2204 search results - page 10 / 441 » Agnostic active learning |
JMLR
2006
14 years 11 months ago
2006
Fast and frugal heuristics are well studied models of bounded rationality. Psychological research has proposed the take-the-best heuristic as a successful strategy in decision mak...
FOCS
2009
IEEE
14 years 9 months ago
2009
IEEE
We give a new model of learning motivated by smoothed analysis (Spielman and Teng, 2001). In this model, we analyze two new algorithms, for PAC-learning DNFs and agnostically learn...
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JMLR
2012
13 years 2 months ago
2012
Contextual bandit learning is a reinforcement learning problem where the learner repeatedly receives a set of features (context), takes an action and receives a reward based on th...
ACL
2008
15 years 1 months ago
2008
Active learning is a machine learning approach to achieving high-accuracy with a small amount of labels by letting the learning algorithm choose instances to be labeled. Most of p...
COLT
2007
Springer
15 years 6 months ago
2007
Springer
