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Feature Selection Via Joint Likelihood (Paperback)  | Released: 21 Nov 2013

By: Adam C. Pocock (Author)   Publisher: BCS Learning & Development Limited

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The field of feature selection has many different competing algorithms, selection criteria and measure functions, with little theoretical justification for the choice of one measure over another. This thesis focuses on feature selection algorithms that use information theoretic criteria and provide a solid theoretical justification for their use. Read More

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Author:

Adam C. Pocock

Publisher Name:

BCS Learning & Development Limited

Language:

English

Binding:

(Paperback)

About The Book
The field of feature selection has many different competing algorithms, selection criteria and measure functions, with little theoretical justification for the choice of one measure over another. This thesis focuses on feature selection algorithms that use information theoretic criteria and provide a solid theoretical justification for their use.

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