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