Embedded Methods

@inproceedings{Lal2004EmbeddedM,
  title={Embedded Methods},
  author={Thomas Navin Lal and Olivier Chapelle and Jason Weston and Andr{\'e} Elisseeff},
  year={2004}
}
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. Embedded methods differ from other feature selection methods in the way feature selection and learning interact. Filter methods… CONTINUE READING
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