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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Bibliografiske detaljer
Andre forfattere: Smola, Alexander J.
Format: Licensed eBooks
Sprog:engelsk
Udgivet: Cambridge, Mass. : MIT Press, ©2000.
Serier:Neural information processing series.
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