Hybrid Classifiers

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Beschreibung

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 dealing with such projects.

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.



Latest research on Classifier Fusion

Presents Methods of Data and Classifier Fusion

Written by leading experts in the field



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
9783662523049
ISBN
3662523043
Format
Kartonierter Einband
Herausgeber
Springer Berlin Heidelberg
Genre
Allgemeines & Lexika
Anzahl Seiten
236
Gewicht
365g
Größe
H235mm x B155mm x T12mm
Jahr
2016
Untertitel
Englisch
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