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Titlebook: EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation VI; Alexandru-Adrian Tantar,Emilia Tantar,Henri

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https://doi.org/10.1007/978-3-662-26768-4action has the potential of increasing the accuracy of classification, fully exploring the huge space of possible combinations of the initial 45150 features would make the approach infeasible; Genetic Programming provides a proper way of tackling the search for relevant features. In turn, the extrac
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The synthesis of ladder polymers,his theoretical presumption leads to mutual defection in dilemma games. Despite theoretical prediction in real life situations players tend to cooperate. Our goal is to develop a model that overcomes some of the limitations of classical models. We investigate the emergence of cooperation for the Pri
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Making Choices About Situations and Systemscades. This can be attributed to its ability to assimilate complex and nonlinear input-output relationships inherent in hydrological processes within a river catchment. However despite its prominence, ANNs are still prone to certain problems such as overfitting and over-parameterization, especially
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https://doi.org/10.1007/978-3-319-69710-9EVOLVE 2014; Evolutionary Computation; Intelligent Computing; Probability; Set Oriented Numerics
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