Editors:
- Recent research on Extreme Learning Machines
- Results of the International Conference on Extreme Learning Machines (ELM-2014) held at Marina Bay Sands, Singapore, December 8-10, 2014
- Presents Theory, Algorithms and Applications
Part of the book series: Proceedings in Adaptation, Learning and Optimization (PALO, volume 3)
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Table of contents (36 papers)
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Front Matter
About this book
This book contains some selected papers from the International Conference on Extreme Learning Machine 2014, which was held in Singapore, December 8-10, 2014. This conference brought together the researchers and practitioners of Extreme Learning Machine (ELM) from a variety of fields to promote research and development of “learning without iterative tuning”. The book covers theories, algorithms and applications of ELM. It gives the readers a glance of the most recent advances of ELM.
Editors and Affiliations
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Institute of Information and Control, Hangzhou Dianzi University, Zhejiang, China
Jiuwen Cao
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School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore
Kezhi Mao
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School of Computer Engineering, Nanyang Technological University, Singapore, Singapore
Erik Cambria
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Faculty of Engineering and Industrial Sciences, Swinburne University of Technology, Hawthorn, Australia
Zhihong Man
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School of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea, Republic of (South Korea)
Kar-Ann Toh
Bibliographic Information
Book Title: Proceedings of ELM-2014 Volume 1
Book Subtitle: Algorithms and Theories
Editors: Jiuwen Cao, Kezhi Mao, Erik Cambria, Zhihong Man, Kar-Ann Toh
Series Title: Proceedings in Adaptation, Learning and Optimization
DOI: https://doi.org/10.1007/978-3-319-14063-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2015
Hardcover ISBN: 978-3-319-14062-9Published: 29 December 2014
Softcover ISBN: 978-3-319-36684-5Published: 23 August 2016
eBook ISBN: 978-3-319-14063-6Published: 04 December 2014
Series ISSN: 2363-6084
Series E-ISSN: 2363-6092
Edition Number: 1
Number of Pages: VIII, 446
Number of Illustrations: 124 b/w illustrations