Learning with kernels : support vector machines, regularization, optimization, and beyond /
In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically elegant learning machines that use a central concept of SVMs -- -kernels--for a number of learning tasks....
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Full text (MCPHS users only) |
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| Main Author: | |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge, Mass. :
MIT Press,
2002
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| Series: | Adaptive computation and machine learning.
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| Subjects: | |
| Local Note: | ProQuest Ebook Central |
