3643 search results - page 165 / 729 » Learning Submodular Functions |
195
click to vote
TSMC
2010
15 years 1 months ago
2010
The cellular learning automaton (CLA), which is a4 combination of cellular automaton (CA) and learning automaton5 (LA), is introduced recently. This model is superior to CA because...
181
click to vote
COCO
2001
Springer
15 years 11 months ago
2001
Springer
Motivated by recent work on quantum black-box query complexity, we consider quantum versions of two wellstudied models of learning Boolean functions: Angluin’s model of exact le...
218
click to vote
ECML
2006
Springer
15 years 10 months ago
2006
Springer
We target the problem of closed-loop learning of control policies that map visual percepts to continuous actions. Our algorithm, called Reinforcement Learning of Joint Classes (RLJ...
184
click to vote
CVPR
2000
IEEE
16 years 8 months ago
2000
IEEE
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
152
Voted
ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
An important issue in reinforcement learning is how to incorporate expert knowledge in a principled manner, especially as we scale up to real-world tasks. In this paper, we presen...