Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, And Unsupervised Learning - Couverture rigide

Huang, Te-Ming; Kecman, Vojislav; Kopriva, Ivica

 
9783540316817: Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, And Unsupervised Learning

Synopsis

This 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 using support vector machines (SVMs) in an iterative way. It demonstrates how kernel based SVMs can be used for dimensionality reduction and shows the similarities and differences between the two most popular unsupervised techniques.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

This 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 using support vector machines (SVMs) in an iterative way. It demonstrates how kernel based SVMs can be used for dimensionality reduction and shows the similarities and differences between the two most popular unsupervised techniques.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9783642068560: Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning

Edition présentée

ISBN 10 :  3642068561 ISBN 13 :  9783642068560
Editeur : Springer, 2010
Couverture souple