146 citations · 254 across the 22 of their papers we have counts for
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cs.LG2015★ 146 cited
Learn on Source, Refine on Target:A Model Transfer Learning Framework with Random Forests
Noam Segev, Maayan Harel, Shie Mannor +2
We propose novel model transfer-learning methods that refine a decision forest model M learned within a "source" domain using a training set sampled from a "target" domain, assumed…
cs.LG2015
CONQUER: Confusion Queried Online Bandit Learning
Daniel Barsky, Koby Crammer
We present a new recommendation setting for picking out two items from a given set to be highlighted to a user, based on contextual input. These two items are presented to a user w…