Titlebook: EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV; International Confer Michael Emmerich,Andre

aspersion

笨重

David W. Schwenke,Donald G. Truhlar For this reason we propose to solve the clustering problem through the optimization of Shannon’s Entropy. The optimization of this criterion represents a hard combinatorial problem which disallows the use of traditional optimization techniques, and thus, the use of a very efficient optimization tec

Basal-Ganglia

,Local Area Networks — A Survey,ly by comparing it with other widely used ensemble based classifiers such as Bagging, AdaBoost, MultiBoost and Rotation Forest for 10 real-life data sets. Finally, a statistical test has been conducted to establish the superiority of the result produced by proposed RotaSVM.

故意

Firefly

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BOGUS

从容

https://doi.org/10.1007/978-3-319-01128-8EVOLVE 2013; Evolutionary Computation; Intelligent Computing; Probability; Set Oriented Numerics

慢跑

978-3-319-01127-1Springer International Publishing Switzerland 2013

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