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...
Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1998. - 31(2009), 6 vom: 12. Juni, Seite 1140-6 |
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Format: | Online-Aufsatz |
Sprache: | English |
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2009
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Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence |
Schlagworte: | Journal Article |
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