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Proceedings of ELM-2014 Volume 1

Algorithms and Theories

  • Jiuwen Cao
  • Kezhi Mao
  • Erik Cambria
  • Zhihong Man
  • Kar-Ann Toh
Conference proceedings

Part of the Proceedings in Adaptation, Learning and Optimization book series (PALO, volume 3)

Table of contents

  1. Front Matter
    Pages 1-8
  2. Jiannan Zhang, Shiji Song, Xunan Zhang
    Pages 1-13
  3. Shan Huang, Botao Wang, Junhao Qiu, Jitao Yao, Guoren Wang, Ge Yu
    Pages 31-40
  4. Jonathan Tapson, Philip de Chazal, André van Schaik
    Pages 41-49
  5. Lin Feng, Shenglan Liu, Yao Xiao, Jing Wang
    Pages 51-59
  6. Federica Bisio, Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino
    Pages 61-70
  7. Jiajia Li, Botao Wang, Guoren Wang
    Pages 71-80
  8. Hang Gao, Xinwang Liu, Yuxing Peng
    Pages 81-90
  9. Linlin Ding, Yu Liu, Baoyan Song, Junchang Xin
    Pages 91-102
  10. Lei Zhang, David Zhang
    Pages 103-119
  11. Le-le Cao, Wen-bing Huang, Fu-chun Sun
    Pages 141-150
  12. Haocheng Wang, Qing He, Tianfeng Shang, Fuzhen Zhuang, Zhongzhi Shi
    Pages 151-161
  13. Philip de Chazal, Jonathan Tapson, André van Schaik
    Pages 183-191
  14. Koshy George, Sachin Prabhu, Prabhanjan Mutalik
    Pages 215-224
  15. Hou Muzhou, Chen Ming, Zhang Yangchun
    Pages 225-236
  16. Haoqi Sun, Olga Sourina, Yan Yang, Guang-Bin Huang, Cornelia Denk, Felix Klanner
    Pages 245-262
  17. Bo Han, Bo He, Mengmeng Ma, Tingting Sun, Tianhong Yan, Amaury Lendasse
    Pages 273-292
  18. Xibin Jia, Runyuan Wang, Junfa Liu, David M. W. Powers
    Pages 301-310
  19. Yimin Yang, Q. M. Jonathan Wu, Yaonan Wang, Dibyendu Mukherjee, Yanjie Chen
    Pages 311-324
  20. Yang Liu, Bo He, Diya Dong, Yue Shen, Tianhong Yan, Rui Nian et al.
    Pages 325-344
  21. Migel D. Tissera, Mark D. McDonnell
    Pages 345-354
  22. Stanislaw Woźniak, Adela-Diana Almási, Valentin Cristea, Yusuf Leblebici, Ton Engbersen
    Pages 367-376
  23. Chamara Kasun Liyanaarachchi Lekamalage, Tianchi Liu, Yan Yang, Zhiping Lin, Guang-Bin Huang
    Pages 435-444
  24. Back Matter
    Pages 445-446

About these proceedings

Introduction

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.

 

Keywords

Big Data Analytics and Machine Learning ELM 2014 Extreme Learning Machines Intelligent Systems Multiagent Systems The International Conference on Extreme Learning Machines

Editors and affiliations

  • Jiuwen Cao
    • 1
  • Kezhi Mao
    • 2
  • Erik Cambria
    • 3
  • Zhihong Man
    • 4
  • Kar-Ann Toh
    • 5
  1. 1.Institute of Information and ControlHangzhou Dianzi UniversityZhejiangChina
  2. 2.School of Electrical and Electronic EngineeringNanyang Technological UniversitySingaporeSingapore
  3. 3.School of Computer EngineeringNanyang Technological UniversitySingaporeSingapore
  4. 4.Faculty of Engineering and Industrial SciencesSwinburne University of TechnologyHawthornAustralia
  5. 5.School of Electrical and Electronic EngineeringYonsei UniversitySeoulKorea, Republic of (South Korea)

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-14063-6
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-14062-9
  • Online ISBN 978-3-319-14063-6
  • Series Print ISSN 2363-6084
  • Series Online ISSN 2363-6092
  • Buy this book on publisher's site