variable selection

146 papers

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Co-occurring keywords

feature selection (649) high-dimensional regression (142) sparse regression (175) high-dimensional datum (157) false discovery rate (75) convex optimization (1320) bayesian inference (1904) group lasso (64) high-dimensional statistics (145) model selection (454)

Papers

Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction NIPS 2009

Nonparametric Greedy Algorithms for the Sparse Learning Problem NIPS 2009

Ultrahigh Dimensional Feature Selection: Beyond The Linear Model JMLR 2009

Application of Non Parametric Empirical Bayes Estimation to High Dimensional Classification JMLR 2009

A Parameter-Free Classification Method for Large Scale Learning JMLR 2009

Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation NIPS 2009

An Information Criterion for Variable Selection in Support Vector Machines JMLR 2008

Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning NIPS 2008

Consistency of the Group Lasso and Multiple Kernel Learning JMLR 2008

Penalized Model-Based Clustering with Application to Variable Selection JMLR 2007

Catching Change-points with Lasso NIPS 2007

Estimation of Gradients and Coordinate Covariation in Classification JMLR 2006

Sparse Boosting JMLR 2006

Learning Coordinate Covariances via Gradients JMLR 2006

Randomized Variable Elimination JMLR 2004

Benefitting from the Variables that Variable Selection Discards JMLR 2003

An Introduction to Variable and Feature Selection JMLR 2003

Ranking a Random Feature for Variable and Feature Selection JMLR 2003

Overfitting in Making Comparisons Between Variable Selection Methods JMLR 2003

Variable Selection Using SVM-based Criteria JMLR 2003

Dimensionality Reduction via Sparse Support Vector Machines JMLR 2003