197 search results - page 19 / 40 » Complexity of Max-SAT using stochastic algorithms |
141
Voted
ICDCS
2010
IEEE
15 years 5 months ago
2010
IEEE
—We propose a steepest descent method to compute optimal control parameters for balancing between multiple performance objectives in stateless stochastic scheduling, wherein the ...
109
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CVPR
2004
IEEE
16 years 3 months ago
2004
IEEE
Edges in man-made environments, grouped according to vanishing point directions, provide single-view constraints that have been exploited before as a precursor to both scene under...
117
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GECCO
2008
Springer
15 years 3 months ago
2008
Springer
Genetic algorithms (GAs) used in complex optimization domains usually need to perform a large number of fitness function evaluations in order to get near-optimal solutions. In rea...
158
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UAI
1997
15 years 3 months ago
1997
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
97
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MDM
2004
Springer
15 years 7 months ago
2004
Springer
In this paper, we consider a data model for uncertain trajectories of moving objects. In our model, the trajectory is a vector of uniform stochastic processes. We study “univers...