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Hybrid Classifier, Softcover reprint of the original 1st ed. 2014 Methods of Data, Knowledge, and Classifier Combination Studies in Computational Intelligence Series, Vol. 519

Langue : Anglais

Auteur :

Couverture de l’ouvrage Hybrid Classifier

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.

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

Latest research on Classifier Fusion

Presents Methods of Data and Classifier Fusion

Written by leading experts in the field

Date de parution :

Ouvrage de 217 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

Prix indicatif 116,04 €

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Date de parution :

Ouvrage de 217 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

Prix indicatif 147,69 €

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