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Kernel Based Algorithms for Mining Huge Data Sets - Supervised, Semi-supervised, and Unsupervised Learning (Hardcover, 2006... Kernel Based Algorithms for Mining Huge Data Sets - Supervised, Semi-supervised, and Unsupervised Learning (Hardcover, 2006 ed.)
Te-Ming Huang, Vojislav Kecman, Ivica Kopriva
R3,034 Discovery Miles 30 340 Ships in 10 - 15 working days

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.

Kernel Based Algorithms for Mining Huge Data Sets - Supervised, Semi-supervised, and Unsupervised Learning (Paperback,... Kernel Based Algorithms for Mining Huge Data Sets - Supervised, Semi-supervised, and Unsupervised Learning (Paperback, Softcover reprint of hardcover 1st ed. 2006)
Te-Ming Huang, Vojislav Kecman, Ivica Kopriva
R2,927 Discovery Miles 29 270 Ships in 10 - 15 working days

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.

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