Search Results for author: Francesco Strino

Found 1 papers, 0 papers with code

Ranking and combining multiple predictors without labeled data

no code implementations13 Mar 2013 Fabio Parisi, Francesco Strino, Boaz Nadler, Yuval Kluger

This scenario is different from the standard supervised setting, where each classifier accuracy can be assessed using available labeled data, and raises two questions: given only the predictions of several classifiers over a large set of unlabeled test data, is it possible to a) reliably rank them; and b) construct a meta-classifier more accurate than most classifiers in the ensemble?

Decision Making

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