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Large-Margin Thresholded Ensembles for Ordinal Regression
Published on Feb 25, 20077185 Views
We propose a thresholded ensemble model for ordinal regression problems. The model consists of a weighted ensemble of confidence functions and an ordered vector of thresholds. Using such a model, we c
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Large-Margin Thresholded Ensembles for Ordinal Regression00:05
Reduction Method00:44
Reduction Method0101:21
Reduction Method0201:53
Reduction Method0302:16
Ordinal Regression02:24
Ordinal Regression0102:39
Ordinal Regression0202:45
Ordinal Regression0302:51
Ordinal Regression0402:57
Ordinal Regression0503:05
Ordinal Regression0603:14
Ordinal Regression0703:21
Ordinal Regression0803:28
Ordinal Regression0903:40
Ordinal Regression1003:56
Properties of Ordinal Regression04:08
Properties of Ordinal Regression0104:30
Properties of Ordinal Regression0204:49
Properties of Ordinal Regression0305:07
Properties of Ordinal Regression0405:22
Thresholded Model for Ordinal Regression05:35
Thresholded Model for Ordinal Regression0106:00
Thresholded Model for Ordinal Regression0206:18
Thresholded Model for Ordinal Regression0306:31
Thresholded Model for Ordinal Regression0407:10
Thresholded Ensemble Model07:36
Thresholded Ensemble Model0107:54
Thresholded Ensemble Model0208:05
Thresholded Ensemble Model0308:19
Thresholded Ensemble Model0408:30
Thresholded Ensemble Model0508:39
Margins of Thresholded Ensembles08:48
Margins of Thresholded Ensembles0109:15
Margins of Thresholded Ensembles0209:30
Theoretical Reduction09:53
Theoretical Reduction0110:41
Theoretical Reduction0211:19
Theoretical Reduction0311:44
Algorithmic Reduction11:51
Algorithmic Reduction0112:32
Algorithmic Reduction0212:54
Advantages of ORBoost13:00
Advantages of ORBoost0113:16
Advantages of ORBoost0213:43
Advantages of ORBoost0313:51
ORBoost Experiments13:59
ORBoost Experiments0114:57
ORBoost Experiments0215:41
Conclusion15:49
Conclusion0116:11
Conclusion0216:25
Conclusion0316:36