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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| フォーマット: | Licensed eBooks |
| 言語: | 英語 |
| 出版事項: |
Cambridge, Mass. :
MIT Press,
©2000.
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| シリーズ: | Neural information processing series.
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| オンライン･アクセス: | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=138583 |