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2012 | OriginalPaper | Chapter

Length and Coverage of Inhibitory Decision Rules

Authors : Fawaz Alsolami, Igor Chikalov, Mikhail Moshkov, Beata Marta Zielosko

Published in: Computational Collective Intelligence. Technologies and Applications

Publisher: Springer Berlin Heidelberg

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Authors present algorithms for optimization of inhibitory rules relative to the length and coverage. Inhibitory rules have a relation “attribute ≠ value” on the right-hand side. The considered algorithms are based on extensions of dynamic programming. Paper contains also comparison of length and coverage of inhibitory rules constructed by a greedy algorithm and by the dynamic programming algorithm.

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previous chapter The Application of Orthogonal Subspace Projection in Multi-spectral Images Processing for Cancer Recognition in Human Skin Tissue
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Metadata
Title
Length and Coverage of Inhibitory Decision Rules
Authors
Fawaz Alsolami
Igor Chikalov
Mikhail Moshkov
Beata Marta Zielosko
Copyright Year
2012
Publisher
Springer Berlin Heidelberg
Book
Computational Collective Intelligence. Technologies and Applications

Print ISBN: 978-3-642-34706-1

Electronic ISBN: 978-3-642-34707-8

Copyright Year: 2012

DOI
https://doi.org/10.1007/978-3-642-34707-8_33

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