L2 kernel classification
Nonparametric kernel methods are widely used and proven to be successful in many statistical learning problems. Well-known examples include the kernel density estimate (KDE) for density estimation and the support vector machine (SVM) for classification. We propose a kernel classifier that optimizes...
Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 32(2010), 10 vom: 01. Okt., Seite 1822-31 |
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Format: | Online-Aufsatz |
Sprache: | English |
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2010
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Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence |
Schlagworte: | Journal Article Research Support, U.S. Gov't, Non-P.H.S. |
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