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GECCO
2008
Springer
142views Optimization» more  GECCO 2008»
13 years 8 months ago
Complexity of Max-SAT using stochastic algorithms
Hill-climbing has been shown to be more effective than exhaustive search in solving satisfiability problems.Also, it has been used either by itself or in combination with other ...
Mohamed Qasem, Adam Prügel-Bennett
IJCM
2008
62views more  IJCM 2008»
13 years 7 months ago
Stochastic simulation of HIV population dynamics through complex network modelling
Peter M. A. Sloot, Sergey V. Ivanov, Alexander Bou...
ICML
2007
IEEE
14 years 8 months ago
Asymptotic Bayesian generalization error when training and test distributions are different
In supervised learning, we commonly assume that training and test data are sampled from the same distribution. However, this assumption can be violated in practice and then standa...
Keisuke Yamazaki, Klaus-Robert Müller, Masash...
IJCAI
2001
13 years 9 months ago
Rational and Convergent Learning in Stochastic Games
This paper investigates the problem of policy learning in multiagent environments using the stochastic game framework, which we briefly overview. We introduce two properties as de...
Michael H. Bowling, Manuela M. Veloso