2006 | OriginalPaper | Buchkapitel
Embedded Methods
verfasst von : Thomas Navin Lal, Olivier Chapelle, Jason Weston, André Elisseeff
Erschienen in: Feature Extraction
Verlag: Springer Berlin Heidelberg
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Although many embedded feature selection methods have been introduced during the last few years, a unifying theoretical framework has not been developed to date. We start this chapter by defining such a framework which we think is general enough to cover many embedded methods. We will then discuss embedded methods based on
how
they solve the feature selection problem.