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TypeName FilesAddedSizeDLs
GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression 1 2014-04-28 43.28kB 401+ 0
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning 1 2014-04-28 324.36kB 371+ 0
Query Strategies for Evading Convex-Inducing Classifiers 1 2014-04-28 374.14kB 361+ 0
Estimation and Selection via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications 1 2014-04-28 264.28kB 391+ 0
Bounding the Probability of Error for High Precision Optical Character Recognition 1 2014-04-28 698.79kB 522+ 0
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models 1 2014-04-28 319.91kB 362+ 0
The Minimum Error Minimax Probability Machine 1 2014-04-28 196.39kB 381+ 0
High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion 1 2014-04-28 380.31kB 402+ 0
Learning to Select Features using their Properties 1 2014-04-28 137.76kB 422+ 0
Variable Sparsity Kernel Learning 1 2014-04-28 236.15kB 361+ 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 521+ 0
Learning with Structured Sparsity 1 2014-04-28 518.70kB 371+ 0
Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets 1 2014-04-28 427.93kB 381+ 0
Generalized Bradley-Terry Models and Multi-Class Probability Estimates 1 2014-04-28 402.41kB 321+ 0
Fourier Theoretic Probabilistic Inference over Permutations 1 2014-04-28 696.98kB 271+ 0
Measuring Differentiability: Unmasking Pseudonymous Authors 1 2014-04-28 179.22kB 311+ 0
Image Super-Resolution Via Sparse Representation 1 2015-11-29 1.85MB 2 0
\{MODIS\} Collection 5 global land cover: Algorithm refinements and characterization of new datasets 1 2016-03-30 1.64MB 2 0
An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks 1 2016-03-30 1.37MB 1 0
EPIC-KITCHENS 2018 1735 2019-04-11 1.15TB 1 2

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