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» A splitting method for stochastic programs
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ACL
1998
13 years 9 months ago
Optimal Multi-Paragraph Text Segmentation by Dynamic Programming
There exist several methods of calculating a similarity curve, or a sequence of similarity values, representing the lexical cohesion of successive text constituents, e.g., paragra...
Oskari Heinonen
AAAI
1997
13 years 9 months ago
Effective Bayesian Inference for Stochastic Programs
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
Daphne Koller, David A. McAllester, Avi Pfeffer
AI
2000
Springer
13 years 7 months ago
Stochastic dynamic programming with factored representations
Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
Craig Boutilier, Richard Dearden, Moisés Go...
EOR
2010
149views more  EOR 2010»
13 years 7 months ago
Adaptive multicut aggregation for two-stage stochastic linear programs with recourse
Outer linearization methods for two-stage stochastic linear programs with recourse, such as the L-shaped algorithm, generally apply a single optimality cut on the nonlinear object...
Svyatoslav Trukhanov, Lewis Ntaimo, Andrew Schaefe...
IOR
2010
98views more  IOR 2010»
13 years 4 months ago
A Shadow Simplex Method for Infinite Linear Programs
We present a Simplex-type algorithm, that is, an algorithm that moves from one extreme point of the infinite-dimensional feasible region to another not necessarily adjacent extrem...
Archis Ghate, Dushyant Sharma, Robert L. Smith