Studies in Computational Intelligence: Theory and Applications

Georgieva, Petia; Mihaylova, Lyudmila; Jain, Lakhmi C

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.

Details

Published by: Springer

Publication Date: 2012-07-27

Format: Hardcover

ISBN-13: 9783642286957

DOI: 10.1007/978-3-642-28696-4

Dimensions: 235cm x155cm

Pages: 354