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122
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AI
2000
Springer
15 years 3 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...
117
Voted
IOR
2010
93views more  IOR 2010»
15 years 2 months ago
Equilibrium Capacity Expansion Under Stochastic Demand Growth
In critical energy infrastructure sectors (e.g. electric power generation, natural gas transportation, oil refining capacity) maintaining certain level of excess capacity is soci...
Alfredo Garcia, Zhijiang Shen
149
Voted
TSMC
2010
14 years 10 months ago
On Robust Stability of Stochastic Genetic Regulatory Networks With Time Delays: A Delay Fractioning Approach
Robust stability serves as an important regulation mechanism in system biology and synthetic biology. In this paper, the robust stability analysis problem is investigated for a cla...
Yao Wang, Zidong Wang, Jinling Liang
230
Voted
CVPR
2010
IEEE
14 years 25 days ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu
242
Voted
POPL
2007
ACM
16 years 4 months ago
On the analysis of interacting pushdown systems
Pushdown Systems (PDSs) has become an important paradigm for program analysis. Indeed, recent work has shown a deep connection between inter-procedural dataflow analysis for seque...
Vineet Kahlon, Aarti Gupta