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An Introduction to Variable and Feature Selection.
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- Journal of Machine Learning Research, 2003, v. 3, n. 7/8, p. 1157
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Distributional Word Clusters vs. Words for Text Categorization.
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- Journal of Machine Learning Research, 2003, v. 3, n. 7/8, p. 1183
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Extensions to Metric-Based Model Selection.
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- Journal of Machine Learning Research, 2003, v. 3, n. 7/8, p. 1209
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Dimensionality Reduction via Sparse Support Vector Machines.
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- Journal of Machine Learning Research, 2003, v. 3, n. 7/8, p. 1229
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Benefitting from the Variables that Variable Selection Discards.
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- Journal of Machine Learning Research, 2003, v. 3, n. 7/8, p. 1245
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A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification.
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- Journal of Machine Learning Research, 2003, v. 3, n. 7/8, p. 1265
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An Extensive Empirical Study of Feature Selection Metrics for Text Classification.
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- Journal of Machine Learning Research, 2003, v. 3, n. 7/8, p. 1289
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Sufficient Dimensionality Reduction.
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- Journal of Machine Learning Research, 2003, v. 3, n. 7/8, p. 1307
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Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space.
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- Journal of Machine Learning Research, 2003, v. 3, n. 7/8, p. 1333
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Variable Selection Using SVM-based Criteria.
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- Journal of Machine Learning Research, 2003, v. 3, n. 7/8, p. 1357
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Overfitting in Making Comparisons Between Variable Selection Methods.
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- Journal of Machine Learning Research, 2003, v. 3, n. 7/8, p. 1371
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MLPs (Mono-Layer Polynomials and Multi-Layer Perceptrons) for Nonlinear Modeling.
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- Journal of Machine Learning Research, 2003, v. 3, n. 7/8, p. 1383
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Ranking a Random Feature for Variable and Feature Selection.
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- Journal of Machine Learning Research, 2003, v. 3, n. 7/8, p. 1399
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Feature Extraction by Non-Parametric Mutual Information Maximization.
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- Journal of Machine Learning Research, 2003, v. 3, n. 7/8, p. 1415
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Use of the Zero-Norm with Linear Models and Kernel Methods.
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- Journal of Machine Learning Research, 2003, v. 3, n. 7/8, p. 1439
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- Article