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I am interested in learning about methods to select features from data to be used for SVM or regression models. I appreciate any pointer to a good tutorial or document that can help me pick it up faster. |
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A few years back, JMLR ran a special issue on feature selection, which may be of interest to you. In particular, the introduction to variable and feature selection by Guyon and Elisseeff is a very good paper to get started with. |
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I recommend the treatment given in any of the following: "Predictive Data Mining", by Weiss and Indurkhya "Data Mining", by Witten and Frank "Data Mining", by Han and Kamber |
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The classical book Elements of statistical learning talks on this subject in chapter 18: "High-Dimensional Problems". Also, see the works of Guyon et al and Computational Methods of Feature Selection. |