Electronic Resource

Hybrid Classifiers: Methods of Data, Knowledge, and Classifier Combination

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Penilaian

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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 incorporated in hybridization were the action points, and then a still growing up area of classifier systems known as combined classifiers was considered. This book comprises the aforementioned state-of-the-art topics and the latest research results of the author and his team from Department of Systems and Computer Networks, Wroclaw University of Technology, including as classifier based on feature space splitting, one-class classification, imbalance data, and data stream classification.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1408000668	EB0003250	006.3 Woz h	Central Library (OPAC)	Available

Detail Information

Series Title

Studies in Computational Intelligence

Call Number

006.3 Woz h

Publisher

Berlin Heidelberg : Springer Berlin, Heidelberg., 2013

Collation

xvi, 217p.: Ill.

Language

English

ISBN/ISSN

978-3-642-40997-4

Classification

006.3

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Machine Learning

Specific Detail Info

-

Statement of Responsibility

RTS

Other version/related

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