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» An Anytime Algorithm for Decision Making under Uncertainty
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DAC
2008
ACM
16 years 4 months ago
Stochastic modeling of a thermally-managed multi-core system
Achieving high performance under a peak temperature limit is a first-order concern for VLSI designers. This paper presents a new model of a thermally-managed system, where a stoch...
Hwisung Jung, Peng Rong, Massoud Pedram
146
Voted
IJCAI
2001
15 years 4 months ago
Approximate inference for first-order probabilistic languages
A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
Hanna Pasula, Stuart J. Russell
CONSTRAINTS
2010
116views more  CONSTRAINTS 2010»
15 years 27 days ago
Enabling local computation for partially ordered preferences
Abstract. Many computational problems linked to uncertainty and preference management can be expressed in terms of computing the marginal(s) of a combination of a collection of val...
Hélène Fargier, Emma Rollon, Nic Wil...
140
Voted
AUTOMATICA
2006
152views more  AUTOMATICA 2006»
15 years 3 months ago
Simulation-based optimization of process control policies for inventory management in supply chains
A simulation-based optimization framework involving simultaneous perturbation stochastic approximation (SPSA) is presented as a means for optimally specifying parameters of intern...
Jay D. Schwartz, Wenlin Wang, Daniel E. Rivera
145
Voted
ICTAI
2010
IEEE
15 years 1 months ago
A Closer Look at MOMDPs
Abstract--The difficulties encountered in sequential decisionmaking problems under uncertainty are often linked to the large size of the state space. Exploiting the structure of th...
Mauricio Araya-López, Vincent Thomas, Olivi...