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Feature Selection

462 directly classified papers

Papers per year

Papers

An interior-point stochastic approximation method and an L1-regularized delta rule NIPS 2008
A Kernel Statistical Test of Independence NIPS 2007
Penalized Model-Based Clustering with Application to Variable Selection JMLR 2007
Discriminative Keyword Selection Using Support Vector Machines NIPS 2007
Feature Selection Methods for Improving Protein Structure Prediction with Rosetta NIPS 2007
Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data NIPS 2007
A Randomized Algorithm for Large Scale Support Vector Learning NIPS 2007
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation NIPS 2007
Catching Change-points with Lasso NIPS 2007
A New View of Automatic Relevance Determination NIPS 2007
A Spectral Regularization Framework for Multi-Task Structure Learning NIPS 2007
Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition NIPS 2007
A Stochastic Algorithm for Feature Selection in Pattern Recognition JMLR 2007
Consistent Feature Selection for Pattern Recognition in Polynomial Time JMLR 2007
Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation NIPS 2006
Learning Coordinate Covariances via Gradients JMLR 2006
Sparse Boosting JMLR 2006
Active Learning with Feedback on Features and Instances JMLR 2006
On Model Selection Consistency of Lasso JMLR 2006
Streamwise Feature Selection JMLR 2006
Generalization Bounds and Complexities Based on Sparsity and Clustering for Convex Combinations of Functions from Random Classes JMLR 2005
Randomized Variable Elimination JMLR 2004
Efficient Feature Selection via Analysis of Relevance and Redundancy JMLR 2004
Second Order Cone Programming Formulations for Feature Selection JMLR 2004
Fast Binary Feature Selection with Conditional Mutual Information JMLR 2004