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Kernel Based Algorithms for Mining Huge Data Sets

Kernel Based Algorithms for Mining Huge Data Sets

Ivica Kopriva / Te-Ming Huang / Vojislav Kecman

255,73 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2010
Materia
Ingeniería: general
ISBN:
9783642068560
255,73 €
IVA incluido
Disponible

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Sobre IBD

Support Vector Machines in Classification and Regression - An Introduction.- Iterative Single Data Algorithm for Kernel Machines from Huge Data Sets: Theory and Performance.- Feature Reduction with Support Vector Machines and Application in DNA Microarray Analysis.- Semi-supervised Learning and Applications.- Unsupervised Learning by Principal and Independent Component Analysis.

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Otros libros del autor

  • Kernel Based Algorithms for Mining Huge Data Sets
    Ivica Kopriva / Te-Ming Huang / Vojislav Kecman
    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 s...