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Feature Selection

479 papers

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Papers

Catching Change-points with Lasso NIPS 2007
Feature Selection Methods for Improving Protein Structure Prediction with Rosetta NIPS 2007
Hierarchical Penalization NIPS 2007
A Stochastic Algorithm for Feature Selection in Pattern Recognition JMLR 2007
Consistent Feature Selection for Pattern Recognition in Polynomial Time JMLR 2007
Penalized Model-Based Clustering with Application to Variable Selection 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
Streamwise Feature Selection JMLR 2006
On Model Selection Consistency of Lasso 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
Randomized Variable Elimination JMLR 2004
Second Order Cone Programming Formulations for Feature Selection JMLR 2004
Fast Binary Feature Selection with Conditional Mutual Information JMLR 2004
An Introduction to Variable and Feature Selection JMLR 2003
Extensions to Metric-Based Model Selection JMLR 2003
Dimensionality Reduction via Sparse Support Vector Machines JMLR 2003
Benefitting from the Variables that Variable Selection Discards JMLR 2003
A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification JMLR 2003
An Extensive Empirical Study of Feature Selection Metrics for Text Classification JMLR 2003
Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space JMLR 2003
Variable Selection Using SVM-based Criteria JMLR 2003