Titlebook: Genetic Programming; 4th European Confere Julian Miller,Marco Tomassini,William B. Langdon Conference proceedings 2001 Springer-Verlag Berl

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書目名稱Genetic Programming影響因子(影響力)




書目名稱Genetic Programming影響因子(影響力)學(xué)科排名




書目名稱Genetic Programming網(wǎng)絡(luò)公開度




書目名稱Genetic Programming網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Genetic Programming被引頻次




書目名稱Genetic Programming被引頻次學(xué)科排名




書目名稱Genetic Programming年度引用




書目名稱Genetic Programming年度引用學(xué)科排名




書目名稱Genetic Programming讀者反饋




書目名稱Genetic Programming讀者反饋學(xué)科排名

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0302-9743 Overview: Includes supplementary material: 978-3-540-41899-3978-3-540-45355-0Series ISSN 0302-9743 Series E-ISSN 1611-3349

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https://doi.org/10.1007/3-540-45355-5Adaptive Systems; Evolutionary Computation; Evolutionary Programming; Genetic Algorithms; Genetic Progra

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Julian Miller,Marco Tomassini,William B. LangdonIncludes supplementary material:

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Flipperspielen und Lebenskunst,dividual ROCs [.]. As expected in at least some cases better ROCs can be produced. We show genetic programming (GP) can automatically produce a combination of classifiers whose ROC is better than the convex hull of the supplied classifier’s ROCs.

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https://doi.org/10.1007/978-3-476-03030-6gramming. In this preliminary investigation, we run a series of comparative experiments on a simple test problem. Our results show that the adaptive algorithm is able to outperform its non-adaptive counterpart.

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Versicherung und Risikoforschunginvestigates the effect of encapsulating such subtrees by representing them as atoms in the terminal set, so that the subtree evaluations can be exploited as terminal data. The encapsulation scheme is compared against a second scheme which depends on random subtree selection. Empirical results show that both schemes improve upon standard GP.