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feature selection

649 papers

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Also known as

RFECV FS

Co-occurring keywords

support vector machine (976) dimensionality reduction (720) sparse optimization (246) kernel methods (1096) variable selection (146) sparse regression (175) convex optimization (1320) text classification (6776) high-dimensional datum (157) unsupervised learning (3255)

Papers

High-Dimensional Structured Feature Screening Using Binary Markov Random Fields AISTATS 2012
Locality Preserving Feature Learning AISTATS 2012
A General Framework for Structured Sparsity via Proximal Optimization AISTATS 2012
Sparse Higher-Order Principal Components Analysis AISTATS 2012
On the Necessity of Irrelevant Variables JMLR 2012
Feature Selection via Dependence Maximization JMLR 2012
A systematic approach to extracting semantic information from functional MRI data NIPS 2012
Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis NIPS 2011
Union Support Recovery in Multi-task Learning JMLR 2011
Online Learning of Structured Predictors with Multiple Kernels AISTATS 2011
Learning with Structured Sparsity JMLR 2011
Learning a Tree of Metrics with Disjoint Visual Features NIPS 2011
Learning Higher-Order Graph Structure with Features by Structure Penalty NIPS 2011
Efficient Methods for Overlapping Group Lasso NIPS 2011
Large-Scale Sparse Principal Component Analysis with Application to Text Data NIPS 2011
Understanding the Intrinsic Memorability of Images NIPS 2011
Trace Lasso: a trace norm regularization for correlated designs NIPS 2011
Projection onto A Nonnegative Max-Heap NIPS 2011
Prismatic Algorithm for Discrete D.C. Programming Problem NIPS 2011
Large-Scale Category Structure Aware Image Categorization NIPS 2011
Stochastic Methods for -regularized Loss Minimization JMLR 2011
Moreau-Yosida Regularization for Grouped Tree Structure Learning NIPS 2010
Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression NIPS 2010
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation JMLR 2010
SFO: A Toolbox for Submodular Function Optimization JMLR 2010