Feature Selection

A Randomized Algorithm for Large Scale Support Vector Learning NeurIPS 2007 A Spectral Regularization Framework for Multi-Task Structure Learning NeurIPS 2007 A Stochastic Algorithm for Feature Selection in Pattern Recognition JMLR 2007 Catching Change-points with Lasso NeurIPS 2007 Consistent Feature Selection for Pattern Recognition in Polynomial Time JMLR 2007 Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation NeurIPS 2007 Discriminative Keyword Selection Using Support Vector Machines NeurIPS 2007 Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition NeurIPS 2007 Feature Selection Methods for Improving Protein Structure Prediction with Rosetta NeurIPS 2007 Hierarchical Penalization NeurIPS 2007 Penalized Model-Based Clustering with Application to Variable Selection JMLR 2007 SpAM: Sparse Additive Models NeurIPS 2007 Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data NeurIPS 2007 Active Learning with Feedback on Features and Instances JMLR 2006 Learning Coordinate Covariances via Gradients JMLR 2006 On Model Selection Consistency of Lasso JMLR 2006 Sparse Boosting JMLR 2006 Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation NeurIPS 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 Efficient Feature Selection via Analysis of Relevance and Redundancy JMLR 2004 Fast Binary Feature Selection with Conditional Mutual Information JMLR 2004 Randomized Variable Elimination JMLR 2004 Second Order Cone Programming Formulations for Feature Selection JMLR 2004 A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification JMLR 2003