Title:
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ADVANCES IN INTELLIGENT SIGNAL PROCESSING AND DATA MINING
THEORY AND APPLICATIONS |
By: |
Petia Georgieva (Editor), Lyudmila S. Mihaylova (Editor), Prof. Lakhmi C. Jain (Editor) |
Format: |
Paperback |
List price:
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£109.99 |
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ISBN 10: |
3642439802 |
ISBN 13: |
9783642439803 |
Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
Pub. date: |
9 August, 2014 |
Edition: |
2013 ed. |
Series: |
Studies in Computational Intelligence 410 |
Pages: |
354 |
Description: |
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. |
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. |
Illustrations: |
biography |
Publication: |
Germany |
Imprint: |
Springer-Verlag Berlin and Heidelberg GmbH & Co. K |
Returns: |
Returnable |