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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Bibliographic Details
Main Authors: Huang, Te-Ming (Author), Kecman, Vojislav (Author), Kopriva, Ivica (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
Series:Studies in Computational Intelligence, 17
Subjects:
Online Access:Full Text via HEAL-Link

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