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On Multilabel Classification and Ranking with Partial Feedback
Published on Jan 14, 20132671 Views
We present a novel multilabel/ranking algorithm working in partial information settings. The algorithm is based on 2nd-order descent methods, and relies on upper-confidence bounds to trade-off explora
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On Multilabel Classification and Ranking with Partial Feedback00:00
Cost sensitive, hamming, and ranking loss00:51
The probability to click on a banner is given by a Generalized Linear Model02:02
Experiments: performance comparable to full-information02:56