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AAAI
1997
15 years 5 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
IAT
2008
IEEE
15 years 11 months ago
Relating Cognitive Process Models to Behavioural Models of Agents
From an external perspective, cognitive agent behaviour can be described by specifying (temporal) correlations of a certain complexity between stimuli (input states) and (re)actio...
Alexei Sharpanskykh, Jan Treur
FSTTCS
1998
Springer
15 years 8 months ago
Partial Order Reductions for Bisimulation Checking
Partial order methods have been introduced to avoid the state explosion problem in veri cation resulting from the representation of multiple interleavings of concurrent transitions...
Michaela Huhn, Peter Niebert, Heike Wehrheim
SUTC
2006
IEEE
15 years 10 months ago
An Adaptive Hybrid Dynamic Power Management Method
In this paper, we propose an adaptive hybrid dynamic power management (AH-DPM) strategy based on a predictive shutdown scheme and an adaptive non-stationary stochastic process. Th...
Hung-Cheng Shih, Kuochen Wang
GECCO
2004
Springer
104views Optimization» more  GECCO 2004»
15 years 9 months ago
A Genetic Approach for Gene Selection on Microarray Expression Data
Abstract. Microarrays allow simultaneous measurement of the expression levels of thousands of genes in cells under different physiological or disease states. Because the number of...
Yong-Hyuk Kim, Su-Yeon Lee, Byung Ro Moon