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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Schölkopf, Bernhard
Otros Autores: Smola, Alexander J.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, Mass. : MIT Press, ©2002.
Colección:Adaptive computation and machine learning.
Temas:
Acceso en línea:Texto completo