Fast Cross-Validation for Kernel-Based Algorithms
Cross-validation (CV) is a widely adopted approach for selecting the optimal model. However, the computation of empirical cross-validation error (CVE) has high complexity due to multiple times of learner training. In this paper, we develop a novel approximation theory of CVE and present an approxima...
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Détails bibliographiques
Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 42(2020), 5 vom: 08. Mai, Seite 1083-1096
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Auteur principal: |
Liu, Yong
(Auteur) |
Autres auteurs: |
Liao, Shizhong,
Jiang, Shali,
Ding, Lizhong,
Lin, Hailun,
Wang, Weiping |
Format: | Article en ligne
|
Langue: | English |
Publié: |
2020
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Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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Sujets: | Journal Article |