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Rule extraction from support vector machines
Support vector machines (SVMs) are one of the most active research areas in machine learning. SVMs have shown good performance in a number of applications, including text and image classification. However, the learning capability of SVMs comes at a cost – an inherent inability to explain in a compre...
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| Autor principal: | |
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| Formato: | Livro |
| Idioma: | Inglês |
| Publicado em: |
Springer Berlin Heidelberg,
2008
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| Colecção: | Studies in Computational Intelligence, |
| Assuntos: | |
| Acesso em linha: | https://minerva.ufrj.br/F/?func=direct&doc_number=000898891&local_base=UFR01 |
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