Hybrid Classifiers

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Beschreibung

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.



Inhalt

Introduction.- Data and knowledge hybridization.- Classifier hybridization.- Chosen applications of hybrid classifiers.- Conclusions.

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Produktinformationen

Titel
Hybrid Classifiers
Untertitel
Methods of Data, Knowledge, and Classifier Combination
Autor
EAN
9783642409974
Format
E-Book (pdf)
Hersteller
Springer Berlin Heidelberg
Genre
Technik
Veröffentlichung
16.09.2013
Digitaler Kopierschutz
Wasserzeichen
Dateigrösse
5.38 MB
Anzahl Seiten
217
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