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Hybridization of Genetic and Quantum Algorithm for gene selection and classification of Microarray data.

, , and . IPDPS, page 1-8. IEEE, (2009)

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Coarsening Approximations of Belief Functions., , and . ECSQARU, volume 2143 of Lecture Notes in Computer Science, page 362-373. Springer, (2001)On Directed and Undirected Propagation Algorithms for Bayesian Networks., , and . ECSQARU, volume 4724 of Lecture Notes in Computer Science, page 598-610. Springer, (2007)Assessing sensor reliability for multisensor data fusion within the transferable belief model., , and . IEEE Trans. Syst. Man Cybern. Part B, 34 (1): 782-787 (2004)Naive possibilistic classifiers for imprecise or uncertain numerical data., , , , and . Fuzzy Sets Syst., (2014)Frequent Itemset Mining from Databases Including One Evidential Attribute., , and . SUM, volume 5291 of Lecture Notes in Computer Science, page 19-32. Springer, (2008)From Bayesian Classifiers to Possibilistic Classifiers for Numerical Data., , , and . SUM, volume 6379 of Lecture Notes in Computer Science, page 112-125. Springer, (2010)Inference in directed evidential networks based on the transferable belief model., and . Int. J. Approx. Reason., 48 (2): 399-418 (2008)A four-decomposition strategies for hierarchically modeling combinatorial optimization problems: framework, conditions and relations., , and . HPCS, page 491-498. IEEE, (2015)Using Class-Based Reasoning to Improve the Accuracy of Symbolic Rules in a Hybrid Possibilistic Approach., and . DBKDA, page 222-228. IEEE Computer Society, (2010)Propagation of Belief Functions: A Distributed Approach, , and . CoRR, (2013)