feature selection

Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning NeurIPS 2008 Learning to Select Features using their Properties JMLR 2008 Ranking Categorical Features Using Generalization Properties JMLR 2008 Robust Regression and Lasso NeurIPS 2008 Super-Flexible Skin Sensors Embedded on the Whole Body, Self-Organizing Based on Haptic Interactions RSS 2008 Using Markov Blankets for Causal Structure Learning JMLR 2008 A Kernel Statistical Test of Independence NeurIPS 2007 A New View of Automatic Relevance Determination NeurIPS 2007 An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression JMLR 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 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 Margin Trees for High-dimensional Classification JMLR 2007 Measuring Differentiability: Unmasking Pseudonymous Authors 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 Estimation of Gradients and Coordinate Covariation in Classification JMLR 2006 Multi-Task Feature Learning NeurIPS 2006 On Model Selection Consistency of Lasso JMLR 2006