Least Squares Support Vector Machines.

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This book focuses on Least Squares Support Vector Machines (LS-SVMs) which are reformulations to standard SVMs. LS-SVMs are closely related to regularization networks and Gaussian processes but additionally emphasize and exploit primal-dual interpretations from optimization theory. The authors expla...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Suykens, Johan A. K.
Autres auteurs: Gestel, Tony van, De Brabanter, Jos, De Moor, Bart, Vandewalle, Joos
Format: Électronique eBook
Langue:Inglés
Publié: Singapore : World Scientific Publishing Company, 2002.
Sujets:
Algorithms.
Kernel functions.
Least squares.
Machine learning.
Algorithms
Machine Learning
Algorithmes.
Noyaux (Mathématiques)
Apprentissage automatique.
algorithms.
Kernel functions
Least squares
Machine learning
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