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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Bibliographic Details

Other Authors:	Smola, Alexander J.
Format:	eBook
Language:	English
Published:	Cambridge, Mass. : MIT Press, ©2000.
Series:	Advances in neural information processing systems [i.e. Neural information processing series]
Subjects:	Machine learning. Algorithms. Kernel functions. COMPUTER SCIENCE/General Electronic books.
Online Access:	Connect to the full text of this electronic book