212 search results - page 27 / 43 » A Gibbs distribution that learns from GA dynamics |
PASTE
2010
ACM
14 years 27 days ago
2010
ACM
Recently there has been significant interest in employing probabilistic techniques for fault localization. Using dynamic dependence information for multiple passing runs, learnin...
ATAL
2007
Springer
14 years 2 months ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
UMUAI
1998
13 years 7 months ago
1998
We present an approach to keyhole plan recognition which uses a dynamic belief (Bayesian) network to represent features of the domain that are needed to identify users’ plans and...
SASO
2008
IEEE
14 years 2 months ago
2008
IEEE
In the DEZENT1 project we had established a distributed base model for negotiating electric power from widely distributed (renewable) power sources on multiple levels in successio...
LCPC
2007
Springer
14 years 2 months ago
2007
Springer
Program dynamic optimization, adaptive to runtime behavior changes, has become increasingly important for both performance and energy savings. However, most runtime optimizations o...