ENGLISH

Advances in Intelligent Signal Processing and Data Mining: Theory and Applications

By Lakhmi C Jain (eds.) , Lyudmila Mihaylova , Petia Georgieva (auth.) , Petia Georgieva

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2013
ISBN
978-3-642-28695-7, 978-3-642-28696-4
DOI
10.1007/978-3-642-28696-4
Language
english
Format
PDF
Filesize
19 MB (19589096 bytes)
Series
Studies in Computational Intelligence 410
Edition
1
Pages
354\358
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Engineeringgeneral; Artificial Intelligence (incl. Robotics)

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.

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