225,17 €
250,19 €
-10% with code: EXTRA
Kernel Based Algorithms for Mining Huge Data Sets
Kernel Based Algorithms for Mining Huge Data Sets
225,17
250,19 €
  • We will send in 10–14 business 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.
  • Publisher:
  • ISBN-10: 3642068561
  • ISBN-13: 9783642068560
  • Format: 15.6 x 23.4 x 1.5 cm, softcover
  • Language: English
  • SAVE -10% with code: EXTRA

Kernel Based Algorithms for Mining Huge Data Sets (e-book) (used book) | bookbook.eu

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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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  • Author: Te-Ming Huang
  • Publisher:
  • ISBN-10: 3642068561
  • ISBN-13: 9783642068560
  • Format: 15.6 x 23.4 x 1.5 cm, softcover
  • Language: English English

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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