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GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
13 years 9 months ago
Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...
Yunpeng Cai, Xiaomin Sun, Peifa Jia
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
13 years 11 months ago
Extraction of informative genes from microarray data
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
Topon Kumar Paul, Hitoshi Iba
BMCBI
2010
178views more  BMCBI 2010»
13 years 6 months ago
Applications of a formal approach to decipher discrete genetic networks
Background: A growing demand for tools to assist the building and analysis of biological networks exists in systems biology. We argue that the use of a formal approach is relevant...
Fabien Corblin, Eric Fanchon, Laurent Trilling
ICDT
2010
ACM
219views Database» more  ICDT 2010»
14 years 3 months ago
Aggregate Queries for Discrete and Continuous Probabilistic XML
Sources of data uncertainty and imprecision are numerous. A way to handle this uncertainty is to associate probabilistic annotations to data. Many such probabilistic database mode...
Serge Abiteboul, T.-H Hubert Chan, Evgeny Kharlamo...
ECAI
2008
Springer
13 years 8 months ago
A probabilistic analysis of diagnosability in discrete event systems
Abstract. This paper shows that we can take advantage of information about the probabilities of the occurrences of events, when this information is available, to refine the classic...
Farid Nouioua, Philippe Dague