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Proceedings of ELM-2015 Volume 1 - Theory, Algorithms and Applications (I) (Hardcover, 1st ed. 2016) Loot Price: R6,567
Discovery Miles 65 670
You Save: R871 (12%)
Proceedings of ELM-2015 Volume 1 - Theory, Algorithms and Applications (I) (Hardcover, 1st ed. 2016): Jiuwen Cao, Kezhi Mao,...

Proceedings of ELM-2015 Volume 1 - Theory, Algorithms and Applications (I) (Hardcover, 1st ed. 2016)

Jiuwen Cao, Kezhi Mao, Jonathan Wu, Amaury Lendasse

Series: Proceedings in Adaptation, Learning and Optimization, 6

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List price R7,438 Loot Price R6,567 Discovery Miles 65 670 | Repayment Terms: R615 pm x 12* You Save R871 (12%)

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This book contains some selected papers from the International Conference on Extreme Learning Machine 2015, which was held in Hangzhou, China, December 15-17, 2015. This conference brought together researchers and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the Extreme Learning Machine (ELM) technique and brain learning. This book covers theories, algorithms ad applications of ELM. It gives readers a glance of the most recent advances of ELM.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Proceedings in Adaptation, Learning and Optimization, 6
Release date: 2016
First published: 2016
Editors: Jiuwen Cao • Kezhi Mao • Jonathan Wu • Amaury Lendasse
Dimensions: 235 x 155 x 30mm (L x W x T)
Format: Hardcover
Pages: 532
Edition: 1st ed. 2016
ISBN-13: 978-3-319-28396-8
Categories: Books > Science & Mathematics > Biology, life sciences > Molecular biology
Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 3-319-28396-0
Barcode: 9783319283968

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