |
80 | |
0 |
|
Bouligand Derivatives and Robustness of Support Vector Machines for Regression
|
1 |
2014-04-28 |
531.56kB |
63 | |
0 |
|
Bounded Kernel-Based Online Learning
|
1 |
2014-04-28 |
429.45kB |
58 | |
0 |
|
Bounding the Probability of Error for High Precision Optical Character Recognition
|
1 |
2014-04-28 |
698.79kB |
75 | |
0 |
|
Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation
|
1 |
2014-04-28 |
266.31kB |
57 | |
0 |
|
Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training
|
1 |
2014-04-28 |
304.58kB |
62 | |
0 |
|
BudgetedSVM: A Toolbox for Scalable SVM Approximations
|
1 |
2014-04-28 |
74.78kB |
44 | |
0 |
|
Building Blocks for Variational Bayesian Learning of Latent Variable Models
|
1 |
2014-04-28 |
426.83kB |
58 | |
0 |
|
Building Support Vector Machines with Reduced Classifier Complexity (Special Topic on Machine Learning and Optimization)
|
1 |
2014-04-28 |
244.17kB |
68 | |
0 |
|
Bundle Methods for Regularized Risk Minimization
|
1 |
2014-04-28 |
1.84MB |
57 | |
0 |
|
CARP: Software for Fishing Out Good Clustering Algorithms
|
1 |
2014-04-28 |
584.44kB |
57 | |
0 |
|
CarpeDiem: Optimizing the Viterbi Algorithm and Applications to Supervised Sequential Learning
|
1 |
2014-04-28 |
1.15MB |
84 | |
0 |
|
Causal Graph Based Decomposition of Factored MDPs
|
1 |
2014-04-28 |
305.91kB |
59 | |
0 |
|
Causal Reasoning with Ancestral Graphs(Special Topic on Causality)
|
1 |
2014-04-28 |
728.93kB |
55 | |
0 |
|
Cautious Collective Classification
|
1 |
2014-04-28 |
525.68kB |
53 | |
0 |
|
Change Point Problems in Linear Dynamical Systems
|
1 |
2014-04-28 |
230.78kB |
74 | |
0 |
|
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs
|
1 |
2014-04-28 |
1.84MB |
61 | 1+ |
0 |
|
Characterization, Stability and Convergence of Hierarchical Clustering Methods
|
1 |
2014-04-28 |
857.23kB |
65 | |
0 |
|
Characterizing the Function Space for Bayesian Kernel Models
|
1 |
2014-04-28 |
228.85kB |
52 | |
0 |
|
Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary -Mixing Processes
|
1 |
2014-04-28 |
237.71kB |
63 | |
0 |
|
Classification in Networked Data: A Toolkit and a Univariate Case Study
|
1 |
2014-04-28 |
452.34kB |
55 | |
0 |
|
Classification Methods with Reject Option Based on Convex Risk Minimization
|
1 |
2014-04-28 |
123.29kB |
65 | |
0 |
|
Classification Using Geometric Level Sets
|
1 |
2014-04-28 |
1.04MB |
55 | |
0 |
|
Classification with a Reject Option using a Hinge Loss
|
1 |
2014-04-28 |
299.31kB |
55 | |
0 |
|
Classification with Gaussians and Convex Loss
|
1 |
2014-04-28 |
188.00kB |
48 | |
0 |
|
Classification with Incomplete Data Using Dirichlet Process Priors
|
1 |
2014-04-28 |
1.18MB |
54 | |
0 |
|
Classifier Selection using the Predicate Depth
|
1 |
2014-04-28 |
243.22kB |
57 | 1+ |
0 |
|
Classifying With Confidence From Incomplete Information
|
1 |
2014-04-28 |
1.09MB |
56 | |
0 |
|
Closed Sets for Labeled Data
|
1 |
2014-04-28 |
546.17kB |
47 | |
0 |
|
Cluster Analysis: Unsupervised Learning via Supervised Learning with a Non-convex Penalty
|
1 |
2014-04-28 |
240.33kB |
75 | 1+ |
0 |
|
Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions
|
1 |
2014-04-28 |
29.62kB |
65 | 3+ |
0 |
|
Clustering on the Unit Hypersphere using von Mises-Fisher Distributions
|
1 |
2014-04-28 |
295.34kB |
50 | |
0 |
|
Clustering with Bregman Divergences
|
1 |
2014-04-28 |
342.74kB |
45 | |
0 |
|
CODA: High Dimensional Copula Discriminant Analysis
|
1 |
2014-04-28 |
399.30kB |
68 | 1+ |
0 |
|
Coherence Functions with Applications in Large-Margin Classification Methods
|
1 |
2014-04-28 |
345.58kB |
45 | |
0 |
|
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
|
1 |
2014-04-28 |
521.27kB |
56 | |
0 |
|
Collective Inference for Extraction MRFs Coupled with Symmetric Clique Potentials
|
1 |
2014-04-28 |
465.78kB |
52 | |
0 |
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Combining Information Extraction Systems Using Voting and Stacked Generalization
|
1 |
2014-04-28 |
407.66kB |
59 | |
0 |
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Combining Knowledge from Different Sources in Causal Probabilistic Models
|
1 |
2014-04-28 |
152.73kB |
59 | |
0 |
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Combining PAC-Bayesian and Generic Chaining Bounds
|
1 |
2014-04-28 |
237.12kB |
50 | |
0 |
|
Comment on "Robustness and Regularization of Support Vector Machines" by H. Xu et al. (Journal of Machine Learning Research, vol. 10, pp. 1485-1510, 2009)
|
1 |
2014-04-28 |
41.09kB |
51 | 1+ |
0 |
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Comments on the "Core Vector Machines: Fast SVM Training on Very Large Data Sets"
|
1 |
2014-04-28 |
131.09kB |
48 | |
0 |
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Comments on the Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion
|
1 |
2014-04-28 |
439.54kB |
65 | |
0 |
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Communication-Efficient Algorithms for Statistical Optimization
|
1 |
2014-04-28 |
381.05kB |
69 | |
0 |
|
Complete Identification Methods for the Causal Hierarchy(Special Topic on Causality)
|
1 |
2014-04-28 |
495.05kB |
59 | |
0 |
|
Composite Binary Losses
|
1 |
2014-04-28 |
706.13kB |
58 | |
0 |
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Computable Shell Decomposition Bounds
|
1 |
2014-04-28 |
226.90kB |
55 | |
0 |
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Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis
|
1 |
2014-04-28 |
156.31kB |
62 | |
0 |
|
Computationally Efficient Convolved Multiple Output Gaussian Processes
|
1 |
2014-04-28 |
646.80kB |
50 | |
0 |
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Computing Maximum Likelihood Estimates in Recursive Linear Models with Correlated Errors
|
1 |
2014-04-28 |
174.47kB |
200 | |
0 |
|
Concave Learners for Rankboost
|
1 |
2014-04-28 |
170.76kB |
47 | |
0 |
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Concentration Bounds for Unigram Language Models
|
1 |
2014-04-28 |
219.42kB |
46 | |
0 |
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Concentration Inequalities for the Missing Mass and for Histogram Rule Error
|
1 |
2014-04-28 |
323.71kB |
52 | |
0 |
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Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection
|
1 |
2014-04-28 |
706.10kB |
70 | |
0 |
|
Confidence-Weighted Linear Classification for Text Categorization
|
1 |
2014-04-28 |
2.04MB |
69 | |
0 |
|
Conjugate Relation between Loss Functions and Uncertainty Sets in Classification Problems
|
1 |
2014-04-28 |
535.15kB |
69 | 1+ |
0 |
|
Consensus-Based Distributed Support Vector Machines
|
1 |
2014-04-28 |
1.06MB |
58 | |
0 |
|
Considering Cost Asymmetry in Learning Classifiers
|
1 |
2014-04-28 |
355.12kB |
50 | |
0 |
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Consistency and Convergence Rates of One-Class SVMs and Related Algorithms
|
1 |
2014-04-28 |
258.63kB |
53 | |
0 |
|
Consistency and Localizability
|
1 |
2014-04-28 |
223.51kB |
47 | |
0 |
|
Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss
|
1 |
2014-04-28 |
122.78kB |
53 | |
0 |
|
Consistency of Random Forests and Other Averaging Classifiers
|
1 |
2014-04-28 |
235.86kB |
61 | |
0 |
|
Consistency of Trace Norm Minimization
|
1 |
2014-04-28 |
168.85kB |
56 | 2+ |
0 |
|
Consistent Feature Selection for Pattern Recognition in Polynomial Time
|
1 |
2014-04-28 |
362.46kB |
52 | |
0 |
|
Consistent Model Selection Criteria on High Dimensions
|
1 |
2014-04-28 |
147.59kB |
50 | |
0 |
|
Consistent Nonparametric Tests of Independence
|
1 |
2014-04-28 |
369.96kB |
61 | 1+ |
0 |
|
Consistent Selection of Tuning Parameters via Variable Selection Stability
|
1 |
2014-04-28 |
251.37kB |
56 | 1+ |
0 |
|
Construction of Approximation Spaces for Reinforcement Learning
|
1 |
2014-04-28 |
778.55kB |
48 | |
0 |
|
Continuous Time Bayesian Network Reasoning and Learning Engine
|
1 |
2014-04-28 |
34.13kB |
98 | |
0 |
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Controlling the False Discovery Rate of the AssociationCausality Structure Learned with the PC Algorithm(Special Topic on Mining and Learning with Graphs and Relations)
|
1 |
2014-04-28 |
469.20kB |
76 | |
0 |
|
Convergence Theorems for Generalized Alternating Minimization Procedures
|
1 |
2014-04-28 |
170.83kB |
51 | |
0 |
|
Convex and Network Flow Optimization for Structured Sparsity
|
1 |
2014-04-28 |
763.93kB |
57 | |
0 |
|
Convex and Scalable Weakly Labeled SVMs
|
1 |
2014-04-28 |
1.03MB |
58 | 1+ |
0 |
|
Core Vector Machines: Fast SVM Training on Very Large Data Sets
|
1 |
2014-04-28 |
417.31kB |
76 | 1+ |
0 |
|
Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising
|
1 |
2014-04-28 |
1.39MB |
70 | |
0 |
|
Coupled Clustering: A Method for Detecting Structural Correspondence
|
1 |
2014-04-28 |
111.02kB |
93 | |
0 |
|
Covariance in Unsupervised Learning of Probabilistic Grammars
|
1 |
2014-04-28 |
383.37kB |
77 | |
0 |
|
Covariate Shift Adaptation by Importance Weighted Cross Validation
|
1 |
2014-04-28 |
273.84kB |
46 | |
0 |
|
Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Functions on Graphs
|
1 |
2014-04-28 |
2.03MB |
103 | |
0 |
|
Data-dependent margin-based generalization bounds for classification
|
1 |
2014-04-28 |
298.60kB |
56 | |
0 |
|
Data-driven Calibration of Penalties for Least-Squares Regression
|
1 |
2014-04-28 |
262.75kB |
53 | |
0 |
|
DEAP: Evolutionary Algorithms Made Easy
|
1 |
2014-04-28 |
302.54kB |
93 | |
0 |
|
Denoising Source Separation
|
1 |
2014-04-28 |
1.95MB |
46 | |
0 |
|
Dependency Networks for Inference, Collaborative Filtering, and Data Visualization
|
1 |
2014-04-28 |
294.25kB |
64 | |
0 |
|
Derivative Estimation with Local Polynomial Fitting
|
1 |
2014-04-28 |
590.78kB |
15 | |
0 |
|
Designing Committees of Models through Deliberate Weighting of Data Points
|
1 |
2014-04-28 |
237.35kB |
73 | |
0 |
|
Deterministic Error Analysis of Support Vector Regression and Related Regularized Kernel Methods
|
1 |
2014-04-28 |
163.77kB |
57 | 1+ |
0 |
|
Differential Privacy for Functions and Functional Data
|
1 |
2014-04-28 |
314.75kB |
51 | 1+ |
0 |
|
Differentially Private Empirical Risk Minimization
|
1 |
2014-04-28 |
339.06kB |
49 | 1+ |
0 |
|
Diffusion Kernels on Statistical Manifolds
|
1 |
2014-04-28 |
1.34MB |
56 | |
0 |
|
Dimension Independent Similarity Computation
|
1 |
2014-04-28 |
190.02kB |
49 | |
0 |
|
Dimension Reduction in Text Classification with Support Vector Machines
|
1 |
2014-04-28 |
107.39kB |
67 | |
0 |
|
Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting
|
1 |
2014-04-28 |
662.38kB |
70 | |
0 |
|
Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces
|
1 |
2014-04-28 |
340.16kB |
68 | |
0 |
|
Dimensionality Reduction via Sparse Support Vector Machines (Kernel Machines Section)
|
1 |
2014-04-28 |
200.16kB |
48 | |
0 |
|
DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model
|
1 |
2014-04-28 |
934.53kB |
56 | |
0 |
|
Dirichlet Process Mixtures of Generalized Linear Models
|
1 |
2014-04-28 |
2.93MB |
53 | |
0 |
|
Discriminative Hierarchical Part-based Models for Human Parsing and Action Recognition
|
1 |
2014-04-28 |
9.09MB |
62 | |
0 |
|
Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood
|
1 |
2014-04-28 |
447.14kB |
58 | 1+ |
0 |
|
Discriminative Learning of Max-Sum Classifiers
|
1 |
2014-04-28 |
1.53MB |
51 | |
0 |
|
Discriminative Learning Under Covariate Shift
|
1 |
2014-04-28 |
165.70kB |
47 | 1+ |
0 |
|
Distance Dependent Chinese Restaurant Processes
|
1 |
2014-04-28 |
1.96MB |
53 | |
0 |
|
Distance Metric Learning for Large Margin Nearest Neighbor Classification
|
1 |
2014-04-28 |
1.98MB |
80 | |
0 |
|
Distance Metric Learning with Eigenvalue Optimization
|
1 |
2014-04-28 |
238.08kB |
56 | 2+ |
0 |
|
Distance-Based Classification with Lipschitz Functions (Special Topic on Learning Theory)
|
1 |
2014-04-28 |
153.01kB |
60 | |
0 |
|
Distributed Algorithms for Topic Models
|
1 |
2014-04-28 |
332.89kB |
59 | |
0 |
|
Distribution-Dependent Sample Complexity of Large Margin Learning
|
1 |
2014-04-28 |
335.74kB |
48 | 1+ |
0 |
|
Distributional Scaling: An Algorithm for Structure-Preserving Embedding of Metric and Nonmetric Spaces
|
1 |
2014-04-28 |
563.08kB |
96 | |
0 |
|
Distributional Word Clusters vs. Words for Text Categorization (Kernel Machines Section)
|
1 |
2014-04-28 |
140.10kB |
65 | |
0 |
|
Distributions of Angles in Random Packing on Spheres
|
1 |
2014-04-28 |
276.01kB |
53 | 1+ |
0 |
|
Divvy: Fast and Intuitive Exploratory Data Analysis
|
1 |
2014-04-28 |
276.72kB |
1,542 | 1+ |
0 |
|
Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets
|
1 |
2014-04-28 |
427.93kB |
54 | |
0 |
|
Double Updating Online Learning
|
1 |
2014-04-28 |
302.62kB |
57 | |
0 |
|
Dynamic Affine-Invariant Shape-Appearance Handshape Features and Classification in Sign Language Videos
|
1 |
2014-04-28 |
3.98MB |
54 | 1+ |
0 |
|
Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data
|
1 |
2014-04-28 |
259.93kB |
59 | 1+ |
0 |
|
Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction
|
1 |
2014-04-28 |
441.50kB |
69 | |
0 |
|
Dynamic Policy Programming
|
1 |
2014-04-28 |
360.04kB |
77 | |
0 |
|
Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts
|
1 |
2014-04-28 |
490.17kB |
46 | |
0 |
|
Dynamics and Generalization Ability of LVQ Algorithms
|
1 |
2014-04-28 |
608.48kB |
54 | |
0 |
|
Efficient Active Learning of Halfspaces: An Aggressive Approach
|
1 |
2014-04-28 |
2.89MB |
58 | 1+ |
0 |
|
Efficient Algorithms for Conditional Independence Inference
|
1 |
2014-04-28 |
218.06kB |
57 | |
0 |
|
Efficient Algorithms for Decision Tree Cross-validation
|
1 |
2014-04-28 |
1.01MB |
74 | |
0 |
|
Efficient Algorithms for Universal Portfolios
|
1 |
2014-04-28 |
358.86kB |
62 | |
0 |
|
Efficient and Effective Visual Codebook Generation Using Additive Kernels
|
1 |
2014-04-28 |
165.80kB |
57 | 1+ |
0 |
|
Efficient Computation of Gapped Substring Kernels on Large Alphabets
|
1 |
2014-04-28 |
254.61kB |
47 | |
0 |
|
Efficient Feature Selection via Analysis of Relevance and Redundancy
|
1 |
2014-04-28 |
221.16kB |
73 | 2+ |
0 |
|
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers
|
1 |
2014-04-28 |
649.08kB |
72 | |
0 |
|
Efficient Learning of Label Ranking by Soft Projections onto Polyhedra (Special Topic on Machine Learning and Optimization)
|
1 |
2014-04-28 |
572.89kB |
47 | |
0 |
|
Efficient Learning with Partially Observed Attributes
|
1 |
2014-04-28 |
187.32kB |
53 | |
0 |
|
Efficient Margin Maximizing with Boosting
|
1 |
2014-04-28 |
605.34kB |
62 | |
0 |
|
Efficient Methods for Robust Classification Under Uncertainty in Kernel Matrices
|
1 |
2014-04-28 |
395.10kB |
62 | 1+ |
0 |
|
Efficient Online and Batch Learning Using Forward Backward Splitting
|
1 |
2014-04-28 |
514.50kB |
50 | |
0 |
|
Efficient Program Synthesis Using Constraint Satisfaction in Inductive Logic Programming
|
1 |
2014-04-28 |
278.96kB |
71 | 1+ |
0 |
|
Efficient Structure Learning of Bayesian Networks using Constraints
|
1 |
2014-04-28 |
215.95kB |
50 | |
0 |
|
Efficient SVM Training Using Low-Rank Kernel Representations (Kernel Machines Section)
|
1 |
2014-04-28 |
463.05kB |
49 | |
0 |
|
Eliminating Spammers and Ranking Annotators for Crowdsourced Labeling Tasks
|
1 |
2014-04-28 |
449.19kB |
81 | |
0 |
|
Energy-Based Models for Sparse Overcomplete Representations
|
1 |
2014-04-28 |
218.01kB |
60 | |
0 |
|
Entropy Inference and the James-Stein Estimator, with Application to Nonlinear Gene Association Networks
|
1 |
2014-04-28 |
147.29kB |
53 | |
0 |
|
Entropy Search for Information-Efficient Global Optimization
|
1 |
2014-04-28 |
891.10kB |
329 | 1+ |
0 |
|
EP-GIG Priors and Applications in Bayesian Sparse Learning
|
1 |
2014-04-28 |
1.23MB |
57 | 2+ |
0 |
|
Erratum: SGDQN is Less Careful than Expected
|
1 |
2014-04-28 |
998.43kB |
58 | |
0 |
|
Error-Correcting Output Codes Library
|
1 |
2014-04-28 |
95.19kB |
58 | |
0 |
|
Estimating Functions for Blind Separation When Sources Have Variance Dependencies
|
1 |
2014-04-28 |
658.28kB |
62 | |
0 |
|
Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm
|
1 |
2014-04-28 |
199.05kB |
73 | |
0 |
|
Estimating Labels from Label Proportions
|
1 |
2014-04-28 |
390.11kB |
50 | |
0 |
|
Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers
|
1 |
2014-04-28 |
449.20kB |
53 | |
0 |
|
Estimation and Selection via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications
|
1 |
2014-04-28 |
264.28kB |
52 | |
0 |
|
Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity
|
1 |
2014-04-28 |
502.65kB |
61 | |
0 |
|
Estimation of Gradients and Coordinate Covariation in Classification
|
1 |
2014-04-28 |
317.44kB |
53 | |
0 |
|
Estimation of Sparse Binary Pairwise Markov Networks using Pseudo-likelihoods
|
1 |
2014-04-28 |
243.92kB |
45 | |
0 |
|
Euclidean Embedding of Co-occurrence Data
|
1 |
2014-04-28 |
908.31kB |
52 | |
0 |
|
Evidence Contrary to the Statistical View of Boosting
|
1 |
2014-04-28 |
973.13kB |
55 | |
0 |
|
Evolutionary Function Approximation for Reinforcement Learning
|
1 |
2014-04-28 |
1.55MB |
61 | |
0 |
|
Evolutionary Model Type Selection for Global Surrogate Modeling
|
1 |
2014-04-28 |
1.28MB |
64 | |
0 |
|
Evolving Static Representations for Task Transfer
|
1 |
2014-04-28 |
9.96MB |
59 | |
0 |
|
Exact Bayesian Structure Discovery in Bayesian Networks
|
1 |
2014-04-28 |
173.90kB |
62 | |
0 |
|
Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso
|
1 |
2014-04-28 |
911.77kB |
54 | |
0 |
|
Exact Simplification of Support Vector Solutions (Kernel Machines Section)
|
1 |
2014-04-28 |
332.06kB |
52 | |
0 |
|
Expectation Consistent Approximate Inference
|
1 |
2014-04-28 |
284.26kB |
50 | 1+ |
0 |
|
Expectation Truncation and the Benefits of Preselection In Training Generative Models
|
1 |
2014-04-28 |
1.44MB |
69 | |
0 |
|
Experiment Selection for Causal Discovery
|
1 |
2014-04-28 |
1.27MB |
49 | 1+ |
0 |
|
Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation
|
1 |
2014-04-28 |
1.45MB |
75 | 1+ |
0 |
|
Exploiting Best-Match Equations for Efficient Reinforcement Learning
|
1 |
2014-04-28 |
495.83kB |
51 | |
0 |
|
Exploiting Product Distributions to Identify Relevant Variables of Correlation Immune Functions
|
1 |
2014-04-28 |
314.36kB |
63 | 1+ |
0 |
|
Exploration in Relational Domains for Model-based Reinforcement Learning
|
1 |
2014-04-28 |
697.87kB |
57 | |
0 |
|
Exploring Strategies for Training Deep Neural Networks
|
1 |
2014-04-28 |
973.02kB |
166 | |
0 |
|
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
|
1 |
2014-04-28 |
252.23kB |
53 | |
0 |
|
Extensions to Metric-Based Model Selection
|
1 |
2014-04-28 |
657.99kB |
59 | |
0 |
|
Facilitating Score and Causal Inference Trees for Large Observational Studies
|
1 |
2014-04-28 |
355.27kB |
77 | 1+ |
0 |
|
Fast and Scalable Local Kernel Machines
|
1 |
2014-04-28 |
425.91kB |
77 | |
0 |
|
Fast Approximate kNN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection
|
1 |
2014-04-28 |
3.24MB |
63 | |
0 |
|
Fast Approximation of Matrix Coherence and Statistical Leverage
|
1 |
2014-04-28 |
285.26kB |
50 | 1+ |
0 |
|
Fast Generalized Subset Scan for Anomalous Pattern Detection
|
1 |
2014-04-28 |
2.76MB |
58 | |
0 |
|
Fast Iterative Kernel Principal Component Analysis
|
1 |
2014-04-28 |
3.19MB |
58 | |
0 |
|
Fast Kernel Classifiers with Online and Active Learning
|
1 |
2014-04-28 |
507.26kB |
51 | |
0 |
|
Fast MCMC Sampling for Markov Jump Processes and Extensions
|
1 |
2014-04-28 |
393.64kB |
50 | |
0 |
|
Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problems (Special Topic on Machine Learning and Optimization)
|
1 |
2014-04-28 |
1.04MB |
56 | |
0 |
|
Fast String Kernels using Inexact Matching for Protein Sequences
|
1 |
2014-04-28 |
142.59kB |
67 | 2+ |
0 |
|
Faster Algorithms for Max-Product Message-Passing
|
1 |
2014-04-28 |
1.12MB |
60 | |
0 |
|
FastInf: An Efficient Approximate Inference Library
|
1 |
2014-04-28 |
32.60kB |
76 | |
0 |
|
Feature Discovery in Non-Metric Pairwise Data
|
1 |
2014-04-28 |
255.36kB |
57 | 2+ |
0 |
|
Feature Selection for Unsupervised and Supervised Inference: The Emergence of Sparsity in a Weight-Based Approach
|
1 |
2014-04-28 |
402.63kB |
55 | |
0 |
|
Feature Selection for Unsupervised Learning
|
1 |
2014-04-28 |
317.56kB |
61 | 2+ |
0 |
|
Feature Selection via Dependence Maximization
|
1 |
2014-04-28 |
1.55MB |
111 | |
0 |
|
Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination(Special Topic on Model Selection)
|
1 |
2014-04-28 |
200.94kB |
60 | 1+ |
0 |
|
Finding Optimal Bayesian Network Given a Super-Structure
|
1 |
2014-04-28 |
356.67kB |
59 | |
0 |
|
Finding Optimal Bayesian Networks Using Precedence Constraints
|
1 |
2014-04-28 |
343.11kB |
61 | 2+ |
0 |
|
Finding Recurrent Patterns from Continuous Sign Language Sentences for Automated Extraction of Signs
|
1 |
2014-04-28 |
982.84kB |
175 | |
0 |
|
Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling
|
1 |
2014-04-28 |
186.16kB |
67 | |
0 |
|
Finite-Sample Analysis of Least-Squares Policy Iteration
|
1 |
2014-04-28 |
290.03kB |
53 | 3+ |
0 |
|
Finite-Time Bounds for Fitted Value Iteration
|
1 |
2014-04-28 |
54.73kB |
52 | |
0 |
|
FINkNN: A Fuzzy Interval Number k-Nearest Neighbor Classifier for Prediction of Sugar Production from Populations of Samples
|
1 |
2014-04-28 |
360.76kB |
67 | |
0 |
|
Forecasting Web Page Views: Methods and Observations
|
1 |
2014-04-28 |
2.50MB |
194 | |
0 |
|
Forest Density Estimation
|
1 |
2014-04-28 |
809.73kB |
63 | |
0 |
|
Fourier Theoretic Probabilistic Inference over Permutations
|
1 |
2014-04-28 |
696.98kB |
44 | |
0 |
|
Frames, Reproducing Kernels, Regularization and Learning
|
1 |
2014-04-28 |
338.35kB |
48 | |
0 |
|
From External to Internal Regret (Special Topic on the Conference on Learning Theory 2005)
|
1 |
2014-04-28 |
163.17kB |
58 | 1+ |
0 |
|
Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains
|
1 |
2014-04-28 |
256.29kB |
62 | |
0 |
|
Gaussian Kullback-Leibler Approximate Inference
|
1 |
2014-04-28 |
922.45kB |
57 | |
0 |
|
Gaussian Processes for Machine Learning (GPML) Toolbox
|
1 |
2014-04-28 |
55.05kB |
81 | |
0 |
|
Gaussian Processes for Ordinal Regression
|
1 |
2014-04-28 |
269.26kB |
48 | |
0 |
|
General Polynomial Time Decomposition Algorithms (Special Topic on the Conference on Learning Theory 2005)
|
1 |
2014-04-28 |
154.04kB |
69 | |
0 |
|
Generalization Bounds for Ranking Algorithms via Algorithmic Stability
|
1 |
2014-04-28 |
262.74kB |
65 | |
0 |
|
Generalization Bounds for the Area Under the ROC Curve
|
1 |
2014-04-28 |
259.60kB |
54 | |
0 |
|
Generalization Error Bounds for Bayesian Mixture Algorithms
|
1 |
2014-04-28 |
160.18kB |
53 | 1+ |
0 |
|
Generalization from Observed to Unobserved Features by Clustering
|
1 |
2014-04-28 |
133.38kB |
57 | |
1 |
|
Generalized Bradley-Terry Models and Multi-Class Probability Estimates
|
1 |
2014-04-28 |
402.41kB |
46 | |
0 |
|
Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data
|
1 |
2014-04-28 |
682.23kB |
77 | |
0 |
|
Generalized Power Method for Sparse Principal Component Analysis
|
1 |
2014-04-28 |
303.39kB |
65 | |
0 |
|
Generalized Spike-and-Slab Priors for Bayesian Group Feature Selection Using Expectation Propagation
|
1 |
2014-04-28 |
1.66MB |
53 | |
0 |
|
Generalized TD Learning
|
1 |
2014-04-28 |
400.39kB |
52 | |
0 |
|
Gini Support Vector Machine: Quadratic Entropy Based Robust Multi-Class Probability Regression
|
1 |
2014-04-28 |
817.86kB |
49 | 1+ |
0 |
|
Global Analytic Solution of Fully-observed Variational Bayesian Matrix Factorization
|
1 |
2014-04-28 |
507.62kB |
56 | |
0 |
|
GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression
|
1 |
2014-04-28 |
43.28kB |
55 | |
0 |
|
GPstuff: Bayesian Modeling with Gaussian Processes
|
1 |
2014-04-28 |
74.12kB |
53 | |
0 |
|
Gradient Tree Boosting for Training Conditional Random Fields
|
1 |
2014-04-28 |
2.50MB |
63 | |
0 |
|
Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space (Kernel Machines Section)
|
1 |
2014-04-28 |
253.43kB |
81 | |
0 |
|
Graph Kernels
|
1 |
2014-04-28 |
1.56MB |
68 | |
0 |
|
Graph Laplacians and their Convergence on Random Neighborhood Graphs (Special Topic on the Conference on Learning Theory 2005)
|
1 |
2014-04-28 |
2.91MB |
59 | |
0 |
|
Graph-Based Hierarchical Conceptual Clustering
|
1 |
2014-04-28 |
207.11kB |
55 | |
0 |
|
Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models
|
1 |
2014-04-28 |
246.47kB |
48 | |
0 |
|
Graphical Models for Structured Classification, with an Application to Interpreting Images of Protein Subcellular Location Patterns
|
1 |
2014-04-28 |
162.58kB |
59 | 1+ |
0 |
|
Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity
|
1 |
2014-04-28 |
245.62kB |
89 | |
0 |
|
Greedy Feature Selection for Subspace Clustering
|
1 |
2014-04-28 |
956.72kB |
53 | 1+ |
0 |
|
Greedy Sparsity-Constrained Optimization
|
1 |
2014-04-28 |
362.50kB |
62 | 1+ |
0 |
|
Group Lasso Estimation of High-dimensional Covariance Matrices
|
1 |
2014-04-28 |
354.44kB |
47 | |
0 |
|
GURLS: A Least Squares Library for Supervised Learning
|
1 |
2014-04-28 |
76.03kB |
71 | 1+ |
0 |
|
Handling Missing Values when Applying Classification Models
|
1 |
2014-04-28 |
389.65kB |
53 | |
0 |
|
Harnessing the Expertise of 70,000 Human Editors: Knowledge-Based Feature Generation for Text Categorization
|
1 |
2014-04-28 |
302.31kB |
68 | |
0 |
|
Hash Kernels for Structured Data
|
1 |
2014-04-28 |
260.30kB |
64 | |
0 |
|
Hierarchical Average Reward Reinforcement Learning
|
1 |
2014-04-28 |
332.69kB |
45 | |
0 |
|
Hierarchical Knowledge Gradient for Sequential Sampling
|
1 |
2014-04-28 |
594.38kB |
59 | |
0 |
|
High-dimensional Covariance Estimation Based On Gaussian Graphical Models
|
1 |
2014-04-28 |
735.00kB |
52 | |
0 |
|
High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion
|
1 |
2014-04-28 |
380.31kB |
57 | 1+ |
0 |
|
High-dimensional Variable Selection with Sparse Random Projections: Measurement Sparsity and Statistical Efficiency
|
1 |
2014-04-28 |
205.18kB |
60 | |
0 |
|
Hilbert Space Embeddings and Metrics on Probability Measures
|
1 |
2014-04-28 |
530.50kB |
58 | |
0 |
|
Hit Miss Networks with Applications to Instance Selection
|
1 |
2014-04-28 |
195.86kB |
55 | |
0 |
|
How to Explain Individual Classification Decisions
|
1 |
2014-04-28 |
1.64MB |
53 | |
0 |
|
How to Solve Classification and Regression Problems on High-Dimensional Data with a Supervised Extension of Slow Feature Analysis
|
1 |
2014-04-28 |
1.19MB |
72 | |
0 |
|
HPB: A Model for Handling BN Nodes with High Cardinality Parents
|
1 |
2014-04-28 |
306.21kB |
38 | |
0 |
|
Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data
|
1 |
2014-04-28 |
1.09MB |
63 | |
0 |
|
Hybrid MPIOpenMP Parallel Linear Support Vector Machine Training
|
1 |
2014-04-28 |
133.81kB |
57 | |
0 |
|
Hyper-Sparse Optimal Aggregation
|
1 |
2014-04-28 |
900.66kB |
54 | |
0 |
|
ICA for Watermarking Digital Images
|
1 |
2014-04-28 |
3.44MB |
64 | |
0 |
|
ICA Using Spacings Estimates of Entropy
|
1 |
2014-04-28 |
534.27kB |
55 | |
0 |
|
Identification of Recurrent Neural Networks by Bayesian Interrogation Techniques
|
1 |
2014-04-28 |
878.32kB |
109 | |
0 |
|
ILP: A Short Look Back and a Longer Look Forward
|
1 |
2014-04-28 |
11.60kB |
74 | |
0 |
|
Image Categorization by Learning and Reasoning with Regions
|
1 |
2014-04-28 |
149.86kB |
58 | |
0 |
|
Image Denoising with Kernels Based on Natural Image Relations
|
1 |
2014-04-28 |
1.77MB |
100 | |
0 |
|
Importance Sampling for Continuous Time Bayesian Networks
|
1 |
2014-04-28 |
246.97kB |
83 | 1+ |
0 |
|
Improved Moves for Truncated Convex Models
|
1 |
2014-04-28 |
526.60kB |
45 | |
0 |
|
Improving CUR Matrix Decomposition and the Nystrom Approximation via Adaptive Sampling
|
1 |
2014-04-28 |
691.67kB |
46 | |
0 |
|
Improving the Reliability of Causal Discovery from Small Data Sets Using Argumentation(Special Topic on Causality)
|
1 |
2014-04-28 |
325.20kB |
60 | |
0 |
|
In All Likelihood, Deep Belief Is Not Enough
|
1 |
2014-04-28 |
447.32kB |
76 | |
0 |
|
In Defense of One-Vs-All Classification
|
1 |
2014-04-28 |
73.11kB |
54 | 2+ |
0 |
|
In Search of Non-Gaussian Components of a High-Dimensional Distribution
|
1 |
2014-04-28 |
1.28MB |
75 | |
0 |
|
Incorporating Functional Knowledge in Neural Networks
|
1 |
2014-04-28 |
181.14kB |
75 | |
0 |
|
Incremental Algorithms for Hierarchical Classification
|
1 |
2014-04-28 |
183.49kB |
54 | |
0 |
|
Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming
|
1 |
2014-04-28 |
275.99kB |
84 | |
0 |
|
Incremental Sigmoid Belief Networks for Grammar Learning
|
1 |
2014-04-28 |
252.38kB |
66 | 1+ |
0 |
|
Incremental Support Vector Learning: Analysis, Implementation and Applications (Special Topic on Machine Learning and Optimization)
|
1 |
2014-04-28 |
259.91kB |
56 | |
0 |
|
Inducing Grammars from Sparse Data Sets: A Survey of Algorithms and Results
|
1 |
2014-04-28 |
249.82kB |
47 | 2+ |
0 |
|
Inducing Tree-Substitution Grammars
|
1 |
2014-04-28 |
1.12MB |
71 | |
0 |
|
Inductive Synthesis of Functional Programs: An Explanation Based Generalization Approach (Special Topic on Inductive Programming)
|
1 |
2014-04-28 |
258.89kB |
68 | |
0 |
|
Infinite- Limits For Tikhonov Regularization
|
1 |
2014-04-28 |
223.74kB |
53 | |
0 |
|
Information Bottleneck for Gaussian Variables
|
1 |
2014-04-28 |
518.38kB |
44 | |
0 |
|
Information Rates of Nonparametric Gaussian Process Methods
|
1 |
2014-04-28 |
198.20kB |
50 | |
0 |
|
Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization
|
1 |
2014-04-28 |
2.91MB |
67 | |
0 |
|
Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance
|
1 |
2014-04-28 |
240.55kB |
60 | |
0 |
|
Information, Divergence and Risk for Binary Experiments
|
1 |
2014-04-28 |
1.51MB |
58 | |
0 |
|
Inner Product Spaces for Bayesian Networks
|
1 |
2014-04-28 |
164.61kB |
51 | |
0 |
|
Integrating a Partial Model into Model Free Reinforcement Learning
|
1 |
2014-04-28 |
328.43kB |
58 | |
0 |
|
Integrating Nave Bayes and FOIL
|
1 |
2014-04-28 |
223.18kB |
51 | |
0 |
|
Introduction to Special Issue on Independent Components Analysis
|
1 |
2014-04-28 |
259.60kB |
70 | |
0 |
|
Introduction to Special Issue on Machine Learning Approaches to Shallow Parsing
|
1 |
2014-04-28 |
392.17kB |
78 | |
0 |
|
Introduction to the Special Issue on Inductive Logic Programming
|
1 |
2014-04-28 |
708.77kB |
70 | |
0 |
|
Introduction to the Special Issue on Kernel Methods (Kernel Machines Section)
|
1 |
2014-04-28 |
81.05kB |
55 | |
0 |
|
Introduction to the Special Issue on Learning Theory
|
1 |
2014-04-28 |
411.96kB |
86 | |
0 |
|
Introduction to the Special Issue on Machine Learning Methods for Text and Images
|
1 |
2014-04-28 |
346.30kB |
86 | |
0 |
|
Introduction to the Special Issue on the Fusion of Domain Knowledge with Data for Decision Support
|
1 |
2014-04-28 |
11.70kB |
67 | |
0 |
|
Introduction to the Special Topic on Grammar Induction, Representation of Language and Language Learning
|
1 |
2014-04-28 |
25.98kB |
1,170 | 52+ |
0 |
|
Inverse Reinforcement Learning in Partially Observable Environments
|
1 |
2014-04-28 |
626.03kB |
64 | |
0 |
|
Iterative Reweighted Algorithms for Matrix Rank Minimization
|
1 |
2014-04-28 |
335.72kB |
69 | |
0 |
|
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models
|
1 |
2014-04-28 |
319.91kB |
52 | |
0 |
|
Java-ML: A Machine Learning Library(Machine Learning Open Source Software Paper)
|
1 |
2014-04-28 |
28.92kB |
935 | 47+ |
0 |
|
JKernelMachines: A Simple Framework for Kernel Machines
|
1 |
2014-04-28 |
69.75kB |
46 | 1+ |
0 |
|
JNCC2: The Java Implementation Of Naive Credal Classifier 2(Machine Learning Open Source Software Paper)
|
1 |
2014-04-28 |
184.93kB |
134 | |
0 |
|
Joint Harmonic Functions and Their Supervised Connections
|
1 |
2014-04-28 |
749.03kB |
56 | |
0 |
|
Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences
|
1 |
2014-04-28 |
184.05kB |
107 | 1+ |
0 |
|
Keep It Simple And Sparse: Real-Time Action Recognition
|
1 |
2014-04-28 |
1.87MB |
76 | 1+ |
0 |
|
Kernel Analysis of Deep Networks
|
1 |
2014-04-28 |
762.62kB |
111 | 2+ |
0 |
|
Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels
|
1 |
2014-04-28 |
329.17kB |
61 | |
0 |
|
Kernel Independent Component Analysis (Kernel Machines Section)
|
1 |
2014-04-28 |
481.88kB |
56 | 2+ |
0 |
|
Kernel Methods for Measuring Independence
|
1 |
2014-04-28 |
478.95kB |
48 | |
0 |
|
Kernel Methods for Relation Extraction
|
1 |
2014-04-28 |
1.70MB |
67 | |
0 |
|
Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space (Kernel Machines Section)
|
1 |
2014-04-28 |
235.16kB |
54 | |
0 |
|
Kernel Regression in the Presence of Correlated Errors
|
1 |
2014-04-28 |
465.08kB |
60 | |
0 |
|
Kernel-Based Learning of Hierarchical Multilabel Classification Models (Special Topic on Machine Learning and Optimization)
|
1 |
2014-04-28 |
193.09kB |
57 | |
0 |
|
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting (Special Topic on Inductive Programming)
|
1 |
2014-04-28 |
552.76kB |
70 | |
0 |
|
Knowledge-Based Kernel Approximation
|
1 |
2014-04-28 |
152.55kB |
84 | 1+ |
0 |
|
Kronecker Graphs: An Approach to Modeling Networks
|
1 |
2014-04-28 |
1.29MB |
60 | |
0 |
|
Lagrangian Support Vector Machines (Kernel Machines Section)
|
1 |
2014-04-28 |
280.39kB |
109 | |
0 |
|
Language-Motivated Approaches to Action Recognition
|
1 |
2014-04-28 |
1.74MB |
131 | 1+ |
0 |
|
Laplacian Support Vector Machines Trained in the Primal
|
1 |
2014-04-28 |
502.28kB |
61 | |
0 |
|
Large Margin Hierarchical Classification with Mutually Exclusive Class Membership
|
1 |
2014-04-28 |
269.39kB |
48 | |
0 |
|
Large Margin Methods for Structured and Interdependent Output Variables
|
1 |
2014-04-28 |
240.67kB |
49 | |
0 |
|
Large Margin Semi-supervised Learning
|
1 |
2014-04-28 |
260.99kB |
48 | |
0 |
|
Large Scale Multiple Kernel Learning (Special Topic on Machine Learning and Optimization)
|
1 |
2014-04-28 |
937.23kB |
59 | |
0 |
|
Large Scale Online Learning of Image Similarity Through Ranking
|
1 |
2014-04-28 |
1.17MB |
56 | |
0 |
|
Large Scale Transductive SVMs
|
1 |
2014-04-28 |
220.63kB |
53 | |
0 |
|
Large-Sample Learning of Bayesian Networks is NP-Hard
|
1 |
2014-04-28 |
342.07kB |
87 | |
0 |
|
Large-scale Linear Support Vector Regression
|
1 |
2014-04-28 |
1.08MB |
58 | |
0 |
|
Large-scale SVD and Manifold Learning
|
1 |
2014-04-28 |
4.35MB |
56 | |
0 |
|
Latent Dirichlet Allocation
|
1 |
2014-04-28 |
388.44kB |
72 | 1+ |
0 |
|
Learnability of Gaussians with Flexible Variances
|
1 |
2014-04-28 |
226.30kB |
50 | |
0 |
|
Learnability, Stability and Uniform Convergence
|
1 |
2014-04-28 |
331.23kB |
72 | |
0 |
|
Learning a Hidden Hypergraph
|
1 |
2014-04-28 |
178.94kB |
61 | |
0 |
|
Learning a Mahalanobis Metric from Equivalence Constraints
|
1 |
2014-04-28 |
868.95kB |
66 | |
0 |
|
Learning a Robust Relevance Model for Search Using Kernel Methods
|
1 |
2014-04-28 |
256.74kB |
62 | |
0 |
|
Learning Acyclic Probabilistic Circuits Using Test Paths
|
1 |
2014-04-28 |
261.89kB |
50 | |
0 |
|
Learning Algorithms for the Classification Restricted Boltzmann Machine
|
1 |
2014-04-28 |
369.76kB |
62 | |
0 |
|
Learning Approximate Sequential Patterns for Classification
|
1 |
2014-04-28 |
199.95kB |
50 | |
0 |
|
Learning Balls of Strings from Edit Corrections
|
1 |
2014-04-28 |
648.89kB |
56 | |
0 |
|
Learning Bilinear Model for Matching Queries and Documents
|
1 |
2014-04-28 |
350.48kB |
51 | 1+ |
0 |
|
Learning Bounded Treewidth Bayesian Networks
|
1 |
2014-04-28 |
3.18MB |
66 | |
0 |
|
Learning Control Knowledge for Forward Search Planning
|
1 |
2014-04-28 |
203.05kB |
62 | 1+ |
0 |
|
Learning Coordinate Covariances via Gradients
|
1 |
2014-04-28 |
385.96kB |
53 | |
0 |
|
Learning Ensembles from Bites: A Scalable and Accurate Approach
|
1 |
2014-04-28 |
452.37kB |
61 | 2+ |
0 |
|
Learning Equivariant Functions with Matrix Valued Kernels
|
1 |
2014-04-28 |
495.75kB |
56 | |
0 |
|
Learning Evaluation Functions to Improve Optimization by Local Search
|
1 |
2014-04-28 |
568.36kB |
98 | |
0 |
|
Learning Factor Graphs in Polynomial Time and Sample Complexity
|
1 |
2014-04-28 |
355.63kB |
60 | |
0 |
|
Learning From Crowds
|
1 |
2014-04-28 |
238.95kB |
120 | |
0 |
|
Learning from Examples as an Inverse Problem
|
1 |
2014-04-28 |
149.25kB |
62 | |
0 |
|
Learning from Multiple Sources
|
1 |
2014-04-28 |
510.00kB |
52 | |
0 |
|
Learning from Partial Labels
|
1 |
2014-04-28 |
1.91MB |
55 | |
0 |
|
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence
|
1 |
2014-04-28 |
1.72MB |
88 | 1+ |
0 |
|
Learning Halfspaces with Malicious Noise
|
1 |
2014-04-28 |
193.75kB |
55 | |
0 |
|
Learning Hidden Variable Networks: The Information Bottleneck Approach
|
1 |
2014-04-28 |
661.62kB |
54 | |
0 |
|
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates
|
1 |
2014-04-28 |
331.37kB |
49 | |
0 |
|
Learning Horn Expressions with LOGAN-H
|
1 |
2014-04-28 |
814.71kB |
51 | |
0 |
|
Learning in Environments with Unknown Dynamics: Towards more Robust Concept Learners
|
1 |
2014-04-28 |
1.11MB |
61 | |
0 |
|
Learning Instance-Specific Predictive Models
|
1 |
2014-04-28 |
474.95kB |
63 | |
0 |
|
Learning Latent Tree Graphical Models
|
1 |
2014-04-28 |
734.64kB |
48 | |
0 |
|
Learning Linear Cyclic Causal Models with Latent Variables
|
1 |
2014-04-28 |
516.05kB |
58 | |
0 |
|
Learning Linear Ranking Functions for Beam Search with Application to Planning
|
1 |
2014-04-28 |
354.72kB |
53 | |
0 |
|
Learning Minimum Volume Sets
|
1 |
2014-04-28 |
917.29kB |
49 | |
0 |
|
Learning Module Networks
|
1 |
2014-04-28 |
406.70kB |
92 | |
0 |
|
Learning Monotone DNF from a Teacher that Almost Does Not Answer Membership Queries
|
1 |
2014-04-28 |
151.73kB |
54 | 2+ |
0 |
|
Learning Multi-modal Similarity
|
1 |
2014-04-28 |
468.43kB |
54 | |
0 |
|
Learning Multiple Tasks with Kernel Methods
|
1 |
2014-04-28 |
164.09kB |
85 | |
0 |
|
Learning Non-Stationary Dynamic Bayesian Networks
|
1 |
2014-04-28 |
1.88MB |
66 | |
0 |
|
Learning Nondeterministic Classifiers
|
1 |
2014-04-28 |
422.56kB |
59 | |
0 |
|
Learning over Sets using Kernel Principal Angles (Kernel Machines Section)
|
1 |
2014-04-28 |
144.51kB |
48 | |
0 |
|
Learning Parts-Based Representations of Data
|
1 |
2014-04-28 |
440.26kB |
68 | |
0 |
|
Learning Permutations with Exponential Weights
|
1 |
2014-04-28 |
246.97kB |
45 | |
0 |
|
Learning Precise Timing with LSTM Recurrent Networks
|
1 |
2014-04-28 |
341.85kB |
81 | |
0 |
|
Learning Probabilistic Models of Link Structure
|
1 |
2014-04-28 |
1.99MB |
71 | |
0 |
|
Learning Probabilistic Models: An Expected Utility Maximization Approach
|
1 |
2014-04-28 |
271.70kB |
182 | 1+ |
0 |
|
Learning Rates for Q-learning
|
1 |
2014-04-28 |
225.65kB |
50 | |
0 |
|
Learning Recursive Control Programs from Problem Solving (Special Topic on Inductive Programming)
|
1 |
2014-04-28 |
192.33kB |
67 | |
0 |
|
Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2
|
1 |
2014-04-28 |
267.56kB |
53 | |
0 |
|
Learning Semantic Lexicons from a Part-of-Speech and Semantically Tagged Corpus Using Inductive Logic Programming
|
1 |
2014-04-28 |
533.07kB |
118 | |
0 |
|
Learning Similarity with Operator-valued Large-margin Classifiers
|
1 |
2014-04-28 |
197.46kB |
50 | |
0 |
|
Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming (Special Topic on Machine Learning and Optimization)
|
1 |
2014-04-28 |
254.49kB |
64 | |
0 |
|
Learning Spectral Clustering, With Application To Speech Separation
|
1 |
2014-04-28 |
660.25kB |
53 | |
0 |
|
Learning Symbolic Representations of Hybrid Dynamical Systems
|
1 |
2014-04-28 |
1.99MB |
72 | |
0 |
|
Learning the Kernel Function via Regularization
|
1 |
2014-04-28 |
221.87kB |
53 | |
0 |
|
Learning the Kernel Matrix with Semidefinite Programming
|
1 |
2014-04-28 |
386.57kB |
90 | 3+ |
0 |
|
Learning the Kernel with Hyperkernels (Kernel Machines Section)
|
1 |
2014-04-28 |
434.77kB |
62 | |
0 |
|
Learning the Structure of Linear Latent Variable Models
|
1 |
2014-04-28 |
451.79kB |
59 | |
0 |
|
Learning Theory Analysis for Association Rules and Sequential Event Prediction
|
1 |
2014-04-28 |
1.99MB |
61 | |
0 |
|
Learning Theory Approach to Minimum Error Entropy Criterion
|
1 |
2014-04-28 |
194.96kB |
76 | 1+ |
0 |
|
Learning to Classify Ordinal Data: The Data Replication Method
|
1 |
2014-04-28 |
448.24kB |
65 | 1+ |
0 |
|
Learning to Combine Motor Primitives Via Greedy Additive Regression
|
1 |
2014-04-28 |
1.88MB |
51 | 1+ |
0 |
|
Learning to Construct Fast Signal Processing Implementations
|
1 |
2014-04-28 |
283.99kB |
63 | |
0 |
|
Learning to Detect and Classify Malicious Executables in the Wild (Special Topic on Machine Learning for Computer Security)
|
1 |
2014-04-28 |
206.73kB |
126 | |
0 |
|
Learning to Select Features using their Properties
|
1 |
2014-04-28 |
137.76kB |
65 | |
0 |
|
Learning Transformation Models for Ranking and Survival Analysis
|
1 |
2014-04-28 |
806.05kB |
53 | |
0 |
|
Learning Translation Invariant Kernels for Classification
|
1 |
2014-04-28 |
398.68kB |
64 | |
0 |
|
Learning When Concepts Abound
|
1 |
2014-04-28 |
351.75kB |
44 | |
0 |
|
Learning with Decision Lists of Data-Dependent Features
|
1 |
2014-04-28 |
196.48kB |
57 | |
0 |
|
Learning with Mixtures of Trees
|
1 |
2014-04-28 |
347.23kB |
48 | |
0 |
|
Learning with Structured Sparsity
|
1 |
2014-04-28 |
518.70kB |
55 | |
0 |
|
Least-Squares Policy Iteration
|
1 |
2014-04-28 |
312.97kB |
65 | |
0 |
|
LIBLINEAR: A Library for Large Linear Classification(Machine Learning Open Source Software Paper)
|
1 |
2014-04-28 |
1.43MB |
80 | |
0 |
|
Limitations of Learning Via Embeddings in Euclidean Half Spaces
|
1 |
2014-04-28 |
283.79kB |
58 | |
0 |
|
Linear Algorithms for Online Multitask Classification
|
1 |
2014-04-28 |
402.57kB |
63 | 1+ |
0 |
|
Linear Fitted-Q Iteration with Multiple Reward Functions
|
1 |
2014-04-28 |
1.30MB |
54 | |
0 |
|
Linear Programming Relaxations and Belief Propagation -- An Empirical Study (Special Topic on Machine Learning and Optimization)
|
1 |
2014-04-28 |
802.84kB |
120 | 1+ |
0 |
|
Linear Programs for Hypotheses Selection in Probabilistic Inference Models (Special Topic on Machine Learning and Optimization)
|
1 |
2014-04-28 |
127.43kB |
66 | 1+ |
0 |
|
Linear Regression With Random Projections
|
1 |
2014-04-28 |
586.31kB |
77 | |
0 |
|
Linear State-Space Models for Blind Source Separation
|
1 |
2014-04-28 |
325.02kB |
52 | |
0 |
|
Linear-Time Computation of Similarity Measures for Sequential Data
|
1 |
2014-04-28 |
533.68kB |
55 | |
0 |
|
Local and Global Scaling Reduce Hubs in Space
|
1 |
2014-04-28 |
388.42kB |
89 | 1+ |
0 |
|
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation
|
1 |
2014-04-28 |
2.43MB |
67 | |
0 |
|
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions
|
1 |
2014-04-28 |
1.94MB |
58 | |
0 |
|
Local Discriminant Wavelet Packet Coordinates for Face Recognition
|
1 |
2014-04-28 |
371.96kB |
67 | |
0 |
|
Locally Defined Principal Curves and Surfaces
|
1 |
2014-04-28 |
2.87MB |
53 | |
0 |
|
Logistic Stick-Breaking Process
|
1 |
2014-04-28 |
2.25MB |
57 | |
0 |
|
Loop Corrections for Approximate Inference on Factor Graphs
|
1 |
2014-04-28 |
781.06kB |
48 | |
0 |
|
Loopy Belief Propagation: Convergence and Effects of Message Errors
|
1 |
2014-04-28 |
354.43kB |
50 | |
0 |
|
Lossless Online Bayesian Bagging
|
1 |
2014-04-28 |
383.90kB |
117 | |
0 |
|
Lovasz theta function, SVMs and Finding Dense Subgraphs
|
1 |
2014-04-28 |
730.31kB |
52 | |
0 |
|
Low-Rank Kernel Learning with Bregman Matrix Divergences
|
1 |
2014-04-28 |
390.24kB |
68 | |
0 |
|
Lower Bounds and Selectivity of Weak-Consistent Policies in Stochastic Multi-Armed Bandit Problem
|
1 |
2014-04-28 |
200.24kB |
48 | 1+ |
0 |
|
Lp-Nested Symmetric Distributions
|
1 |
2014-04-28 |
3.37MB |
59 | |
0 |
|
lp-Norm Multiple Kernel Learning
|
1 |
2014-04-28 |
434.40kB |
54 | |
0 |
|
LPmade: Link Prediction Made Easy
|
1 |
2014-04-28 |
49.33kB |
54 | |
0 |
|
Lyapunov Design for Safe Reinforcement Learning
|
1 |
2014-04-28 |
1.13MB |
87 | |
0 |
|
Machine Learning for Computer Security(Special Topic on Machine Learning for Computer Security)
|
1 |
2014-04-28 |
59.94kB |
1,021 | |
0 |
|
Machine Learning Methods for Predicting Failures in Hard Drives: A Multiple-Instance Application
|
1 |
2014-04-28 |
274.51kB |
66 | |
0 |
|
Machine Learning with Data Dependent Hypothesis Classes
|
1 |
2014-04-28 |
145.27kB |
57 | |
0 |
|
Machine Learning with Operational Costs
|
1 |
2014-04-28 |
824.49kB |
72 | 2+ |
0 |
|
Magic Moments for Structured Output Prediction
|
1 |
2014-04-28 |
264.13kB |
67 | |
0 |
|
MAGIC Summoning: Towards Automatic Suggesting and Testing of Gestures With Low Probability of False Positives During Use
|
1 |
2014-04-28 |
2.04MB |
74 | |
0 |
|
Mal-ID: Automatic Malware Detection Using Common Segment Analysis and Meta-Features
|
1 |
2014-04-28 |
486.14kB |
90 | 2+ |
0 |
|
Managing Diversity in Regression Ensembles
|
1 |
2014-04-28 |
251.19kB |
64 | |
0 |
|
Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning
|
1 |
2014-04-28 |
2.18MB |
57 | |
0 |
|
Manifold Learning: The Price of Normalization
|
1 |
2014-04-28 |
320.12kB |
49 | |
0 |
|
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
|
1 |
2014-04-28 |
416.15kB |
51 | 1+ |
0 |
|
Margin Trees for High-dimensional Classification
|
1 |
2014-04-28 |
102.52kB |
54 | |
0 |
|
Margin-based Ranking and an Equivalence between AdaBoost and RankBoost
|
1 |
2014-04-28 |
420.29kB |
55 | |
0 |
|
Marginal Likelihood Integrals for Mixtures of Independence Models
|
1 |
2014-04-28 |
177.75kB |
48 | 1+ |
0 |
|
Markov Properties for Linear Causal Models with Correlated Errors(Special Topic on Causality)
|
1 |
2014-04-28 |
231.17kB |
53 | |
0 |
|
Matched Gene Selection and Committee Classifier for Molecular Classification of Heterogeneous Diseases
|
1 |
2014-04-28 |
548.81kB |
65 | |
0 |
|
Matching Words and Pictures
|
1 |
2014-04-28 |
241.45kB |
63 | |
0 |
|
Matrix Completion from Noisy Entries
|
1 |
2014-04-28 |
199.96kB |
70 | |
0 |
|
Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection
|
1 |
2014-04-28 |
243.08kB |
50 | |
0 |
|
Max-margin Classification of Data with Absent Features
|
1 |
2014-04-28 |
292.24kB |
57 | |
0 |
|
Maximum Entropy Density Estimation with Generalized Regularization and an Application to Species Distribution Modeling
|
1 |
2014-04-28 |
432.51kB |
52 | |
0 |
|
Maximum Entropy Discrimination Markov Networks
|
1 |
2014-04-28 |
593.20kB |
51 | |
0 |
|
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds
|
1 |
2014-04-28 |
2.01MB |
57 | |
0 |
|
Maximum Margin Algorithms with Boolean Kernels
|
1 |
2014-04-28 |
192.07kB |
55 | |
0 |
|
Maximum Relative Margin and Data-Dependent Regularization
|
1 |
2014-04-28 |
466.22kB |
46 | |
0 |
|
Maximum Volume Clustering: A New Discriminative Clustering Approach
|
1 |
2014-04-28 |
531.38kB |
54 | |
0 |
|
Maximum-Gain Working Set Selection for SVMs (Special Topic on Machine Learning and Optimization)
|
1 |
2014-04-28 |
252.09kB |
50 | |
0 |
|
Mean Field Variational Approximation for Continuous-Time Bayesian Networks
|
1 |
2014-04-28 |
1.12MB |
52 | |
0 |
|
Measuring Differentiability: Unmasking Pseudonymous Authors
|
1 |
2014-04-28 |
179.22kB |
50 | |
0 |
|
MedLDA: Maximum Margin Supervised Topic Models
|
1 |
2014-04-28 |
1.32MB |
59 | 2+ |
0 |
|
Message-Passing Algorithms for Quadratic Minimization
|
1 |
2014-04-28 |
264.04kB |
66 | 1+ |
0 |
|
Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes
|
1 |
2014-04-28 |
300.92kB |
57 | |
0 |
|
Metric and Kernel Learning Using a Linear Transformation
|
1 |
2014-04-28 |
473.91kB |
57 | |
0 |
|
Minimal Kernel Classifiers (Kernel Machines Section)
|
1 |
2014-04-28 |
408.15kB |
75 | |
0 |
|
Minimal Nonlinear Distortion Principle for Nonlinear Independent Component Analysis
|
1 |
2014-04-28 |
2.91MB |
59 | |
0 |
|
Minimax Manifold Estimation
|
1 |
2014-04-28 |
2.33MB |
75 | |
0 |
|
Minimax Regret Classifier for Imprecise Class Distributions
|
1 |
2014-04-28 |
329.71kB |
53 | |
0 |
|
Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming
|
1 |
2014-04-28 |
316.40kB |
92 | |
0 |
|
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning
|
1 |
2014-04-28 |
317.95kB |
51 | |
0 |
|
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals
|
1 |
2014-04-28 |
395.93kB |
84 | |
0 |
|
Mixability is Bayes Risk Curvature Relative to Log Loss
|
1 |
2014-04-28 |
429.80kB |
58 | |
0 |
|
Mixed Membership Stochastic Blockmodels
|
1 |
2014-04-28 |
140.43kB |
60 | |
0 |
|
ML-Flex: A Flexible Toolbox for Performing Classification Analyses In Parallel
|
1 |
2014-04-28 |
37.01kB |
65 | |
0 |
|
MLPACK: A Scalable C++ Machine Learning Library
|
1 |
2014-04-28 |
68.23kB |
170 | 1+ |
0 |
|
MLPs (Mono-Layer Polynomials and Multi-Layer Perceptrons) for Nonlinear Modeling
|
1 |
2014-04-28 |
183.69kB |
62 | 2+ |
0 |
|
MOA: Massive Online Analysis
|
1 |
2014-04-28 |
82.21kB |
62 | |
0 |
|
Model Averaging for Prediction with Discrete Bayesian Networks
|
1 |
2014-04-28 |
251.42kB |
271 | |
0 |
|
Model Monitor (M2): Evaluating, Comparing, and Monitoring Models(Machine Learning Open Source Software Paper)
|
1 |
2014-04-28 |
169.71kB |
62 | |
0 |
|
Model Selection in Kernel Based Regression using the Influence Function(Special Topic on Model Selection)
|
1 |
2014-04-28 |
264.41kB |
56 | |
0 |
|
Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data
|
1 |
2014-04-28 |
284.29kB |
50 | 1+ |
0 |
|
Model Selection: Beyond the BayesianFrequentist Divide
|
1 |
2014-04-28 |
222.72kB |
47 | |
0 |
|
Model-based Boosting 2.0
|
1 |
2014-04-28 |
103.27kB |
68 | |
0 |
|
Models of Cooperative Teaching and Learning
|
1 |
2014-04-28 |
278.16kB |
92 | |
0 |
|
MSVMpack: A Multi-Class Support Vector Machine Package
|
1 |
2014-04-28 |
46.01kB |
52 | |
0 |
|
MULAN: A Java Library for Multi-Label Learning
|
1 |
2014-04-28 |
29.58kB |
118 | 3+ |
0 |
|
Multi Kernel Learning with Online-Batch Optimization
|
1 |
2014-04-28 |
351.51kB |
53 | |
0 |
|
Multi-Agent Reinforcement Learning in Common Interest and Fixed Sum Stochastic Games: An Experimental Study
|
1 |
2014-04-28 |
31.04kB |
73 | |
0 |
|
Multi-Assignment Clustering for Boolean Data
|
1 |
2014-04-28 |
604.58kB |
68 | |
0 |
|
Multi-class Discriminant Kernel Learning via Convex Programming(Special Topic on Model Selection)
|
1 |
2014-04-28 |
269.35kB |
63 | |
0 |
|
Multi-class Protein Classification Using Adaptive Codes
|
1 |
2014-04-28 |
316.49kB |
55 | |
0 |
|
Multi-Instance Learning with Any Hypothesis Class
|
1 |
2014-04-28 |
328.57kB |
55 | 2+ |
0 |
|
Multi-Stage Multi-Task Feature Learning
|
1 |
2014-04-28 |
304.00kB |
61 | 1+ |
0 |
|
Multi-Target Regression with Rule Ensembles
|
1 |
2014-04-28 |
328.30kB |
55 | |
0 |
|
Multi-Task Learning for Classification with Dirichlet Process Priors
|
1 |
2014-04-28 |
250.97kB |
48 | |
0 |
|
Multi-task Regression using Minimal Penalties
|
1 |
2014-04-28 |
293.14kB |
52 | 2+ |
0 |
|
Multi-task Reinforcement Learning in Partially Observable Stochastic Environments
|
1 |
2014-04-28 |
670.45kB |
55 | |
0 |
|
MULTIBOOST: A Multi-purpose Boosting Package
|
1 |
2014-04-28 |
40.06kB |
60 | 1+ |
0 |
|
Multicategory Large-Margin Unified Machines
|
1 |
2014-04-28 |
612.67kB |
55 | |
0 |
|
Multiclass Boosting for Weak Classifiers
|
1 |
2014-04-28 |
194.47kB |
45 | |
0 |
|
Multiclass Classification with Multi-Prototype Support Vector Machines
|
1 |
2014-04-28 |
375.44kB |
42 | |
0 |
|
Multiple Kernel Learning Algorithms
|
1 |
2014-04-28 |
395.81kB |
49 | |
0 |
|
Multiple-Instance Learning of Real-Valued Data
|
1 |
2014-04-28 |
7.10kB |
961 | 41+ |
1 |
|
Multivariate Convex Regression with Adaptive Partitioning
|
1 |
2014-04-28 |
1.73MB |
66 | |
0 |
|
Nash Q-Learning for General-Sum Stochastic Games
|
1 |
2014-04-28 |
780.70kB |
68 | |
0 |
|
Natural Language Processing (Almost) from Scratch
|
1 |
2014-04-28 |
424.78kB |
278 | |
0 |
|
Near-optimal Regret Bounds for Reinforcement Learning
|
1 |
2014-04-28 |
358.46kB |
51 | |
0 |
|
Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies
|
1 |
2014-04-28 |
43.19kB |
90 | 1+ |
0 |
|
Nearest Neighbor Clustering: A Baseline Method for Consistent Clustering with Arbitrary Objective Functions
|
1 |
2014-04-28 |
303.53kB |
53 | |
0 |
|
Nearly Uniform Validation Improves Compression-Based Error Bounds
|
1 |
2014-04-28 |
194.19kB |
47 | |
0 |
|
Nested Expectation Propagation for Gaussian Process Classification with a Multinomial Probit Likelihood
|
1 |
2014-04-28 |
1.20MB |
57 | |
0 |
|
NEUROSVM: An Architecture to Reduce the Effect of the Choice of Kernel on the Performance of SVM
|
1 |
2014-04-28 |
452.73kB |
49 | |
0 |
|
New Algorithms for Efficient High-Dimensional Nonparametric Classification
|
1 |
2014-04-28 |
183.68kB |
63 | |
0 |
|
New Horn Revision Algorithms
|
1 |
2014-04-28 |
149.38kB |
49 | |
0 |
|
New Techniques for Disambiguation in Natural Language and Their Application to Biological Text
|
1 |
2014-04-28 |
274.56kB |
92 | |
0 |
|
Neyman-Pearson Classification, Convexity and Stochastic Constraints
|
1 |
2014-04-28 |
187.16kB |
55 | |
0 |
|
NIMFA : A Python Library for Nonnegative Matrix Factorization
|
1 |
2014-04-28 |
35.81kB |
131 | 2+ |
0 |
|
No Unbiased Estimator of the Variance of K-Fold Cross-Validation
|
1 |
2014-04-28 |
214.69kB |
68 | 1+ |
0 |
|
Noise Tolerant Variants of the Perceptron Algorithm
|
1 |
2014-04-28 |
318.94kB |
83 | |
0 |
|
Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics
|
1 |
2014-04-28 |
2.44MB |
56 | |
0 |
|
Noisy-OR Component Analysis and its Application to Link Analysis
|
1 |
2014-04-28 |
529.55kB |
52 | |
0 |
|
Non-Parametric Estimation of Topic Hierarchies from Texts with Hierarchical Dirichlet Processes
|
1 |
2014-04-28 |
524.92kB |
49 | |
0 |
|
Non-Parametric Modeling of Partially Ranked Data
|
1 |
2014-04-28 |
390.11kB |
53 | |
0 |
|
Non-Sparse Multiple Kernel Fisher Discriminant Analysis
|
1 |
2014-04-28 |
555.62kB |
54 | |
0 |
|
Nonextensive Information Theoretic Kernels on Measures
|
1 |
2014-04-28 |
377.54kB |
55 | |
0 |
|
Nonlinear Boosting Projections for Ensemble Construction
|
1 |
2014-04-28 |
10.52MB |
69 | |
0 |
|
Nonlinear Estimators and Tail Bounds for Dimension Reduction in l1 Using Cauchy Random Projections
|
1 |
2014-04-28 |
337.83kB |
52 | |
0 |
|
Nonlinear Models Using Dirichlet Process Mixtures
|
1 |
2014-04-28 |
231.28kB |
59 | |
0 |
|
Nonparametric Guidance of Autoencoder Representations using Label Information
|
1 |
2014-04-28 |
816.49kB |
57 | 2+ |
0 |
|
Nonparametric Quantile Estimation
|
1 |
2014-04-28 |
904.72kB |
55 | |
0 |
|
Nonparametric Sparsity and Regularization
|
1 |
2014-04-28 |
612.85kB |
62 | 1+ |
0 |
|
Oger: Modular Learning Architectures For Large-Scale Sequential Processing
|
1 |
2014-04-28 |
114.32kB |
53 | |
0 |
|
On Boosting with Polynomially Bounded Distributions
|
1 |
2014-04-28 |
285.32kB |
51 | 1+ |
0 |
|
On Efficient Large Margin Semisupervised Learning: Method and Theory
|
1 |
2014-04-28 |
630.90kB |
49 | |
0 |
|
On Equivalence Relationships Between Classification and Ranking Algorithms
|
1 |
2014-04-28 |
376.99kB |
54 | |
0 |
|
On Inclusion-Driven Learning of Bayesian Networks
|
1 |
2014-04-28 |
245.65kB |
46 | 2+ |
0 |
|
On Inferring Application Protocol Behaviors in Encrypted Network Traffic (Special Topic on Machine Learning for Computer Security)
|
1 |
2014-04-28 |
275.12kB |
103 | |
0 |
|
On Learning with Integral Operators
|
1 |
2014-04-28 |
229.28kB |
68 | |
0 |
|
On Model Selection Consistency of Lasso
|
1 |
2014-04-28 |
172.94kB |
47 | 1+ |
0 |
|
On Nearest-Neighbor Error-Correcting Output Codes with Application to All-Pairs Multiclass Support Vector Machines
|
1 |
2014-04-28 |
161.92kB |
59 | 1+ |
0 |
|
On Online Learning of Decision Lists
|
1 |
2014-04-28 |
523.75kB |
54 | |
0 |
|
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
|
1 |
2014-04-28 |
759.29kB |
77 | |
0 |
|
On Relevant Dimensions in Kernel Feature Spaces
|
1 |
2014-04-28 |
102.56kB |
48 | |
0 |
|
On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition
|
1 |
2014-04-28 |
488.22kB |
51 | |
0 |
|
On Spectral Learning
|
1 |
2014-04-28 |
152.33kB |
51 | |
0 |
|
On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines (Kernel Machines Section)
|
1 |
2014-04-28 |
494.39kB |
31 | |
0 |
|
On the Complexity of Learning Lexicographic Strategies
|
1 |
2014-04-28 |
203.25kB |
47 | |
0 |
|
On the Consistency of Multiclass Classification Methods (Special Topic on the Conference on Learning Theory 2005)
|
1 |
2014-04-28 |
174.76kB |
58 | |
0 |
|
On the Convergence of Maximum Variance Unfolding
|
1 |
2014-04-28 |
219.46kB |
50 | |
0 |
|
On the Convergence Rate of lp-Norm Multiple Kernel Learning
|
1 |
2014-04-28 |
417.13kB |
63 | 2+ |
0 |
|
On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning
|
1 |
2014-04-28 |
287.25kB |
45 | 1+ |
0 |
|
On the Equivalence of Linear Dimensionality-Reducing Transformations
|
1 |
2014-04-28 |
336.14kB |
56 | |
0 |
|
On the Foundations of Noise-free Selective Classification
|
1 |
2014-04-28 |
552.99kB |
56 | |
0 |
|
On the Importance of Small Coordinate Projections
|
1 |
2014-04-28 |
215.55kB |
54 | |
0 |
|
On the Learnability of Shuffle Ideals
|
1 |
2014-04-28 |
181.53kB |
51 | 1+ |
0 |
|
On the Mutual Nearest Neighbors Estimate in Regression
|
1 |
2014-04-28 |
142.78kB |
44 | 1+ |
0 |
|
On the Necessity of Irrelevant Variables
|
1 |
2014-04-28 |
299.76kB |
66 | 1+ |
0 |
|
On the Nystrm Method for Approximating a Gram Matrix for Improved Kernel-Based Learning
|
1 |
2014-04-28 |
174.96kB |
47 | |
0 |
|
On the Proper Learning of Axis-Parallel Concepts
|
1 |
2014-04-28 |
190.23kB |
50 | 2+ |
0 |
|
On the Rate of Convergence of Regularized Boosting Classifiers
|
1 |
2014-04-28 |
198.89kB |
57 | |
0 |
|
On the Rate of Convergence of the Bagged Nearest Neighbor Estimate
|
1 |
2014-04-28 |
193.66kB |
54 | |
0 |
|
On the Representer Theorem and Equivalent Degrees of Freedom of SVR
|
1 |
2014-04-28 |
463.09kB |
49 | |
0 |
|
On the Size and Recovery of Submatrices of Ones in a Random Binary Matrix
|
1 |
2014-04-28 |
856.27kB |
50 | |
0 |
|
On the Suitable Domain for SVM Training in Image Coding
|
1 |
2014-04-28 |
521.36kB |
64 | |
0 |
|
On Using Extended Statistical Queries to Avoid Membership Queries
|
1 |
2014-04-28 |
1.48MB |
47 | 1+ |
0 |
|
On-Line Sequential Bin Packing
|
1 |
2014-04-28 |
166.10kB |
59 | |
0 |
|
One-Class Novelty Detection for Seizure Analysis from Intracranial EEG
|
1 |
2014-04-28 |
276.87kB |
58 | |
0 |
|
One-Class SVMs for Document Classification (Kernel Machines Section)
|
1 |
2014-04-28 |
326.60kB |
43 | |
0 |
|
One-shot Learning Gesture Recognition from RGB-D Data Using Bag of Features
|
1 |
2014-04-28 |
2.95MB |
66 | |
0 |
|
Online Choice of Active Learning Algorithms
|
1 |
2014-04-28 |
518.47kB |
101 | |
0 |
|
Online Learning for Matrix Factorization and Sparse Coding
|
1 |
2014-04-28 |
4.17MB |
5,203 | |
0 |
|
Online Learning in the Embedded Manifold of Low-rank Matrices
|
1 |
2014-04-28 |
337.10kB |
64 | |
0 |
|
Online Learning of Complex Prediction Problems Using Simultaneous Projections
|
1 |
2014-04-28 |
490.02kB |
62 | |
0 |
|
Online Learning of Multiple Tasks with a Shared Loss
|
1 |
2014-04-28 |
259.62kB |
54 | |
0 |
|
Online Learning with Sample Path Constraints
|
1 |
2014-04-28 |
192.14kB |
59 | 1+ |
0 |
|
Online Learning with Samples Drawn from Non-identical Distributions
|
1 |
2014-04-28 |
210.13kB |
41 | |
0 |
|
Online Passive-Aggressive Algorithms
|
1 |
2014-04-28 |
372.77kB |
62 | |
0 |
|
Online Submodular Minimization
|
1 |
2014-04-28 |
140.14kB |
51 | |
0 |
|
Operator Norm Convergence of Spectral Clustering on Level Sets
|
1 |
2014-04-28 |
247.31kB |
51 | |
0 |
|
Optimal Discovery with Probabilistic Expert Advice: Finite Time Analysis and Macroscopic Optimality
|
1 |
2014-04-28 |
327.20kB |
53 | |
0 |
|
Optimal Distributed Online Prediction Using Mini-Batches
|
1 |
2014-04-28 |
334.87kB |
57 | |
0 |
|
Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure
|
1 |
2014-04-28 |
295.45kB |
63 | |
0 |
|
Optimal Solutions for Sparse Principal Component Analysis
|
1 |
2014-04-28 |
308.86kB |
53 | |
0 |
|
Optimally Fuzzy Temporal Memory
|
1 |
2014-04-28 |
674.31kB |
79 | 1+ |
0 |
|
Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis
|
1 |
2014-04-28 |
487.93kB |
46 | |
0 |
|
Optimistic Bayesian Sampling in Contextual-Bandit Problems
|
1 |
2014-04-28 |
9.99MB |
82 | 2+ |
0 |
|
Optimization Techniques for Semi-Supervised Support Vector Machines
|
1 |
2014-04-28 |
48.17kB |
59 | |
0 |
|
Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization
|
1 |
2014-04-28 |
1.62MB |
90 | |
0 |
|
Orange: Data Mining Toolbox in Python
|
1 |
2014-04-28 |
63.40kB |
293 | 1+ |
0 |
|
Overlearning in Marginal Distribution-Based ICA: Analysis and Solutions
|
1 |
2014-04-28 |
2.09MB |
55 | 2+ |
0 |
|
PAC-Bayes Bounds with Data Dependent Priors
|
1 |
2014-04-28 |
325.02kB |
61 | |
0 |
|
PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers
|
1 |
2014-04-28 |
225.56kB |
49 | |
0 |
|
PAC-Bayesian Analysis of Co-clustering and Beyond
|
1 |
2014-04-28 |
614.96kB |
63 | |
0 |
|
PAC-learnability of Probabilistic Deterministic Finite State Automata
|
1 |
2014-04-28 |
238.05kB |
57 | 1+ |
0 |
|
Pairwise Likelihood Ratios for Estimation of Non-Gaussian Structural Equation Models
|
1 |
2014-04-28 |
1.16MB |
60 | |
0 |
|
Pairwise Support Vector Machines and their Application to Large Scale Problems
|
1 |
2014-04-28 |
262.89kB |
75 | |
0 |
|
Parallel Algorithm for Learning Optimal Bayesian Network Structure
|
1 |
2014-04-28 |
394.24kB |
91 | |
0 |
|
Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems (Special Topic on Machine Learning and Optimization)
|
1 |
2014-04-28 |
200.30kB |
173 | |
0 |
|
Parallel Vector Field Embedding
|
1 |
2014-04-28 |
4.10MB |
57 | |
0 |
|
Parameter Screening and Optimisation for ILP using Designed Experiments
|
1 |
2014-04-28 |
281.42kB |
55 | |
0 |
|
Particle Swarm Model Selection(Special Topic on Model Selection)
|
1 |
2014-04-28 |
563.42kB |
56 | |
0 |
|
Path Kernels and Multiplicative Updates
|
1 |
2014-04-28 |
131.87kB |
42 | |
0 |
|
Pattern for Python
|
1 |
2014-04-28 |
94.19kB |
705 | |
0 |
|
PC Algorithm for Nonparanormal Graphical Models
|
1 |
2014-04-28 |
177.77kB |
140 | 1+ |
0 |
|
Penalized Model-Based Clustering with Application to Variable Selection
|
1 |
2014-04-28 |
127.93kB |
54 | |
0 |
|
Permutation Tests for Studying Classifier Performance
|
1 |
2014-04-28 |
295.57kB |
54 | |
0 |
|
Perturbation Corrections in Approximate Inference: Mixture Modelling Applications
|
1 |
2014-04-28 |
863.46kB |
48 | |
0 |
|
Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models
|
1 |
2014-04-28 |
564.84kB |
50 | 1+ |
0 |
|
Point-Based Value Iteration for Continuous POMDPs
|
1 |
2014-04-28 |
527.86kB |
45 | |
0 |
|
Policy Search using Paired Comparisons
|
1 |
2014-04-28 |
178.54kB |
53 | |
0 |
|
Polynomial Identification in the Limit of Substitutable Context-free Languages
|
1 |
2014-04-28 |
150.26kB |
46 | |
0 |
|
Polynomial-Delay Enumeration of Monotonic Graph Classes
|
1 |
2014-04-28 |
204.99kB |
54 | |
0 |
|
Positive Semidefinite Metric Learning Using Boosting-like Algorithms
|
1 |
2014-04-28 |
520.97kB |
55 | 1+ |
0 |
|
Posterior Regularization for Structured Latent Variable Models
|
1 |
2014-04-28 |
1.18MB |
52 | |
0 |
|
Posterior Sparsity in Unsupervised Dependency Parsing
|
1 |
2014-04-28 |
383.82kB |
51 | |
0 |
|
Practical Approaches to Principal Component Analysis in the Presence of Missing Values
|
1 |
2014-04-28 |
616.99kB |
61 | |
0 |
|
PREA: Personalized Recommendation Algorithms Toolkit
|
1 |
2014-04-28 |
290.79kB |
148 | 2+ |
1 |
|
Prediction With Expert Advice For The Brier Game
|
1 |
2014-04-28 |
1.34MB |
57 | |
0 |
|
Preference Elicitation and Query Learning (Special Topic on Learning Theory)
|
1 |
2014-04-28 |
208.64kB |
67 | |
0 |
|
Preference Elicitation via Theory Refinement
|
1 |
2014-04-28 |
164.76kB |
52 | |
0 |
|
Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters (Special Topic on Model Selection)
|
1 |
2014-04-28 |
153.71kB |
55 | |
0 |
|
Prior Knowledge and Preferential Structures in Gradient Descent Learning Algorithms
|
1 |
2014-04-28 |
486.62kB |
73 | |
0 |
|
Prioritization Methods for Accelerating MDP Solvers
|
1 |
2014-04-28 |
542.57kB |
54 | |
0 |
|
Probabilistic Characterization of Random Decision Trees
|
1 |
2014-04-28 |
231.52kB |
56 | |
0 |
|
Probability Estimates for Multi-class Classification by Pairwise Coupling
|
1 |
2014-04-28 |
501.96kB |
57 | |
0 |
|
Probability Product Kernels (Special Topic on Learning Theory)
|
1 |
2014-04-28 |
742.63kB |
80 | |
0 |
|
Producing Power-Law Distributions and Damping Word Frequencies with Two-Stage Language Models
|
1 |
2014-04-28 |
560.66kB |
54 | |
0 |
|
Properties of Monotonic Effects on Directed Acyclic Graphs
|
1 |
2014-04-28 |
181.59kB |
48 | |
0 |
|
Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes
|
1 |
2014-04-28 |
1.34MB |
54 | |
0 |
|
Provably Efficient Learning with Typed Parametric Models
|
1 |
2014-04-28 |
2.49MB |
50 | |
0 |
|
Proximal Methods for Hierarchical Sparse Coding
|
1 |
2014-04-28 |
611.35kB |
47 | |
0 |
|
PyBrain
|
1 |
2014-04-28 |
71.14kB |
90 | |
0 |
|
Python Environment for Bayesian Learning: Inferring the Structure of Bayesian Networks from Knowledge and Data(Machine Learning Open Source Software Paper)
|
1 |
2014-04-28 |
37.22kB |
325 | |
0 |
|
QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines
|
1 |
2014-04-28 |
322.12kB |
55 | |
0 |
|
Quadratic Programming Feature Selection
|
1 |
2014-04-28 |
358.44kB |
110 | 2+ |
0 |
|
QuantMiner for Mining Quantitative Association Rules
|
1 |
2014-04-28 |
319.05kB |
74 | |
0 |
|
Quantum Set Intersection and its Application to Associative Memory
|
1 |
2014-04-28 |
404.25kB |
389 | 2+ |
0 |
|
Quasi-Newton Method: A New Direction
|
1 |
2014-04-28 |
297.81kB |
70 | |
0 |
|
Query Induction with Schema-Guided Pruning Strategies
|
1 |
2014-04-28 |
424.42kB |
60 | 1+ |
0 |
|
Query Strategies for Evading Convex-Inducing Classifiers
|
1 |
2014-04-28 |
374.14kB |
52 | |
0 |
|
Query Transformations for Improving the Efficiency of ILP Systems
|
1 |
2014-04-28 |
337.20kB |
52 | |
0 |
|
R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
|
1 |
2014-04-28 |
101.23kB |
95 | |
0 |
|
Rademacher and Gaussian Complexities: Risk Bounds and Structural Results
|
1 |
2014-04-28 |
309.45kB |
52 | |
0 |
|
Random Search for Hyper-Parameter Optimization
|
1 |
2014-04-28 |
728.27kB |
64 | |
0 |
|
Random Spanning Trees and the Prediction of Weighted Graphs
|
1 |
2014-04-28 |
369.54kB |
74 | 1+ |
0 |
|
Random Walk Kernels and Learning Curves for Gaussian Process Regression on Random Graphs
|
1 |
2014-04-28 |
517.11kB |
55 | 1+ |
0 |
|
Randomized Online PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension
|
1 |
2014-04-28 |
306.69kB |
67 | |
0 |
|
Randomized Variable Elimination
|
1 |
2014-04-28 |
386.37kB |
54 | 2+ |
0 |
|
Ranked Bandits in Metric Spaces: Learning Diverse Rankings over Large Document Collections
|
1 |
2014-04-28 |
325.55kB |
53 | |
0 |
|
Ranking a Random Feature for Variable and Feature Selection
|
1 |
2014-04-28 |
142.45kB |
62 | 2+ |
0 |
|
Ranking Categorical Features Using Generalization Properties
|
1 |
2014-04-28 |
449.95kB |
54 | |
0 |
|
Ranking Forests
|
1 |
2014-04-28 |
1.01MB |
51 | |
0 |
|
Ranking Individuals by Group Comparisons
|
1 |
2014-04-28 |
158.95kB |
56 | 3+ |
0 |
|
Ranking the Best Instances
|
1 |
2014-04-28 |
245.84kB |
51 | |
0 |
|
Rate Minimaxity of the Lasso and Dantzig Selector for the lq Loss in lr Balls
|
1 |
2014-04-28 |
201.79kB |
51 | |
0 |
|
Rational Kernels: Theory and Algorithms (Special Topic on Learning Theory)
|
1 |
2014-04-28 |
322.05kB |
75 | |
0 |
|
RCV1: A New Benchmark Collection for Text Categorization Research
|
1 |
2014-04-28 |
394.83kB |
63 | |
0 |
|
Rearrangement Clustering: Pitfalls, Remedies, and Applications
|
1 |
2014-04-28 |
866.52kB |
51 | |
0 |
|
Recommender Systems Using Linear Classifiers
|
1 |
2014-04-28 |
248.12kB |
112 | |
0 |
|
Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers
|
1 |
2014-04-28 |
277.92kB |
62 | |
0 |
|
Refinable Kernels
|
1 |
2014-04-28 |
261.78kB |
50 | 1+ |
0 |
|
Refinement of Operator-valued Reproducing Kernels
|
1 |
2014-04-28 |
458.86kB |
54 | |
0 |
|
Refinement of Reproducing Kernels
|
1 |
2014-04-28 |
239.00kB |
52 | |
0 |
|
Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach
|
1 |
2014-04-28 |
340.67kB |
48 | |
0 |
|
Regret Bounds and Minimax Policies under Partial Monitoring
|
1 |
2014-04-28 |
386.70kB |
54 | |
0 |
|
Regularization Techniques for Learning with Matrices
|
1 |
2014-04-28 |
242.01kB |
51 | |
0 |
|
Regularization-Free Principal Curve Estimation
|
1 |
2014-04-28 |
1.30MB |
48 | |
0 |
|
Regularized Bundle Methods for Convex and Non-Convex Risks
|
1 |
2014-04-28 |
576.41kB |
52 | |
0 |
|
Regularized Discriminant Analysis, Ridge Regression and Beyond
|
1 |
2014-04-28 |
332.20kB |
66 | |
0 |
|
Regularized Principal Manifolds (Kernel Machines Section)
|
1 |
2014-04-28 |
728.96kB |
54 | |
0 |
|
Reinforcement Learning in Finite MDPs: PAC Analysis
|
1 |
2014-04-28 |
272.55kB |
58 | 1+ |
0 |
|
Reinforcement Learning with Factored States and Actions
|
1 |
2014-04-28 |
210.67kB |
65 | |
0 |
|
Rejoinder to Reponses to Evidence Contrary to the Statistical View of Boosting
|
1 |
2014-04-28 |
362.15kB |
47 | |
0 |
|
Relational Dependency Networks
|
1 |
2014-04-28 |
2.92MB |
55 | 1+ |
0 |
|
Relational Learning as Search in a Critical Region
|
1 |
2014-04-28 |
100.20kB |
56 | |
0 |
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Reproducing Kernel Banach Spaces for Machine Learning
|
1 |
2014-04-28 |
245.38kB |
48 | |
0 |
|
Restricted Eigenvalue Properties for Correlated Gaussian Designs
|
1 |
2014-04-28 |
153.45kB |
58 | |
0 |
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Restricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise
|
1 |
2014-04-28 |
280.20kB |
57 | |
0 |
|
Revised Loss Bounds for the Set Covering Machine and Sample-Compression Loss Bounds for Imbalanced Data
|
1 |
2014-04-28 |
332.07kB |
47 | |
0 |
|
Risk Bounds of Learning Processes for Lvy Processes
|
1 |
2014-04-28 |
273.29kB |
57 | |
0 |
|
RL-Glue: Language-Independent Software for Reinforcement-Learning Experiments(Machine Learning Open Source Software Paper)
|
1 |
2014-04-28 |
50.88kB |
51 | |
0 |
|
Robust Approximate Bilinear Programming for Value Function Approximation
|
1 |
2014-04-28 |
262.34kB |
61 | |
0 |
|
Robust Gaussian Process Regression with a Student-t Likelihood
|
1 |
2014-04-28 |
759.22kB |
53 | |
0 |
|
Robust Kernel Density Estimation
|
1 |
2014-04-28 |
457.80kB |
56 | |
0 |
|
Robust Principal Component Analysis with Adaptive Selection for Tuning Parameters
|
1 |
2014-04-28 |
3.30MB |
57 | 2+ |
0 |
|
Robust Process Discovery with Artificial Negative Events(Special Topic on Mining and Learning with Graphs and Relations)
|
1 |
2014-04-28 |
499.13kB |
74 | |
0 |
|
Robust Submodular Observation Selection
|
1 |
2014-04-28 |
25.34MB |
75 | |
1 |
|
Robustness and Regularization of Support Vector Machines
|
1 |
2014-04-28 |
189.27kB |
65 | 1+ |
0 |
|
Sally: A Tool for Embedding Strings in Vector Spaces
|
1 |
2014-04-28 |
413.35kB |
63 | 1+ |
0 |
|
Sampling Methods for the Nystrm Method
|
1 |
2014-04-28 |
210.92kB |
49 | 2+ |
0 |
|
Scalable Collaborative Filtering Approaches for Large Recommender Systems(Special Topic on Mining and Learning with Graphs and Relations)
|
1 |
2014-04-28 |
335.41kB |
93 | |
0 |
|
Scikit-learn: Machine Learning in Python
|
1 |
2014-04-28 |
42.31kB |
3,712 | 6+ |
0 |
|
Search for Additive Nonlinear Time Series Causal Models
|
1 |
2014-04-28 |
784.42kB |
57 | |
0 |
|
Second Order Cone Programming Approaches for Handling Missing and Uncertain Data (Special Topic on Machine Learning and Optimization)
|
1 |
2014-04-28 |
429.29kB |
63 | |
0 |
|
Second-Order Bilinear Discriminant Analysis
|
1 |
2014-04-28 |
1.12MB |
52 | |
0 |
|
Security Analysis of Online Centroid Anomaly Detection
|
1 |
2014-04-28 |
912.39kB |
145 | |
0 |
|
Segmental Hidden Markov Models with Random Effects for Waveform Modeling
|
1 |
2014-04-28 |
529.59kB |
58 | |
0 |
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Segregating Event Streams and Noise with a Markov Renewal Process Model
|
1 |
2014-04-28 |
744.31kB |
64 | 1+ |
0 |
|
Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees
|
1 |
2014-04-28 |
129.91kB |
52 | |
0 |
|
Selective Sampling and Active Learning from Single and Multiple Teachers
|
1 |
2014-04-28 |
364.20kB |
61 | |
0 |
|
Semi-Supervised Learning Using Greedy Max-Cut
|
1 |
2014-04-28 |
1.49MB |
57 | 4+ |
0 |
|
Semi-Supervised Learning with Measure Propagation
|
1 |
2014-04-28 |
971.52kB |
50 | |
0 |
|
Semi-Supervised Novelty Detection
|
1 |
2014-04-28 |
291.50kB |
51 | |
0 |
|
Semigroup Kernels on Measures
|
1 |
2014-04-28 |
379.05kB |
48 | 1+ |
0 |
|
Separating Models of Learning from Correlated and Uncorrelated Data (Special Topic on the Conference on Learning Theory 2005)
|
1 |
2014-04-28 |
132.70kB |
56 | |
0 |
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Settable Systems: An Extension of Pearl's Causal Model with Optimization, Equilibrium, and Learning
|
1 |
2014-04-28 |
377.57kB |
50 | |
0 |
|
SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent
|
1 |
2014-04-28 |
151.45kB |
43 | |
0 |
|
Shallow Parsing using Specialized HMMs
|
1 |
2014-04-28 |
308.35kB |
53 | |
0 |
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Shark(Machine Learning Open Source Software Paper)
|
1 |
2014-04-28 |
503.86kB |
192 | 1+ |
0 |
|
Sign Language Recognition using Sub-Units
|
1 |
2014-04-28 |
2.39MB |
68 | |
0 |
|
Similarity-based Classification: Concepts and Algorithms
|
1 |
2014-04-28 |
8.74MB |
106 | |
0 |
|
Similarity-based Clustering by Left-Stochastic Matrix Factorization
|
1 |
2014-04-28 |
317.14kB |
53 | |
0 |
|
SimpleMKL
|
1 |
2014-04-28 |
843.95kB |
50 | |
0 |
|
Smooth -Insensitive Regression by Loss Symmetrization
|
1 |
2014-04-28 |
416.45kB |
49 | |
0 |
|
Smoothing Multivariate Performance Measures
|
1 |
2014-04-28 |
858.61kB |
48 | |
0 |
|
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
|
1 |
2014-04-28 |
231.51kB |
184 | 1+ |
0 |
|
Some Properties of Regularized Kernel Methods
|
1 |
2014-04-28 |
215.97kB |
51 | |
0 |
|
Some Theory for Generalized Boosting Algorithms
|
1 |
2014-04-28 |
205.60kB |
60 | |
0 |
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Sources of Success for Boosted Wrapper Induction
|
1 |
2014-04-28 |
166.05kB |
51 | 2+ |
0 |
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Spam Filtering Based On The Analysis Of Text Information Embedded Into Images (Special Topic on Machine Learning for Computer Security)
|
1 |
2014-04-28 |
482.18kB |
98 | |
0 |
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Spam Filtering Using Statistical Data Compression Models (Special Topic on Machine Learning for Computer Security)
|
1 |
2014-04-28 |
336.31kB |
93 | 3+ |
0 |
|
Sparse Activity and Sparse Connectivity in Supervised Learning
|
1 |
2014-04-28 |
526.25kB |
51 | |
0 |
|
Sparse Boosting
|
1 |
2014-04-28 |
242.10kB |
47 | |
0 |
|
Sparse Linear Identifiable Multivariate Modeling
|
1 |
2014-04-28 |
533.99kB |
58 | |
0 |
|
Sparse Matrix Inversion with Scaled Lasso
|
1 |
2014-04-28 |
313.35kB |
45 | 1+ |
0 |
|
Sparse Online Learning via Truncated Gradient
|
1 |
2014-04-28 |
287.28kB |
49 | 1+ |
0 |
|
Sparse Semi-supervised Learning Using Conjugate Functions
|
1 |
2014-04-28 |
331.42kB |
54 | |
0 |
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Sparse Single-Index Model
|
1 |
2014-04-28 |
321.56kB |
58 | |
0 |
|
Sparse Spectrum Gaussian Process Regression
|
1 |
2014-04-28 |
178.39kB |
58 | |
0 |
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Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results
|
1 |
2014-04-28 |
146.64kB |
51 | |
0 |
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SparseRobust Estimation and Kalman Smoothing with Nonsmooth Log-Concave Densities: Modeling, Computation, and Theory
|
1 |
2014-04-28 |
507.88kB |
55 | |
0 |
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Special Issue on the Eighteenth International Conference on Machine Learning (ICML2001)
|
1 |
2014-04-28 |
443.41kB |
66 | 2+ |
0 |
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Spectral Regularization Algorithms for Learning Large Incomplete Matrices
|
1 |
2014-04-28 |
569.20kB |
50 | |
0 |
|
Speedup Learning for Repair-based Search by Identifying Redundant Steps
|
1 |
2014-04-28 |
167.45kB |
56 | |
0 |
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Spherical-Homoscedastic Distributions: The Equivalency of Spherical and Normal Distributions in Classification
|
1 |
2014-04-28 |
478.68kB |
66 | |
0 |
|
Stability and Generalization
|
1 |
2014-04-28 |
210.94kB |
57 | |
0 |
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Stability Bounds for Stationary -mixing and -mixing Processes
|
1 |
2014-04-28 |
207.79kB |
53 | |
0 |
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Stability of Density-Based Clustering
|
1 |
2014-04-28 |
2.21MB |
55 | |
0 |
|
Stability of Randomized Learning Algorithms
|
1 |
2014-04-28 |
177.76kB |
63 | |
0 |
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Stability Properties of Empirical Risk Minimization over Donsker Classes
|
1 |
2014-04-28 |
164.35kB |
48 | |
0 |
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Stable and Efficient Gaussian Process Calculations
|
1 |
2014-04-28 |
246.97kB |
46 | |
0 |
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Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
|
1 |
2014-04-28 |
1.39MB |
94 | |
0 |
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Stagewise Lasso
|
1 |
2014-04-28 |
611.53kB |
42 | |
0 |
|
Static Prediction Games for Adversarial Learning Problems
|
1 |
2014-04-28 |
619.68kB |
67 | |
0 |
|
Stationary Features and Cat Detection
|
1 |
2014-04-28 |
286.03kB |
52 | 1+ |
0 |
|
Stationary-Sparse Causality Network Learning
|
1 |
2014-04-28 |
416.79kB |
46 | |
0 |
|
Statistical Consistency of Kernel Canonical Correlation Analysis
|
1 |
2014-04-28 |
367.80kB |
49 | |
0 |
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Statistical Dynamics of On-line Independent Component Analysis
|
1 |
2014-04-28 |
1.02MB |
70 | |
0 |
|
Step Size Adaptation in Reproducing Kernel Hilbert Space
|
1 |
2014-04-28 |
450.31kB |
76 | |
0 |
|
Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation
|
1 |
2014-04-28 |
140.34kB |
48 | |
0 |
|
Stochastic Composite Likelihood
|
1 |
2014-04-28 |
749.14kB |
48 | 2+ |
0 |
|
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization
|
1 |
2014-04-28 |
711.51kB |
47 | |
0 |
|
Stochastic Methods for l1-regularized Loss Minimization
|
1 |
2014-04-28 |
517.56kB |
51 | 1+ |
0 |
|
Stochastic Variational Inference
|
1 |
2014-04-28 |
397.78kB |
62 | 1+ |
0 |
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Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem
|
1 |
2014-04-28 |
274.08kB |
63 | |
0 |
|
Streamwise Feature Selection
|
1 |
2014-04-28 |
163.86kB |
55 | |
0 |
|
Stress Functions for Nonlinear Dimension Reduction, Proximity Analysis, and Graph Drawing
|
1 |
2014-04-28 |
593.04kB |
150 | |
0 |
|
Strong Limit Theorems for the Bayesian Scoring Criterion in Bayesian Networks
|
1 |
2014-04-28 |
120.69kB |
58 | |
0 |
|
Structural Learning of Chain Graphs via Decomposition
|
1 |
2014-04-28 |
809.44kB |
54 | |
0 |
|
Structure Spaces
|
1 |
2014-04-28 |
669.80kB |
54 | |
0 |
|
Structured Prediction, Dual Extragradient and Bregman Projections (Special Topic on Machine Learning and Optimization)
|
1 |
2014-04-28 |
534.29kB |
59 | |
0 |
|
Structured Sparsity and Generalization
|
1 |
2014-04-28 |
146.96kB |
54 | |
0 |
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Structured Sparsity via Alternating Direction Methods
|
1 |
2014-04-28 |
629.89kB |
69 | |
0 |
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Structured Variable Selection with Sparsity-Inducing Norms
|
1 |
2014-04-28 |
446.85kB |
49 | |
0 |
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Sub-Local Constraint-Based Learning of Bayesian Networks Using A Joint Dependence Criterion
|
1 |
2014-04-28 |
614.81kB |
65 | |
0 |
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Subgroup Analysis via Recursive Partitioning
|
1 |
2014-04-28 |
143.83kB |
47 | |
0 |
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Subgroup Discovery with CN2-SD
|
1 |
2014-04-28 |
133.49kB |
60 | |
0 |
|
Sufficient Dimensionality Reduction (Kernel Machines Section)
|
1 |
2014-04-28 |
195.34kB |
64 | |
0 |
|
Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation
|
1 |
2014-04-28 |
852.47kB |
111 | |
0 |
|
Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition
|
1 |
2014-04-28 |
271.67kB |
54 | |
0 |
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Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining
|
1 |
2014-04-28 |
278.96kB |
48 | |
0 |
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Supervised Feature Selection in Graphs with Path Coding Penalties and Network Flows
|
1 |
2014-04-28 |
373.95kB |
60 | 1+ |
0 |
|
Support Vector Clustering (Kernel Machines Section)
|
1 |
2014-04-28 |
326.52kB |
62 | |
0 |
|
Support Vector Machine Active Learning with Applications to Text Classification
|
1 |
2014-04-28 |
309.68kB |
7,430 | 9+ |
0 |
|
Support Vector Machine Soft Margin Classifiers: Error Analysis
|
1 |
2014-04-28 |
2.70MB |
75 | |
0 |
|
Support Vector Machinery for Infinite Ensemble Learning
|
1 |
2014-04-28 |
153.85kB |
53 | |
0 |
|
SVDFeature: A Toolkit for Feature-based Collaborative Filtering
|
1 |
2014-04-28 |
224.99kB |
52 | |
0 |
|
SVMTorch: Support Vector Machines for Large-Scale Regression Problems (Kernel Machines Section)
|
1 |
2014-04-28 |
307.97kB |
58 | 1+ |
0 |
|
Synergistic Face Detection and Pose Estimation with Energy-Based Models
|
1 |
2014-04-28 |
2.24MB |
67 | |
0 |
|
Tapkee: An Efficient Dimension Reduction Library
|
1 |
2014-04-28 |
598.47kB |
64 | |
0 |
|
Task Clustering and Gating for Bayesian Multitask Learning
|
1 |
2014-04-28 |
285.47kB |
74 | 1+ |
0 |
|
Text Chunking based on a Generalization of Winnow
|
1 |
2014-04-28 |
199.64kB |
58 | 1+ |
0 |
|
Text Classification using String Kernels
|
1 |
2014-04-28 |
202.03kB |
67 | |
0 |
|
The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets
|
1 |
2014-04-28 |
165.06kB |
55 | |
0 |
|
The CAM Software for Nonnegative Blind Source Separation in R-Java
|
1 |
2014-04-28 |
637.86kB |
98 | 1+ |
0 |
|
The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins
|
1 |
2014-04-28 |
168.45kB |
63 | |
0 |
|
The em Algorithm for Kernel Matrix Completion with Auxiliary Data
|
1 |
2014-04-28 |
144.75kB |
83 | |
0 |
|
The Entire Regularization Path for the Support Vector Machine
|
1 |
2014-04-28 |
184.62kB |
54 | |
0 |
|
The Hidden Life of Latent Variables: Bayesian Learning with Mixed Graph Models
|
1 |
2014-04-28 |
676.53kB |
72 | |
0 |
|
The huge Package for High-dimensional Undirected Graph Estimation in R
|
1 |
2014-04-28 |
339.26kB |
54 | |
0 |
|
The Indian Buffet Process: An Introduction and Review
|
1 |
2014-04-28 |
407.75kB |
121 | |
0 |
|
The Interplay of Optimization and Machine Learning Research (Special Topic on Machine Learning and Optimization)
|
1 |
2014-04-28 |
118.18kB |
68 | |
0 |
|
The Learning-Curve Sampling Method Applied to Model-Based Clustering
|
1 |
2014-04-28 |
193.58kB |
65 | |
0 |
|
The Locally Weighted Bag of Words Framework for Document Representation
|
1 |
2014-04-28 |
1.74MB |
62 | |
0 |
|
The Minimum Error Minimax Probability Machine
|
1 |
2014-04-28 |
196.39kB |
62 | 2+ |
0 |
|
The Need for Open Source Software in Machine Learning
|
1 |
2014-04-28 |
1.28MB |
89 | 2+ |
0 |
|
The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs
|
1 |
2014-04-28 |
1.53MB |
55 | |
0 |
|
The On-Line Shortest Path Problem Under Partial Monitoring
|
1 |
2014-04-28 |
389.69kB |
52 | |
0 |
|
The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem
|
1 |
2014-04-28 |
926.73kB |
116 | |
0 |
|
The Pyramid Match Kernel: Efficient Learning with Sets of Features
|
1 |
2014-04-28 |
7.96MB |
59 | |
0 |
|
The Rate of Convergence of AdaBoost
|
1 |
2014-04-28 |
314.88kB |
59 | 1+ |
0 |
|
The Representational Power of Discrete Bayesian Networks
|
1 |
2014-04-28 |
457.49kB |
64 | |
0 |
|
The Sample Complexity of Dictionary Learning
|
1 |
2014-04-28 |
185.59kB |
60 | |
0 |
|
The Sample Complexity of Exploration in the Multi-Armed Bandit Problem (Special Topic on Learning Theory)
|
1 |
2014-04-28 |
174.52kB |
67 | |
0 |
|
The Set Covering Machine
|
1 |
2014-04-28 |
599.85kB |
59 | |
0 |
|
The SHOGUN Machine Learning Toolbox
|
1 |
2014-04-28 |
37.24kB |
102 | 1+ |
0 |
|
The Stationary Subspace Analysis Toolbox
|
1 |
2014-04-28 |
70.42kB |
51 | |
0 |
|
The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces (Kernel Machines Section)
|
1 |
2014-04-28 |
675.84kB |
73 | 2+ |
0 |
|
Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective
|
1 |
2014-04-28 |
293.98kB |
77 | |
0 |
|
Theoretical Analysis of Bayesian Matrix Factorization
|
1 |
2014-04-28 |
581.48kB |
63 | |
0 |
|
Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifolds
|
1 |
2014-04-28 |
5.48MB |
75 | |
0 |
|
Topology Selection in Graphical Models of Autoregressive Processes
|
1 |
2014-04-28 |
324.79kB |
52 | |
0 |
|
Toward Attribute Efficient Learning of Decision Lists and Parities
|
1 |
2014-04-28 |
129.72kB |
50 | |
0 |
|
Towards Integrative Causal Analysis of Heterogeneous Data Sets and Studies
|
1 |
2014-04-28 |
4.05MB |
56 | |
0 |
|
Tracking a Small Set of Experts by Mixing Past Posteriors
|
1 |
2014-04-28 |
64.74kB |
59 | |
0 |
|
Tracking the Best Linear Predictor
|
1 |
2014-04-28 |
476.95kB |
96 | |
0 |
|
Trading Regret for Efficiency: Online Convex Optimization with Long Term Constraints
|
1 |
2014-04-28 |
230.61kB |
87 | |
0 |
|
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM
|
1 |
2014-04-28 |
150.51kB |
63 | |
0 |
|
Training Energy-Based Models for Time-Series Imputation
|
1 |
2014-04-28 |
419.20kB |
74 | |
0 |
|
Training SVMs Without Offset
|
1 |
2014-04-28 |
922.84kB |
48 | |
0 |
|
Transfer in Reinforcement Learning via Shared Features
|
1 |
2014-04-28 |
434.22kB |
71 | |
0 |
|
Transfer Learning for Reinforcement Learning Domains: A Survey
|
1 |
2014-04-28 |
409.39kB |
65 | |
0 |
|
Transfer Learning via Inter-Task Mappings for Temporal Difference Learning
|
1 |
2014-04-28 |
511.94kB |
55 | |
0 |
|
Tree Decomposition for Large-Scale SVM Problems
|
1 |
2014-04-28 |
403.78kB |
59 | |
0 |
|
Tree Induction vs. Logistic Regression: A Learning-Curve Analysis
|
1 |
2014-04-28 |
309.92kB |
71 | |
0 |
|
Tree-Based Batch Mode Reinforcement Learning
|
1 |
2014-04-28 |
1.32MB |
54 | |
0 |
|
Tree-Structured Neural Decoding
|
1 |
2014-04-28 |
254.19kB |
67 | |
0 |
|
Truncated Power Method for Sparse Eigenvalue Problems
|
1 |
2014-04-28 |
645.50kB |
68 | |
0 |
|
Truncating the Loop Series Expansion for Belief Propagation
|
1 |
2014-04-28 |
1.31MB |
54 | |
0 |
|
Trust Region Newton Method for Logistic Regression
|
1 |
2014-04-28 |
48.85kB |
59 | |
0 |
|
Two Distributed-State Models For Generating High-Dimensional Time Series
|
1 |
2014-04-28 |
866.01kB |
65 | |
0 |
|
Ultraconservative Online Algorithms for Multiclass Problems
|
1 |
2014-04-28 |
6.70MB |
79 | |
0 |
|
Ultrahigh Dimensional Feature Selection: Beyond The Linear Model
|
1 |
2014-04-28 |
195.89kB |
52 | |
0 |
|
Undercomplete Blind Subspace Deconvolution
|
1 |
2014-04-28 |
803.71kB |
50 | |
0 |
|
Uniform Object Generation for Optimizing One-class Classifiers (Kernel Machines Section)
|
1 |
2014-04-28 |
188.01kB |
48 | |
0 |
|
Union Support Recovery in Multi-task Learning
|
1 |
2014-04-28 |
212.21kB |
52 | |
0 |
|
Universal Algorithms for Learning Theory Part I : Piecewise Constant Functions
|
1 |
2014-04-28 |
187.31kB |
77 | |
0 |
|
Universal Kernel-Based Learning with Applications to Regular Languages(Special Topic on Mining and Learning with Graphs and Relations)
|
1 |
2014-04-28 |
282.09kB |
56 | |
0 |
|
Universal Kernels
|
1 |
2014-04-28 |
140.17kB |
73 | 11+ |
0 |
|
Universality, Characteristic Kernels and RKHS Embedding of Measures
|
1 |
2014-04-28 |
369.71kB |
50 | |
0 |
|
Unlabeled Compression Schemes for Maximum Classes
|
1 |
2014-04-28 |
457.23kB |
52 | |
0 |
|
Unsupervised Similarity-Based Risk Stratification for Cardiovascular Events Using Long-Term Time-Series Data
|
1 |
2014-04-28 |
276.07kB |
56 | |
0 |
|
Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels
|
1 |
2014-04-28 |
642.66kB |
103 | |
0 |
|
Unsupervised Supervised Learning II: Margin-Based Classification Without Labels
|
1 |
2014-04-28 |
253.97kB |
53 | 1+ |
0 |
|
Use of the Zero-Norm with Linear Models and Kernel Methods (Kernel Machines Section)
|
1 |
2014-04-28 |
230.27kB |
58 | |
0 |
|
Using Contextual Representations to Efficiently Learn Context-Free Languages
|
1 |
2014-04-28 |
356.13kB |
72 | |
0 |
|
Using Local Dependencies within Batches to Improve Large Margin Classifiers
|
1 |
2014-04-28 |
268.98kB |
53 | |
0 |
|
Using Machine Learning to Guide Architecture Simulation
|
1 |
2014-04-28 |
809.37kB |
113 | 1+ |
0 |
|
Using Markov Blankets for Causal Structure Learning(Special Topic on Causality)
|
1 |
2014-04-28 |
506.99kB |
96 | |
0 |
|
Using Symmetry and Evolutionary Search to Minimize Sorting Networks
|
1 |
2014-04-28 |
507.96kB |
64 | |
0 |
|
Value Function Approximation using Multiple Aggregation for Multiattribute Resource Management
|
1 |
2014-04-28 |
1.34MB |
61 | |
0 |
|
Value Function Based Reinforcement Learning in Changing Markovian Environments
|
1 |
2014-04-28 |
382.70kB |
55 | |
0 |
|
Value Regularization and Fenchel Duality
|
1 |
2014-04-28 |
299.19kB |
48 | |
0 |
|
Variable Selection in High-dimensional Varying-coefficient Models with Global Optimality
|
1 |
2014-04-28 |
256.72kB |
60 | |
0 |
|
Variable Sparsity Kernel Learning
|
1 |
2014-04-28 |
236.15kB |
49 | |
0 |
|
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning
|
1 |
2014-04-28 |
324.36kB |
50 | |
0 |
|
Variational Algorithms for Marginal MAP
|
1 |
2014-04-28 |
665.80kB |
57 | |
0 |
|
Variational Inference in Nonconjugate Models
|
1 |
2014-04-28 |
500.05kB |
46 | |
0 |
|
Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components
|
1 |
2014-04-28 |
337.60kB |
62 | |
0 |
|
Variational Message Passing
|
1 |
2014-04-28 |
456.23kB |
51 | |
0 |
|
Visualizing Data using t-SNE
|
1 |
2014-04-28 |
254.27kB |
44 | |
0 |
|
Walk-Sums and Belief Propagation in Gaussian Graphical Models
|
1 |
2014-04-28 |
345.37kB |
55 | |
0 |
|
Weather Data Mining Using Independent Component Analysis
|
1 |
2014-04-28 |
168.93kB |
100 | |
0 |
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Weisfeiler-Lehman Graph Kernels
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1 |
2014-04-28 |
299.28kB |
51 | |
0 |
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WEKAExperiences with a Java Open-Source Project
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1 |
2014-04-28 |
216.11kB |
153 | |
0 |
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What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks
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1 |
2014-04-28 |
276.21kB |
93 | |
0 |
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When Is There a Representer Theorem? Vector Versus Matrix Regularizers
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1 |
2014-04-28 |
196.77kB |
46 | |
0 |
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Why Does Unsupervised Pre-training Help Deep Learning?
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1 |
2014-04-28 |
1.29MB |
170 | |
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Word-Sequence Kernels
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1 |
2014-04-28 |
13.79kB |
68 | |
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Working Set Selection Using Second Order Information for Training Support Vector Machines
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1 |
2014-04-28 |
440.14kB |
52 | |
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Worst-Case Analysis of Selective Sampling for Linear Classification
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1 |
2014-04-28 |
184.34kB |
45 | 1+ |
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X-Armed Bandits
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1 |
2014-04-28 |
835.49kB |
52 | |
0 |