Advances in large margin classifiers / edited by Alexander J. Smola [and others].

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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Bibliographic Details
Other Authors: Smola, Alexander J.
Format: eBook
Language:English
Published: Cambridge, Mass. : MIT Press, ©2000.
Series:Neural information processing series.
Subjects:
Online Access:Click for online access