Hybrid Classifiers: Methods of Data, Knowledge, and Classifier Combination (Studies in Computational Intelligence, 519)
Wozniak, Michal
ISBN 10: 3642409962 ISBN 13: 9783642409967
Editorial: Springer, 2013
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Sinopsis:
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.
De la contraportada:
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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Título: Hybrid Classifiers: Methods of Data, ...
Editorial: Springer
Año de publicación: 2013
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Condición: New
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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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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. Nº de ref. del artículo: 3361FB
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Hybrid Classifier
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Springer Berlin Heidelberg, 2013
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Condición: 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. Nº de ref. del artículo: 5059821
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Hybrid Classifiers | Methods of Data, Knowledge, and Classifier Combination
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Buch. Condición: Neu. Hybrid Classifiers | Methods of Data, Knowledge, and Classifier Combination | Michal Wozniak | Buch | xvi | Englisch | 2013 | Springer-Verlag GmbH | EAN 9783642409967 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 105691829
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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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Springer Berlin Heidelberg Sep 2013, 2013
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Buch. Condición: 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. Nº de ref. del artículo: 9783642409967
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Hybrid Classifiers
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Springer Berlin Heidelberg, Springer Berlin Heidelberg Sep 2013, 2013
ISBN 10: 3642409962
ISBN 13: 9783642409967
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Buch. Condición: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 236 pp. Englisch. Nº de ref. del artículo: 9783642409967
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Hybrid Classifiers : Methods of Data, Knowledge, and Classifier Combination
Publicado por
Springer Berlin Heidelberg, 2013
ISBN 10: 3642409962
ISBN 13: 9783642409967
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Buch. Condición: 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. Nº de ref. del artículo: 9783642409967
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Hybrid Classifiers
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Hybrid Classifiers: Methods of Data, Knowledge, and Classifier Combination (Studies in Computational Intelligence, 519)
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