Improved Boosting Algorithms Using Confidence-rated Predictions

Abstract

We describe several improvements to Freund and Schapire's AdaBoost boosting algorithm, particularly in a setting in which hypotheses may assign confidences to each of their predictions. We give a simplified analysis of AdaBoost in this setting, and we show how this analysis can be used to find improved parameter settings as well as a refined criterion for… (More)
DOI: 10.1023/A:1007614523901

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