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Genetic Programming - 23rd European Conference, EuroGP 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15-17, 2020, Proceedings (Paperback, 1st ed. 2020) Loot Price: R1,563

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Repayment Terms: R146 pm x 12*

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Genetic Programming - 23rd European Conference, EuroGP 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15-17, 2020,...

Genetic Programming - 23rd European Conference, EuroGP 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15-17, 2020, Proceedings (Paperback, 1st ed. 2020)

Ting Hu, Nuno Lourenco, Eric Medvet, Federico Divina

Series: Theoretical Computer Science and General Issues, 12101

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Loot Price R1,563 Discovery Miles 15 630 | Repayment Terms: R146 pm x 12*

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This book constitutes the refereed proceedings of the 23rd European Conference on Genetic Programming, EuroGP 2020, held as part of Evo*2020, in Seville, Spain, in April 2020, co-located with the Evo*2020 events EvoCOP, EvoMUSART and EvoApplications. The 12 full papers and 6 short papers presented in this book were carefully reviewed and selected from 36 submissions. The papers cover a wide spectrum of topics, including designing GP algorithms for ensemble learning, comparing GP with popular machine learning algorithms, customising GP algorithms for more explainable AI applications to real-world problems.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Theoretical Computer Science and General Issues, 12101
Release date:	March 2020
First published:	2020
Editors:	Ting Hu • Nuno Lourenco • Eric Medvet • Federico Divina
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	295
Edition:	1st ed. 2020
ISBN-13:	978-3-03-044093-0
Categories:	Books > Computing & IT > General theory of computing > Systems analysis & design Books > Computing & IT > Computer communications & networking > General Books > Computing & IT > Internet > Network computers Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems Promotions
LSN:	3-03-044093-1
Barcode:	9783030440930