272 search results - page 43 / 55 » Parallel Reinforcement Learning with Linear Function Approxi... |
PPSN
2004
Springer
14 years 2 months ago
2004
Springer
A scalable architecture to facilitate emergent (self-organized) task decomposition using neural networks and evolutionary algorithms is presented. Various control system architectu...
UAI
2008
13 years 10 months ago
2008
Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, be...
PKDD
2010
Springer
13 years 6 months ago
2010
Springer
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
The choice of the kernel function which determines the mapping between the input space and the feature space is of crucial importance to kernel methods. The past few years have se...
COLT
2003
Springer
14 years 2 months ago
2003
Springer
Recent work has introduced Boolean kernels with which one can learn linear threshold functions over a feature space containing all conjunctions of length up to k (for any 1 ≤ k ...