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» Applying Monte Carlo Techniques to Language Identification
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IJCAI
2001
14 years 10 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 1 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 4 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...
CCE
2004
14 years 9 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...
ICCS
2007
Springer
15 years 3 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...