Hybrid Classifier

Methods of Data, Knowledge, and Classifier Combination
 Book
Sofort lieferbar | Lieferzeit:3-5 Tage I
ISBN-13:
9783642409967
Einband:
Book
Erscheinungsdatum:
24.09.2013
Seiten:
217
Autor:
Michal Wozniak
Gewicht:
523 g
Format:
244x161x22 mm
Serie:
519, Studies in Computational Intelligence
Sprache:
Englisch
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 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.
Introduction.- Data and knowledge hybridization.- Classifier hybridization.- Chosen applications of hybrid classifiers.- Conclusions.
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.

Kunden Rezensionen

Zu diesem Artikel ist noch keine Rezension vorhanden.
Helfen sie anderen Besuchern und verfassen Sie selbst eine Rezension.