Efficient sparse kernel feature extraction based on partial least squares
The presence of irrelevant features in training data is a significant obstacle for many machine learning tasks. One approach to this problem is to extract appropriate features and, often, one selects a feature extraction method based on the inference algorithm. Here, we formalize a general framework...
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1998. - 31(2009), 8 vom: 21. Aug., Seite 1347-61 |
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| Auteur principal: | |
| Autres auteurs: | , |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2009
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence |
| Sujets: | Journal Article |
| Accès en ligne |
Volltext |