Advances in large margin classifiers /

The concept of large margins is a unifying principle for the analysis of many different approaches to the classification of data from examples, including boosting, mathematical programming, neural networks, and support vector machines. The fact that it is the margin, or confidence level, of a classi...

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Dades bibliogràfiques
Altres autors: Smola, Alexander J.
Format: Licensed eBooks
Idioma:anglès
Publicat: Cambridge, Mass. : MIT Press, ©2000.
Col·lecció:Neural information processing series.
Accés en línia:https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=138583