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.
| ISBN: | 9783642439803 |
| Publication date: | 9th August 2014 |
| Author: | Petia Georgieva, Lyudmila Mihaylova, Lakhmi C Jain |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 354 pages |
| Series: | Studies in Computational Intelligence |
| Genres: |
Engineering: general Artificial intelligence |