TR#557: Feature Selection Analysis

Nathan Eagle

9.520, Tomaso Poggio

May, 2002

Several underlying behaviors of feature selection techniques are analyzed in this paper. A bound relating sample size and dimensionality is derived and verified empirically. The 's-curve' relationship between test error and amount of training data is shown not to be a generalized behavior of all feature selection techniques.

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