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Titlebook: Genetic Programming; 21st European Confer Mauro Castelli,Lukas Sekanina,Pablo García-Sánchez Conference proceedings 2018 Springer Internati

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书目名称Genetic Programming
副标题21st European Confer
编辑Mauro Castelli,Lukas Sekanina,Pablo García-Sánchez
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Genetic Programming; 21st European Confer Mauro Castelli,Lukas Sekanina,Pablo García-Sánchez Conference proceedings 2018 Springer Internati
描述.This book constitutes the refereed proceedings of the 21st European Conference on Genetic Programming, EuroGP 2018, held in Parma, Italy, in April 2018, co-located with the Evo* 2018 events, EvoCOP, EvoMUSART, and EvoApplications..The 11 revised full papers presented together with 8 poster papers were carefully reviewed and selected from 36 submissions. The wide range of topics in this volume reflects the current state of research in the field. Thus, we see topics and applications including analysis of feature importance for metabolomics, semantic methods, evolution of boolean networks, generation of redundant features, ensembles of GP models, automatic design of grammatical representations, GP and neuroevolution, visual reinforcement learning, evolution of deep neural networks, evolution of graphs, and scheduling in heterogeneous networks..
出版日期Conference proceedings 2018
关键词artificial intelligence; evolutionary algorithms; evolutionary computation; evolvable hardware; games; ge
版次1
doihttps://doi.org/10.1007/978-3-319-77553-1
isbn_softcover978-3-319-77552-4
isbn_ebook978-3-319-77553-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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Analyzing Feature Importance for Metabolomics Using Genetic Programming accuracies especially with a more focused search using a reduced feature set that only includes potentially relevant metabolites. We also identified a set of key metabolic markers that may improve our understanding of the biochemistry and pathogenesis of the disease.
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Scaling Tangled Program Graphs to Visual Reinforcement Learning in ViZDoom of . pixels. In addition, we address issues for developing agents capable of operating in multi-task ViZDoom environments .. The resulting TPG solutions retain all the emergent properties of the original work as well as the computational efficiency. Moreover, solutions appear to generalize across m
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Mauro Castelli,Lukas Sekanina,Pablo García-Sánchez
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Design of Data Acquisition Systems, using less prior knowledge (iii) evolves CNNs with novel topologies, unlikely to be designed by hand. For instance, the best performing CNN obtained during evolution has an unexpected structure using six consecutive dense layers. On the CIFAR-10 the best model reports an average error of 5.87% on t
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