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...

Cijeli opis

Spremljeno u:
Bibliografski detalji
Daljnji autori: Georgieva, Petia (Voditelj izdanja), Mihaylova, Lyudmila, 1965- (Voditelj izdanja), Jain, Lakhmi C., 1946- (Voditelj izdanja)
Format: Livre numérique
Jezik:Anglais
Izdano: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Izdanje:1st ed. 2013.
Serija:Studies in Computational Intelligence 410
Online pristup:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Bilješka: 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
Opis
Sažetak: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. 
Opis djela:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783642286964
ISSN:1860-9503
Pristup:Accès en ligne pour les établissements français bénéficiaires des licences nationales
Accès soumis à abonnement pour tout autre établissement
Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017