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Large-Margin thresholded ensembles for ordinal regression: theory and practice

ALT, (2006): 319-333

Cited by: 59|Views114
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Abstract

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. We derive novel large-margin bounds of common error functions, such as the classification error and the absolute error. In addition to some existing algorithms, we ...More

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