Learning with kernels : support vector machines, regularization, optimization, and beyond /

In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically elegant learning machines that use a central concept of SVMs -- -kernels--for a number of learning tasks....

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Schölkopf, Bernhard
Autres auteurs: Smola, Alexander J.
Format: Électronique eBook
Langue:Inglés
Publié: Cambridge, Mass. : MIT Press, ©2002.
Collection:Adaptive computation and machine learning.
Sujets:
Machine learning.
Algorithms.
Kernel functions.
Algorithms
Machine Learning
Apprentissage automatique.
Algorithmes.
Noyaux (Mathématiques)
algorithms.
COMPUTERS > Enterprise Applications > Business Intelligence Tools.
COMPUTERS > Intelligence (AI) & Semantics.
Kernel functions
Machine learning
Machine-learning.
Vectorcomputers.
COMPUTER SCIENCE/Machine Learning & Neural Networks
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