JMLR Special Issue on Variable and Feature Selection
- An Introduction to Variable and Feature Selection (Kernel Machines Section)
- Isabelle Guyon, André Elisseeff; 3(Mar):1157--1182, 2003.
[abs][pdf] [ps.gz] [ps]
- Distributional Word Clusters vs. Words for Text Categorization (Kernel Machines Section)
- Ron Bekkerman, Ran El-Yaniv, Naftali Tishby, Yoad Winter; 3(Mar):1183--1208, 2003.
[abs][pdf] [ps.gz] [ps] [data]
- Extensions to Metric Based Model Selection
- Yoshua Bengio, Nicolas Chapados; 3(Mar):1209--1227, 2003.
[abs][pdf] [ps.gz] [ps]
- Dimensionality Reduction via Sparse Support Vector Machines (Kernel Machines Section)
- Jinbo Bi, Kristin Bennett, Mark Embrechts, Curt Breneman, Minghu Song; 3(Mar):1229--1243, 2003.
[abs][pdf] [ps.gz] [ps] [data]
- Benefitting from the Variables that Variable Selection Discards
- Rich Caruana, Virginia R. de Sa; 3(Mar):1245--1264, 2003.
[abs][pdf] [ps.gz] [ps]
- A Divisive Information Theoretic Feature Clustering Algorithm for Text Classification (Kernel Machines Section)
- Inderjit S. Dhillon, Subramanyam Mallela, Rahul Kumar; 3(Mar):1265--1287, 2003.
[abs][pdf] [ps.gz] [ps]
- An Extensive Empirical Study of Feature Selection Metrics for Text Classification
- George Forman; 3(Mar):1289--1305, 2003.
[abs][pdf] [ps.gz] [ps] [data]
- Sufficient Dimensionality Reduction (Kernel Machines Section)
- Amir Globerson, Naftali Tishby; 3(Mar):1307--1331, 2003.
[abs][pdf] [ps.gz] [ps]
- Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space (Kernel Machines Section)
- Simon Perkins, Kevin Lacker, James Theiler; 3(Mar):1333--1356, 2003.
[abs][pdf] [ps.gz] [ps] [data]
- Variable Selection Using SVM based Criteria (Kernel Machines Section)
- Alain Rakotomamonjy; 3(Mar):1357--1370, 2003.
[abs][pdf] [ps.gz] [ps] [data]
- Overfitting in Making Comparisons Between Variable Selection Methods
- Juha Reunanen; 3(Mar):1371--1382, 2003.
[abs][pdf] [ps.gz] [ps]
- MLPs (Mono Layer Polynomials and Multi Layer Perceptrons) for Nonlinear Modeling
- Isabelle Rivals, Léon Personnaz; 3(Mar):1383--1398, 2003.
[abs][pdf] [ps.gz] [ps] [data]
- Ranking a Random Feature for Variable and Feature Selection
- Hervé Stoppiglia, Gérard Dreyfus, Rémi Dubois, Yacine Oussar; 3(Mar):1399--1414, 2003.
[abs][pdf] [ps.gz] [ps]
- Feature Extraction by Non Parametric Mutual Information Maximization (Kernel Machines Section)
- Kari Torkkola; 3(Mar):1415--1438, 2003.
[abs][pdf] [ps.gz] [ps] [demo]