3668 search results - page 380 / 734 » Margin Distribution and Learning |
171
click to vote
COGSR
2011
15 years 1 months ago
2011
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
209
click to vote
JMLR
2010
15 years 1 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
225
click to vote
JMLR
2012
13 years 9 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...
153
click to vote
ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Consider Alice, who is interacting with Bob. Alice and Bob have some shared secret which helps Alice identify Bob-impersonators. Now consider Eve, who knows Alice and Bob, but doe...
159
click to vote
FOCS
2009
IEEE
16 years 1 months ago
2009
IEEE
— We prove the following strong hardness result for learning: Given a distribution on labeled examples from the hypercube such that there exists a monomial (or conjunction) consi...