Advances in intelligent signal processing and data mining : theory and applications
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 Carl...
Guardat en:
| Altres autors: | , , |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2013. |
| Col·lecció: | Studies in Computational Intelligence
410 |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Advances in intelligent signal processing and data mining, theory and applications, Petia Georgieva, Lyudmila Mihaylova, Lakhmi C. Jain, 2013, Berlin, Springer, 1 vol. (XIII-349 p.), Studies in computational intelligence, 978-3-642-28695-7 • Advances in Intelligent Signal Processing and Data Mining, Texte imprimé, 9783642286971 • Advances in Intelligent Signal Processing and Data Mining, Texte imprimé, 9783642439803 • Advances in intelligent signal processing and data mining, theory and applications, Petia Georgieva, Lyudmila Mihaylova, Lakhmi C. Jain, 2013, Berlin, Springer, 1 vol. (XIII-349 p.), Studies in computational intelligence, 978-3-642-28695-7 |
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| 245 | 0 | 0 | |a Advances in intelligent signal processing and data mining : |b theory and applications |c edited by Petia Georgieva, Lyudmila Mihaylova, Lakhmi C Jain. |
| 250 | |a 1st ed. 2013. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 410 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a From the content: Introduction to Intelligent Signal Processing and Data Mining Monte Carlo-Based Bayesian Group Object Tracking and Causal Reasoning A Sequential Monte Carlo Method for Multi-Target Tracking with the Intensity Filter Sequential Monte Carlo Methods for Localisation inWireless Networks A Sequential Monte Carlo Approach for Brain Source Localization | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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. | ||
| 700 | 1 | |a Georgieva, Petia. |4 pbd | |
| 700 | 1 | |a Mihaylova, Lyudmila, |d 1965- |4 pbd | |
| 700 | 1 | |a Jain, Lakhmi C., |d 1946- |4 pbd | |
| 776 | 0 | |0 169078337 |t Advances in intelligent signal processing and data mining |o theory and applications |f Petia Georgieva |f Lyudmila Mihaylova |f Lakhmi C. Jain |d 2013 |c Berlin |n Springer |p 1 vol. (XIII-349 p.) |s Studies in computational intelligence |z 978-3-642-28695-7 | |
| 776 | 0 | |t Advances in Intelligent Signal Processing and Data Mining |b Texte imprimé |z 9783642286971 | |
| 776 | 0 | |t Advances in Intelligent Signal Processing and Data Mining |b Texte imprimé |z 9783642439803 | |
| 776 | 0 | |0 169078337 |t Advances in intelligent signal processing and data mining |o theory and applications |f Petia Georgieva |f Lyudmila Mihaylova |f Lakhmi C. Jain |d 2013 |c Berlin |n Springer |p 1 vol. (XIII-349 p.) |s Studies in computational intelligence |z 978-3-642-28695-7 | |
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