Learning With Asymmetric Kernels : Least Squares and Feature Interpretation
Asymmetric kernels naturally exist in real life, e.g., for conditional probability and directed graphs. However, most of the existing kernel-based learning methods require kernels to be symmetric, which prevents the use of asymmetric kernels. This paper addresses the asymmetric kernel-based learning...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 8 vom: 15. Aug., Seite 10044-10054
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| Auteur principal: |
He, Mingzhen
(Auteur) |
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| Autres auteurs: |
He, Fan,
Shi, Lei,
Huang, Xiaolin,
Suykens, Johan A K |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2023
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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