Kernel based algorithms for mining huge data sets : :: SCD d'Orléans

Kernel based algorithms for mining huge data sets : supervised, semi-supervised, and unsupervised learning

Kernel based algorithms for mining huge data sets : supervised, semi-supervised, and unsupervised learning

"Kernel Based Algorithms for Mining Huge Data Sets" is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets by using support vector machines (SVMs) in...

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Dades bibliogràfiques
Autors principals:	Huang, Te-Ming, Kecman, Vojislav, 1948- (Autor), Kopriva, Ivica (Autor)
Format:	Livre numérique
Idioma:	Anglais
Publicat:	Berlin, Heidelberg : Springer Berlin Heidelberg 2006. Cham : Springer Nature
Col·lecció:	Studies in Computational Intelligence 17
Matèries:	Reconnaissance des formes (informatique)
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:	• Kernel Based Algorithms for Mining Huge Data Sets, Texte imprimé, 9783642068560 • Kernel Based Algorithms for Mining Huge Data Sets, Texte imprimé, 9783540819974 • Kernel Based Algorithms for Mining Huge Data Sets, Texte imprimé, 9783540316817

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