Titlebook: Genetic Programming; 14th European Confer Sara Silva,James A. Foster,Mario Giacobini Conference proceedings 2011 Springer Berlin Heidelberg

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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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Maximum Margin Decision Surfaces for Increased Generalisation in Evolutionary Decision Tree Learningralisation of genetically-induced classification trees, which employ linear discriminants as the partitioning function at each internal node. Genetic Programming is employed to search the space of oblique decision trees. At the end of the evolutionary run, a (1+1) Evolution Strategy is used to geome

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A Peer-to-Peer Approach to Genetic Programmingtralized in order to take full-advantage of a massively parallel Peer-to-Peer infrastructure. In this context, GP is particularly demanding due to its high requirements of computational power. To assess the viability of the approach, the .model has been empirically analyzed in a simulated Peer-to-Pe