Geometry-based ensembles : toward a structural characterization of the classification boundary
This paper introduces a novel binary discriminative learning technique based on the approximation of the nonlinear decision boundary by a piecewise linear smooth additive model. The decision border is geometrically defined by means of the characterizing boundary points-points that belong to the opti...
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 31(2009), 6 vom: 12. Juni, Seite 1140-6 |
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| 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 |