537 search results - page 36 / 108 » On Using Monte Carlo Methods for Scheduling |
CSDA
2010
13 years 9 months ago
2010
Recently developed adaptive Markov chain Monte Carlo (MCMC) methods have been applied successfully to many problems in Bayesian statistics. Grapham is a new open source implementat...
CP
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. In this paper we consider the problem of computing the density of states of a Boolean formula in CNF, a generalization of both MAX-SAT and model counting. Given a Boolean...
ICRA
2002
IEEE
14 years 1 months ago
2002
IEEE
This paper introduces a modular modeling approach for distributed production systems, considering production and maintenance processes synchronization. Thus, production job shop, p...
ICCV
1999
IEEE
14 years 1 months ago
1999
IEEE
:We formulate structure from motion as a Bayesian inference problem, and use a Markov chain Monte Carlo sampler to sample the posterior on this problem. This results in a method th...
CVIU
2006
13 years 8 months ago
2006
We explore an approach to 3D people tracking with learned motion models and deterministic optimization. The tracking problem is formulated as the minimization of a differentiable ...