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Published by Springer Berlin Heidelberg, 2011
ISBN 10: 3642194052 ISBN 13: 9783642194054
Language: English
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Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2013
ISBN 10: 3642267513 ISBN 13: 9783642267512
Language: English
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Data fusion problems arise frequently in many different fields. This book provides a specific introduction to data fusion problems using support vector machines. In the first part, this book begins with a brief survey of additive models and Rayleigh quotient objectives in machine learning, and then introduces kernel fusion as the additive expansion of support vector machines in the dual problem. The second part presents several novel kernel fusion algorithms and some real applications in supervised and unsupervised learning. The last part of the book substantiates the value of the proposed theories and algorithms in MerKator, an open software to identify disease relevant genes based on the integration of heterogeneous genomic data sources in multiple species. The topics presented in this book are meant for researchers or students who use support vector machines. Several topics addressed in the book may also be interesting to computational biologists who want to tackle data fusion challenges in real applications. The background required of the reader is a good knowledge of data mining, machine learning and linear algebra.
Published by Springer Berlin Heidelberg, 2011
ISBN 10: 3642194052 ISBN 13: 9783642194054
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Data fusion problems arise frequently in many different fields. This book provides a specific introduction to data fusion problems using support vector machines. In the first part, this book begins with a brief survey of additive models and Rayleigh quotient objectives in machine learning, and then introduces kernel fusion as the additive expansion of support vector machines in the dual problem. The second part presents several novel kernel fusion algorithms and some real applications in supervised and unsupervised learning. The last part of the book substantiates the value of the proposed theories and algorithms in MerKator, an open software to identify disease relevant genes based on the integration of heterogeneous genomic data sources in multiple species. The topics presented in this book are meant for researchers or students who use support vector machines. Several topics addressed in the book may also be interesting to computational biologists who want to tackle data fusion challenges in real applications. The background required of the reader is a good knowledge of data mining, machine learning and linear algebra.
Seller: Mispah books, Redhill, SURRE, United Kingdom
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Published by Springer-Verlag New York Inc, 2013
ISBN 10: 3642267513 ISBN 13: 9783642267512
Language: English
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Buch. Condition: Neu. Bioinformatics Applications Based On Machine Learning | Buch | Englisch | 2021 | MDPI AG | EAN 9783036507606 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Published by Springer-Verlag GmbH, 2011
ISBN 10: 3642194052 ISBN 13: 9783642194054
Language: English
Seller: preigu, Osnabrück, Germany
Buch. Condition: Neu. Kernel-based Data Fusion for Machine Learning | Methods and Applications in Bioinformatics and Text Mining | Shi Yu (u. a.) | Buch | xiv | Englisch | 2011 | Springer-Verlag GmbH | EAN 9783642194054 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.