Computational Intelligence and Feature Selection
Author(s) -
Richard Jensen,
Qiang Shen
Publication year - 2008
Publication title -
aberystwyth research portal (aberystwyth university)
Language(s) - English
Resource type - Book series
DOI - 10.1002/9780470377888
Subject(s) - feature selection , selection (genetic algorithm) , artificial intelligence , computer science , feature (linguistics) , computational intelligence , pattern recognition (psychology) , machine learning , philosophy , linguistics
Computational Intelligence and Feature Selection provides a high level audience with both the background and fundamental ideas behind feature selection with an emphasis on those techniques based on rough and fuzzy sets, including their hybridizations. It introduces set theory, fuzzy set theory, rough set theory, and fuzzy-rough set theory, and illustrates the power and efficacy of the feature selections described through the use of real-world applications and worked examples. Program files implementing major algorithms covered, together with the necessary instructions and datasets, are available on the Web
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