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Hybrid classifiers : methods of data, knowledge, and classifier combination

Author: Michał Woźniak
Publisher: Heidelberg : Springer, [2013?] ©2014
Series: Studies in computational intelligence, v. 519.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
This book delivers a definite and compact knowledge on how hybridization can help improving the quality of computer classification systems. In order to make readers clearly realize the knowledge of hybridization, this book primarily focuses on introducing the different levels of hybridization and illuminating what problems we will face with as dealing with such projects. In the first instance the data and knowledge  Read more...
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Genre/Form: Electronic books
Ebook
Additional Physical Format: Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Michał Woźniak
ISBN: 9783642409974 3642409970 3642409962 9783642409967
OCLC Number: 859599358
Description: 1 online resource (xvi, 217 pages) : illustrations.
Contents: Data and knowledge hybridization --
Classifier hybridization --
Chosen applications of hybrid classifiers --
Conclusions.
Series Title: Studies in computational intelligence, v. 519.
Responsibility: Michał Woźniak.
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Abstract:

This book details how hybridization can help improve the quality of computer classification systems. It introduces the different levels of hybridization and illuminates common problems faced when  Read more...

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