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» Optimizing stream programs using linear state space analysis
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ICAC
2006
IEEE
13 years 11 months ago
Enabling Self-Managing Applications using Model-based Online Control Strategies
— The increasing heterogeneity, dynamism, and uncertainty of emerging DCE (Distributed Computing Environment) systems imply that an application must be able to detect and adapt t...
Viraj Bhat, Manish Parashar, Hua Liu, Mohit Khande...
UAI
2004
13 years 6 months ago
Dynamic Programming for Structured Continuous Markov Decision Problems
We describe an approach for exploiting structure in Markov Decision Processes with continuous state variables. At each step of the dynamic programming, the state space is dynamica...
Zhengzhu Feng, Richard Dearden, Nicolas Meuleau, R...
CORR
2007
Springer
126views Education» more  CORR 2007»
13 years 5 months ago
Linear Tabling Strategies and Optimizations
Recently there has been a growing interest of research in tabling in the logic programming community because of its usefulness in a variety of application domains including progra...
Neng-Fa Zhou, Taisuke Sato, Yi-Dong Shen
IJCV
2008
188views more  IJCV 2008»
13 years 5 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin
ICML
2006
IEEE
14 years 6 months ago
Fast direct policy evaluation using multiscale analysis of Markov diffusion processes
Policy evaluation is a critical step in the approximate solution of large Markov decision processes (MDPs), typically requiring O(|S|3 ) to directly solve the Bellman system of |S...
Mauro Maggioni, Sridhar Mahadevan