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» Iterative methods for Robbins problems
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94
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AIPS
2007
15 years 2 months ago
Discovering Relational Domain Features for Probabilistic Planning
In sequential decision-making problems formulated as Markov decision processes, state-value function approximation using domain features is a critical technique for scaling up the...
Jia-Hong Wu, Robert Givan
112
Voted
MANSCI
2007
139views more  MANSCI 2007»
15 years 12 days ago
A Market-Based Optimization Algorithm for Distributed Systems
In this paper, a market-based decomposition method for decomposable linear systems is developed. The solution process iterates between a master problem that solves the market-matc...
Zhiling Guo, Gary J. Koehler, Andrew B. Whinston
94
Voted
ICFP
2003
ACM
16 years 14 days ago
Iterative-free program analysis
Program analysis is the heart of modern compilers. Most control flow analyses are reduced to the problem of finding a fixed point in a certain transition system, and such fixed po...
Mizuhito Ogawa, Zhenjiang Hu, Isao Sasano
CASES
2006
ACM
15 years 4 months ago
Reaching fast code faster: using modeling for efficient software thread integration on a VLIW DSP
When integrating software threads together to boost performance on a processor with instruction-level parallel processing support, it is rarely clear which code regions should be ...
Won So, Alexander G. Dean
105
Voted
ISMB
1994
15 years 1 months ago
Stochastic Motif Extraction Using Hidden Markov Model
In this paper, westudy the application of an ttMM(hidden Markov model) to the problem of representing protein sequencesby a stochastic motif. Astochastic protein motif represents ...
Yukiko Fujiwara, Minoru Asogawa, Akihiko Konagaya