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Springer Advances in Intelligent Signal Processing and Data Mining: Theory and Applications: 410 (Studies in Computational Intelligence, 410)

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Description

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.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
09 August 2014
Listed Since
09 August 2014

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