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Advances in Intelligent Signal Processing and Data Mining

Theory and Applications

Springer Berlin,
Buch
197,94 € Lieferbar in 2-3 Tagen
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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.

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Hauptbeschreibung

Titel: Advances in Intelligent Signal Processing and Data Mining
Autoren/Herausgeber: Petia Georgieva, Lyudmila Mihaylova, Lakhmi C. Jain (Hrsg.)
Aus der Reihe: Studies in Computational Intelligence
Ausgabe: 2013

ISBN/EAN: 9783642286957

Seitenzahl: 354
Format: 23,5 x 15,5 cm
Produktform: Hardcover/Gebunden
Gewicht: 713 g
Sprache: Englisch

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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