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» Computational complexity of stochastic programming problems
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88
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GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
15 years 6 months ago
Hierarchical genetic programming based on test input subsets
Crucial to the more widespread use of evolutionary computation techniques is the ability to scale up to handle complex problems. In the field of genetic programming, a number of d...
David Jackson
CDC
2009
IEEE
151views Control Systems» more  CDC 2009»
15 years 5 months ago
Shortest path optimization under limited information
— The problem of finding an optimal path in an uncertain graph arises in numerous applications, including network routing, path-planning for vehicles, and the control of finite...
Michael Rinehart, Munther A. Dahleh
93
Voted
AAAI
2007
15 years 2 months ago
Anytime Coordination Using Separable Bilinear Programs
Developing scalable coordination algorithms for multi-agent systems is a hard computational challenge. One useful approach, demonstrated by the Coverage Set Algorithm (CSA), explo...
Marek Petrik, Shlomo Zilberstein
109
Voted
CVPR
2007
IEEE
15 years 7 months ago
A Graph Reduction Method for 2D Snake Problems
Energy-minimizing active contour models (snakes) have been proposed for solving many computer vision problems such as object segmentation, surface reconstruction, and object track...
Jianhua Yan, Keqi Zhang, Chengcui Zhang, Shu-Ching...
LPNMR
2005
Springer
15 years 6 months ago
Revisiting the Semantics of Interval Probabilistic Logic Programs
Two approaches to logic programming with probabilities emerged over time: bayesian reasoning and probabilistic satisfiability (PSAT). The attractiveness of the former is in tying ...
Alex Dekhtyar, Michael I. Dekhtyar