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» Modelling decision making with probabilistic causation
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BIBE
2007
IEEE
124views Bioinformatics» more  BIBE 2007»
14 years 1 months ago
Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
Chan-Hoon Park, Soo-Jin Kim, Sun Kim, Dong-Yeon Ch...
WSC
2008
13 years 10 months ago
Update on economic approach to simulation selection problems
This paper summarizes new analytical and empirical results for the economic approach to simulation selection problems that we introduced two years ago. The approach seeks to help ...
Stephen E. Chick, Noah Gans
RC
2007
113views more  RC 2007»
13 years 7 months ago
A Search Algorithm for Calculating Validated Reliability Bounds
The search algorithm presented allows the CDF of a dependent variable to be bounded with 100%confidence,andallowsforaguaranteedevaluationof theerror involved.Thesereliabilitybound...
Fulvio Tonon
CORR
2011
Springer
145views Education» more  CORR 2011»
12 years 11 months ago
Collective Animal Behavior from Bayesian Estimation and Probability Matching
Animals living in groups make movement decisions that depend, among other factors, on social interactions with other group members. Our present understanding of social rules in an...
Alfonso Pérez-Escudero, Gonzalo G. de Polav...
RAS
2007
148views more  RAS 2007»
13 years 7 months ago
Including probabilistic target detection attributes into map representations
Range measuring sensors can play an extremely important role in robot navigation. All range measuring devices rely on a ‘detection criterion’ made in the presence of noise, to...
John Mullane, Ebi Jose, Martin David Adams, Wijeru...