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» Applying Monte Carlo Techniques to Language Identification
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IJCAI
2001
15 years 1 months ago
Approximate inference for first-order probabilistic languages
A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
Hanna Pasula, Stuart J. Russell
SIGGRAPH
1992
ACM
15 years 3 months ago
Predicting reflectance functions from complex surfaces
We describe a physically-based Monte Carlo technique for approximating bidirectional reflectance distribution functions (BRDFs) for a large class of geometries by directly simulat...
Stephen H. Westin, James Arvo, Kenneth E. Torrance
KI
2011
Springer
14 years 6 months ago
Centurio, a General Game Player: Parallel, Java- and ASP-based
Abstract We present the General Game Playing system Centurio. Centurio is a Java-based player featuring different strategies based on Monte Carlo Tree Search extended by technique...
Maximilian Möller, Marius Thomas Schneider, M...
88
Voted
CCE
2004
14 years 11 months ago
Improving convergence of the stochastic decomposition algorithm by using an efficient sampling technique
This work focuses on the basic stochastic decomposition (SD) algorithm of Higle and Sen [J.L. Higle, S. Sen, Stochastic Decomposition, Kluwer Academic Publishers, 1996] for two-st...
José María Ponce-Ortega, Vicente Ric...
100
Voted
ICCS
2007
Springer
15 years 5 months ago
Modeling of Carrier Transport in Nanowires
Abstract. We consider a physical model of ultrafast evolution of an initial electron distribution in a quantum wire. The electron evolution is described by a quantum-kinetic equati...
Todor V. Gurov, Emanouil I. Atanassov, Mihail Nedj...