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» Using Cell-DEVS for Modeling Complex Cell Spaces
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IJCAI
2001
15 years 4 months ago
Complexity of Probabilistic Planning under Average Rewards
A general and expressive model of sequential decision making under uncertainty is provided by the Markov decision processes (MDPs) framework. Complex applications with very large ...
Jussi Rintanen
BMCBI
2008
111views more  BMCBI 2008»
15 years 3 months ago
MLIP: using multiple processors to compute the posterior probability of linkage
Background: Localization of complex traits by genetic linkage analysis may involve exploration of a vast multidimensional parameter space. The posterior probability of linkage (PP...
Manika Govil, Alberto Maria Segre, Veronica J. Vie...
CERA
2010
146views more  CERA 2010»
15 years 3 months ago
A Framework of Describing and Managing Engineering Analysis Modeling Knowledge for Design Validation
Engineering design is validated by engineering analysis. In the process for predicting the physical behavior of the design, the design components, physical mechanisms, etc. are id...
Yutaka Nomaguchi, Tomohiro Taguchi, Kikuo Fujita
BMCBI
2005
156views more  BMCBI 2005»
15 years 3 months ago
A new dynamical layout algorithm for complex biochemical reaction networks
Background: To study complex biochemical reaction networks in living cells researchers more and more rely on databases and computational methods. In order to facilitate computatio...
Katja Wegner, Ursula Kummer
BMCBI
2006
216views more  BMCBI 2006»
15 years 3 months ago
Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
Haiying Wang, Huiru Zheng, David Simpson, Francisc...