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» Variable Selection for Optimal Decision Making
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DATE
2008
IEEE
101views Hardware» more  DATE 2008»
14 years 3 months ago
Resilient Dynamic Power Management under Uncertainty
With the increasing levels of variability and randomness in the characteristics and behavior of manufactured nanoscale structures and devices, achieving performance optimization u...
Hwisung Jung, Massoud Pedram
HICSS
2011
IEEE
157views Biometrics» more  HICSS 2011»
13 years 10 days ago
Reusing Relational Queries for Intuitive Decision Optimization
— Decision optimization is used in many applications such as those for finding the best course of action in emergencies. However, optimization solutions require considerable mat...
Alexander Brodsky, Nathan E. Egge, Xiaoyang Sean W...
AMC
2008
301views more  AMC 2008»
13 years 8 months ago
Analytic hierarchy process to assess and optimize distribution network
Effective supply chain distribution network design needs to consider various performance dimensions and product characteristics. Recently, researchers have begun to realize that t...
Mithun J. Sharma, Ilkyeong Moon, Hyerim Bae
ICML
2005
IEEE
14 years 9 months ago
Bayesian sparse sampling for on-line reward optimization
We present an efficient "sparse sampling" technique for approximating Bayes optimal decision making in reinforcement learning, addressing the well known exploration vers...
Tao Wang, Daniel J. Lizotte, Michael H. Bowling, D...
EMO
2009
Springer
174views Optimization» more  EMO 2009»
14 years 3 months ago
Constraint Programming
To model combinatorial decision problems involving uncertainty and probability, we introduce stochastic constraint programming. Stochastic constraint programs contain both decision...
Pascal Van Hentenryck