feature selection

Scalable Discriminative Learning for Natural Language Parsing and Translation NeurIPS 2006 Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation NeurIPS 2006 Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks NeurIPS 2006 Feature Selection for Unsupervised and Supervised Inference: The Emergence of Sparsity in a Weight-Based Approach JMLR 2005 Efficient Feature Selection via Analysis of Relevance and Redundancy JMLR 2004 Fast Binary Feature Selection with Conditional Mutual Information JMLR 2004 Feature Selection for Unsupervised Learning JMLR 2004 Model Averaging for Prediction with Discrete Bayesian Networks JMLR 2004 Randomized Variable Elimination JMLR 2004 Second Order Cone Programming Formulations for Feature Selection JMLR 2004 An Empirical Study of the Use of Relevance Information in Inductive Logic Programming JMLR 2003 An Extensive Empirical Study of Feature Selection Metrics for Text Classification JMLR 2003 An Introduction to Variable and Feature Selection JMLR 2003 Benefitting from the Variables that Variable Selection Discards JMLR 2003 Extensions to Metric-Based Model Selection JMLR 2003 Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space JMLR 2003 Ranking a Random Feature for Variable and Feature Selection JMLR 2003 Use of the Zero-Norm with Linear Models and Kernel Methods JMLR 2003 Variable Selection Using SVM-based Criteria JMLR 2003 Memory-Based Shallow Parsing JMLR 2002 Minimal Kernel Classifiers JMLR 2002 Sparse Bayesian Learning and the Relevance Vector Machine JMLR 2001 Learning with Mixtures of Trees JMLR 2000