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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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發(fā)表于 2025-3-28 17:28:02 | 只看該作者
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發(fā)表于 2025-3-28 18:48:35 | 只看該作者
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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發(fā)表于 2025-3-29 02:53:38 | 只看該作者
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發(fā)表于 2025-3-29 06:28:22 | 只看該作者
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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發(fā)表于 2025-3-29 08:32:58 | 只看該作者
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發(fā)表于 2025-3-29 22:15:28 | 只看該作者
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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發(fā)表于 2025-3-30 02:28:28 | 只看該作者
50#
發(fā)表于 2025-3-30 08:02:58 | 只看該作者
https://doi.org/10.1007/978-3-319-69710-9EVOLVE 2014; Evolutionary Computation; Intelligent Computing; Probability; Set Oriented Numerics
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