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AIPS
2003
15 years 8 months ago
A Framework for Planning in Continuous-time Stochastic Domains
We propose a framework for policy generation in continuoustime stochastic domains with concurrent actions and events of uncertain duration. We make no assumptions regarding the co...
Håkan L. S. Younes, David J. Musliner, Reid ...
ACL
1994
15 years 7 months ago
Precise N-Gram Probabilities from Stochastic Context-Free Grammars
We present an algorithm for computing n-gram probabilities from stochastic context-free grammars, a procedure that can alleviate some of the standard problems associated with n-gr...
Andreas Stolcke, Jonathan Segal
JVCA
2010
105views more  JVCA 2010»
15 years 5 months ago
Conditional stochastic simulation for character animation
In a context of interactive applications, adapting motion capture data to new situations or producing variants of them are known as non trivial tasks. We propose an original metho...
N. Courty, Anne Cuzol
GECCO
2005
Springer
288views Optimization» more  GECCO 2005»
16 years 1 days ago
A comparison study between genetic algorithms and bayesian optimize algorithms by novel indices
Genetic Algorithms (GAs) are a search and optimization technique based on the mechanism of evolution. Recently, another sort of population-based optimization method called Estimat...
Naoki Mori, Masayuki Takeda, Keinosuke Matsumoto
CORR
2006
Springer
99views Education» more  CORR 2006»
15 years 6 months ago
Rational stochastic languages
In probabilistic grammatical inference, a usual goal is to infer a good approximation of an unknown distribution P called a stochastic language. The estimate of P stands in some cl...
François Denis, Yann Esposito