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» A Guided Monte Carlo Approach to Optimization Problems
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NCA
2006
IEEE
14 years 10 months ago
Open-loop regulation and tracking control based on a genealogical decision tree
The goal of this paper is to design a new control algorithm for open-loop control of complex systems. This control approach is based on a genealogical decision tree for both regula...
Kaddour Najim, Enso Ikonen, P. Del Moral
JCST
2010
139views more  JCST 2010»
14 years 8 months ago
Dirichlet Process Gaussian Mixture Models: Choice of the Base Distribution
In the Bayesian mixture modeling framework it is possible to infer the necessary number of components to model the data and therefore it is unnecessary to explicitly restrict the n...
Dilan Görür, Carl Edward Rasmussen
CP
2003
Springer
15 years 3 months ago
Using Constraint Programming to Solve the Maximum Clique Problem
This paper aims to show that Constraint Programming can be an efficient technique to solve a well-known combinatorial optimization problem: the search for a maximum clique in a gra...
Jean-Charles Régin
71
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AAAI
2010
14 years 11 months ago
Learning Simulation Control in General Game-Playing Agents
The aim of General Game Playing (GGP) is to create intelligent agents that can automatically learn how to play many different games at an expert level without any human interventi...
Hilmar Finnsson, Yngvi Björnsson
WSC
2007
15 years 9 days ago
Transformations for accelerating MCMC simulations with broken ergodicity
A new approach for overcoming broken ergodicity in Markov Chain Monte Carlo (MCMC) simulations of complex systems is described. The problem of broken ergodicity is often present i...
Mark Fleischer