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...
Main Authors: | Huang, Te-Ming (Author), Kecman, Vojislav (Author), Kopriva, Ivica (Author) |
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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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