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In den WarenkorbZustand: New. In.
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In den WarenkorbEinband - fest (Hardcover). Zustand: New.
Verlag: Springer Berlin Heidelberg, 2011
ISBN 10: 3642194052 ISBN 13: 9783642194054
Sprache: Englisch
Anbieter: Buchpark, Trebbin, Deutschland
EUR 136,49
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In den WarenkorbZustand: Gut. Zustand: Gut | Seiten: 228 | Sprache: Englisch | Produktart: Bücher.
Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2013
ISBN 10: 3642267513 ISBN 13: 9783642267512
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 181,89
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In den WarenkorbTaschenbuch. Zustand: 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.
Verlag: Springer Berlin Heidelberg, 2011
ISBN 10: 3642194052 ISBN 13: 9783642194054
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 181,89
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbBuch. Zustand: 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.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 188,63
Währung umrechnenAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 188,63
Währung umrechnenAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Verlag: Springer-Verlag New York Inc, 2013
ISBN 10: 3642267513 ISBN 13: 9783642267512
Sprache: Englisch
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 267,00
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In den WarenkorbPaperback. Zustand: Brand New. 2011 edition. 228 pages. 9.25x6.10x0.54 inches. In Stock.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Brand New. 212 pages. 9.25x6.25x0.25 inches. In Stock.