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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| Format: | eBook |
| Language: | English |
| Published: |
Cambridge, Mass. :
MIT Press,
©2000.
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| Series: | Advances in neural information processing systems [i.e. Neural information processing series]
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
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