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Hybrid Classifiers

Methods of Data, Knowledge, and Classifier Combination

Springer Berlin,
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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.


Titel: Hybrid Classifiers
Autoren/Herausgeber: Michal Wozniak
Aus der Reihe: Studies in Computational Intelligence
Ausgabe: 2014

ISBN/EAN: 9783642409967

Seitenzahl: 217
Format: 23,5 x 15,5 cm
Produktform: Hardcover/Gebunden
Gewicht: 520 g
Sprache: Englisch

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. - Newsletter
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