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L(2)-norm multiple kernel learning and its application to biomedical data fusion
BACKGROUND: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields different extensions of multiple kernel learning (MKL) such as L(∞), L(1), and L(2 )MKL. In particular, L(2 )MKL is a novel m...
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| 主要な著者: | , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2010
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2906488/ https://ncbi.nlm.nih.gov/pubmed/20529363 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-11-309 |
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