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Advances in Intelligent Signal Processing and Data Mining: Theory and Applications (Studies in Computational Intelligence, 410) - Hardcover
Synopsis
The book presents some of the most efficient statistical and deterministic methods for information processing and applications in order to extract targeted information and find hidden patterns. The techniques presented range from Bayesian approaches and their variations such as sequential Monte Carlo methods, Markov Chain Monte Carlo filters, Rao Blackwellization, to the biologically inspired paradigm of Neural Networks and decomposition techniques such as Empirical Mode Decomposition, Independent Component Analysis and Singular Spectrum Analysis.
The book is directed to the research students, professors, researchers and practitioners interested in exploring the advanced techniques in intelligent signal processing and data mining paradigms.
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The book presents some of the most efficient statistical and deterministic methods for information processing and applications in order to extract targeted information and find hidden patterns. The techniques presented range from Bayesian approaches and their variations such as sequential Monte Carlo methods, Markov Chain Monte Carlo filters, Rao Blackwellization, to the biologically inspired paradigm of Neural Networks and decomposition techniques such as Empirical Mode Decomposition, Independent Component Analysis and Singular Spectrum Analysis.
The book is directed to the research students, professors, researchers and practitioners interested in exploring the advanced techniques in intelligent signal processing and data mining paradigms.
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Advances in Intelligent Signal Processing and Data Mining : Theory and Applications
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Advances in Intelligent Signal Processing and Data Mining: Theory and Applications (Studies in Computational Intelligence, 410)
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Advances in Intelligent Signal Processing and Data Mining (Hardcover)
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ISBN 13: 9783642286957
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Hardcover. Condition: new. Hardcover. The book presents some of the most efficient statistical and deterministic methods for information processing and applications in order to extract targeted information and find hidden patterns. The techniques presented range from Bayesian approaches and their variations such as sequential Monte Carlo methods, Markov Chain Monte Carlo filters, Rao Blackwellization, to the biologically inspired paradigm of Neural Networks and decomposition techniques such as Empirical Mode Decomposition, Independent Component Analysis and Singular Spectrum Analysis. The book is directed to the research students, professors, researchers and practitioners interested in exploring the advanced techniques in intelligent signal processing and data mining paradigms. With contributions from leading experts in the field, this volume presents the most efficient statistical and deterministic methods for information processing and applications that allow the extraction of targeted data and the discovery of hidden patterns. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9783642286957
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Advances in Intelligent Signal Processing and Data Mining: Theory and Applications (Studies in Computational Intelligence, 410)
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Advances in Intelligent Signal Processing and Data Mining: Theory and Applications (Studies in Computational Intelligence, 410)
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Advances in Intelligent Signal Processing and Data Mining : Theory and Applications
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Advances in Intelligent Signal Processing and Data Mining
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Springer Berlin Heidelberg Jul 2012, 2012
ISBN 10: 364228695X
ISBN 13: 9783642286957
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book presents some of the most efficient statistical and deterministic methods for information processing and applications in order to extract targeted information and find hidden patterns. The techniques presented range from Bayesian approaches and their variations such as sequential Monte Carlo methods, Markov Chain Monte Carlo filters, Rao Blackwellization, to the biologically inspired paradigm of Neural Networks and decomposition techniques such as Empirical Mode Decomposition, Independent Component Analysis and Singular Spectrum Analysis. The book is directed to the research students, professors, researchers and practitioners interested in exploring the advanced techniques in intelligent signal processing and data mining paradigms. 368 pp. Englisch. Seller Inventory # 9783642286957
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Advances in Intelligent Signal Processing and Data Mining
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Springer Berlin Heidelberg, 2012
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ISBN 13: 9783642286957
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Computational Intelligence applied to engineeringLatest research on security and sensor networks in complex engineering systemsWritten by leading experts in the fieldThe book presents some of the most efficient statistical and de. Seller Inventory # 5055656
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Advances in Intelligent Signal Processing and Data Mining
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Springer Berlin Heidelberg, Springer Berlin Heidelberg Jul 2012, 2012
ISBN 10: 364228695X
ISBN 13: 9783642286957
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Buch. Condition: Neu. Neuware -The book presents some of the most efficient statistical and deterministic methods for information processing and applications in order to extract targeted information and find hidden patterns. The techniques presented range from Bayesian approaches and their variations such as sequential Monte Carlo methods, Markov Chain Monte Carlo filters, Rao Blackwellization, to the biologically inspired paradigm of Neural Networks and decomposition techniques such as Empirical Mode Decomposition, Independent Component Analysis and Singular Spectrum Analysis.The book is directed to the research students, professors, researchers and practitioners interested in exploring the advanced techniques in intelligent signal processing and data mining paradigms.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 368 pp. Englisch. Seller Inventory # 9783642286957
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Advances in Intelligent Signal Processing and Data Mining : Theory and Applications
Published by
Springer Berlin Heidelberg, 2012
ISBN 10: 364228695X
ISBN 13: 9783642286957
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Hardcover
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book presents some of the most efficient statistical and deterministic methods for information processing and applications in order to extract targeted information and find hidden patterns. The techniques presented range from Bayesian approaches and their variations such as sequential Monte Carlo methods, Markov Chain Monte Carlo filters, Rao Blackwellization, to the biologically inspired paradigm of Neural Networks and decomposition techniques such as Empirical Mode Decomposition, Independent Component Analysis and Singular Spectrum Analysis. The book is directed to the research students, professors, researchers and practitioners interested in exploring the advanced techniques in intelligent signal processing and data mining paradigms. Seller Inventory # 9783642286957
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