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Hybrid Classifiers: Methods of Data, Knowledge, and Classifier Combination (Studies in Computational Intelligence, 519) - Hardcover
Synopsis
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.
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Review
From the book reviews:
“The author presents an up-to-date review of recent advances in this area. ... this is a very interesting, complete, and up-to-date book about various aspects of machine learning and decision making using hybrid classifiers. Although the author makes this book accessible to students and practitioners, it is probably more oriented to advanced undergraduate or graduate courses focused on improving machine learning methods and applications.” (Fernando Osorio, Computing Reviews, July, 2014)
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- PublisherSpringer
- Publication date2013
- ISBN 10 3642409962
- ISBN 13 9783642409967
- BindingHardcover
- LanguageEnglish
- Number of pages233
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Hybrid Classifier. Methods of Data, Knowledge, and Classifier Combination.
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Berlin, Springer Berlin., 2013
ISBN 10: 3642409962
ISBN 13: 9783642409967
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Hardcover
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
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2013. XVI,217 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stamped. Studies in Computational Intelligence ; 519. Sprache: en. Seller Inventory # 3361FB
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Hybrid Classifiers: Methods of Data, Knowledge, and Classifier Combination (Studies in Computational Intelligence, 519)
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Hybrid Classifiers
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Hybrid Classifiers
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Hybrid Classifiers
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Springer Berlin Heidelberg Sep 2013, 2013
ISBN 10: 3642409962
ISBN 13: 9783642409967
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 236 pp. Englisch. Seller Inventory # 9783642409967
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Hybrid Classifiers: Methods of Data, Knowledge, and Classifier Combination (Studies in Computational Intelligence, 519)
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Hybrid Classifiers : Methods of Data, Knowledge, and Classifier Combination
Published by
Springer Berlin Heidelberg, 2013
ISBN 10: 3642409962
ISBN 13: 9783642409967
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783642409967
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Hybrid Classifiers
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Condition: New. pp. xvi + 217. Seller Inventory # 1898176599
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Hybrid Classifier
Published by
Springer Berlin Heidelberg, 2013
ISBN 10: 3642409962
ISBN 13: 9783642409967
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Latest research on Classifier FusionPresents Methods of Data and Classifier FusionWritten by leading experts in the fieldThis book delivers a definite and compact knowledge on how hybridization can help improving the quality of c. Seller Inventory # 5059821
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Hybrid Classifiers: Methods of Data, Knowledge, and Classifier Combination
Seller: Revaluation Books, Exeter, United Kingdom
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Hardcover. Condition: Brand New. 2014 edition. 232 pages. 9.25x6.25x0.75 inches. In Stock. Seller Inventory # x-3642409962
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