A unified feature and instance selection framework using optimum experimental design
The goal of feature selection is to identify the most informative features for compact representation, whereas the goal of active learning is to select the most informative instances for prediction. Previous studies separately address these two problems, despite of the fact that selecting features a...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 21(2012), 5 vom: 01. Mai, Seite 2379-88
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| 1. Verfasser: |
Zhang, Lijun
(VerfasserIn) |
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| Weitere Verfasser: |
Chen, Chun,
Bu, Jiajun,
He, Xiaofei |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2012
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article
Research Support, U.S. Gov't, Non-P.H.S. |
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