TypeName FilesAddedSizeDLs
Tree Induction vs. Logistic Regression: A Learning-Curve Analysis 1 2014-04-28 309.92kB 501+ 0
Bouligand Derivatives and Robustness of Support Vector Machines for Regression 1 2014-04-28 531.56kB 49 0
GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression 1 2014-04-28 43.28kB 40 0
Large-scale Linear Support Vector Regression 1 2014-04-28 1.08MB 43 0
A Comparison of the Lasso and Marginal Regression 1 2014-04-28 953.29kB 44 0
A Fast Hybrid Algorithm for Large-Scale l1-Regularized Logistic Regression 1 2014-04-28 2.71MB 451+ 0
Multi-task Regression using Minimal Penalties 1 2014-04-28 293.14kB 371+ 0
SVMTorch: Support Vector Machines for Large-Scale Regression Problems (Kernel Machines Section) 1 2014-04-28 307.97kB 411+ 0
Linear Regression With Random Projections 1 2014-04-28 586.31kB 541+ 0
Multi-Target Regression with Rule Ensembles 1 2014-04-28 328.30kB 372+ 0
An Improved GLMNET for L1-regularized Logistic Regression 1 2014-04-28 549.24kB 561+ 0
Trust Region Newton Method for Logistic Regression 1 2014-04-28 48.85kB 361+ 0
Learning to Combine Motor Primitives Via Greedy Additive Regression 1 2014-04-28 1.88MB 35 0
Model Selection in Kernel Based Regression using the Influence Function(Special Topic on Model Selection) 1 2014-04-28 264.41kB 401+ 0
Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach 1 2014-04-28 340.67kB 351+ 0
Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space (Kernel Machines Section) 1 2014-04-28 235.16kB 381+ 0
A New Probabilistic Approach in Rank Regression with Optimal Bayesian Partitioning (Special Topic on Model Selection) 1 2014-04-28 1.13MB 33 0
Robust Gaussian Process Regression with a Student-t Likelihood 1 2014-04-28 759.22kB 36 0
An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression 1 2014-04-28 910.98kB 45 0
Gini Support Vector Machine: Quadratic Entropy Based Robust Multi-Class Probability Regression 1 2014-04-28 817.86kB 35 0