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» Factored MCTS for Large Scale Stochastic Planning
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AAAI
1997
13 years 6 months ago
Model Minimization in Markov Decision Processes
Many stochastic planning problems can be represented using Markov Decision Processes (MDPs). A difficulty with using these MDP representations is that the common algorithms for so...
Thomas Dean, Robert Givan
NIPS
2008
13 years 6 months ago
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Shenghuo Zhu, Kai Yu, Yihong Gong
SMC
2007
IEEE
125views Control Systems» more  SMC 2007»
13 years 11 months ago
Scaling with digital connection: Services innovation
—Digitization of production factors, including the knowledge for knowledge workers and consumers, opens almost infinite potential to connect persons, systems, processes, enterpri...
Cheng Hsu
AAAI
2000
13 years 6 months ago
Decision Making under Uncertainty: Operations Research Meets AI (Again)
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
Craig Boutilier
CORR
2010
Springer
166views Education» more  CORR 2010»
13 years 5 months ago
Bandwidth Modeling and Estimation in Peer to Peer Networks
Recent studies have shown that the majority of today's internet traffic is related to Peer to Peer (P2P) traffic. The study of bandwidth in P2P networks is very important. Bec...
Kiarash Mizanian, Mehdi Vasef, Morteza Analoui