The International Symposium on Extreme Learning Machines (ELM2012)
Sponsor: Nanyang Technological University, Singapore
Technical CoSponsors: IEEE Computational Intelligence Society, IEEE Systems, Man,
Cybernetics Society, and Memetic Computing Society
Honorary Advisor: Tee Hiang Cheng, Nanyang Technological University, Singapore
General Chair: GuangBin Huang, Nanyang Technological University, Singapore
Organization Chair: MengHiot Lim, Nanyang Technological University, Singapore
Program Chairs:
Kezhi Mao, Nanyang Technological University, Singapore
Qing He, Chinese Academy of Science, China
Amaury Lendasse, Aalto University , Finland
KarAnn Toh, Yonsei University, Korea
XiZhao Wang, Hebei University, China
Advisory Committee:
Li Deng,Microsoft Research, Redmond, USA
Tom Heskes, Radboud University Nijmegen, Netherlands
Derong Liu University of Illinois at Chicago USA
Witold Pedrycz, University of Alberta , Canada
Vincenzo Piuri, Universita' degli Studi di Milano, Italy
Marios M. Polycarpou, University of Cyprus, Cyprus
José Carlos Príncipe, University of Florida, USA
Eugene Santos Jr., Dartmouth College, USA
Kye Yak See, Nanyang Technological University, Singapore
Kay Chen Tan,National University of Singapore, Singapore
Michel Verleysen, Université catholique de Louvain, Belgium
Dianhui Wang,La Trobe University, Australia
Jun Wang, Chinese University of Hong Kong , China
Halbert White, University of California, San Diego , USA
Donald C. Wunsch II, Missouri University of Science & Technology, USA
Lih Xi N ThlilUi i Si
Lihua Xie, Nanyang Technological University, Singapore
ZongBen Xu,Xi’an Jiaotong University, China
Xin Yao, University of Birmingham, UK
Zhengyou Zhang, Microsoft Research, Redmond, USA
Jacek M. Zurada, University of Louisville, USA
Erik Cambria,National University of Singapore, Singapore
Feilong Cao, China Jiliang University, China
Haibo He, University of Rhode Island, USA
Zhihong Man, Swinburne University of Technology, Australia
Dong Sun Park, Chonbuk National University, Korea
Alberto Prieto, University of Granada , Spain
Fuchun Sun, Tsinghua University, China
Liaison Chair: Rui Zhang, Nanyang Technological University, Singapore
Extreme Learning Machines (ELM) provide efficient unified solutions to generalized feedforward networks including but not limited to feedforward neural networks and kernel learning. ELM possesses unique features to deal with regression and (multiclass) classification tasks. Consequently, ELM offers significant advantages such as fast learning speed, ease of implementation, and least human intervene. ELM has good potential as a viable alternative technique for largescale computing and artificial intelligence.
Theories
· Universal approximation and convergence
· Robustness and stability analysis
Algorithms
· Realtime learning/reasoning
· Sequential and incremental learning
· Kernel based algorithms
Applications
· Time series prediction
· Pattern recognition
· Web applications
· Biometrics
· Bioinformatics
· Power systems
· Control engineering
· Security
· Compression
· Human computer interface
· Imbalanced data processing
· Data analytics
· Super/ultra largescale data processing
Paper submission:
Only fulllength manuscripts with at least submission entry quality of good journals will be considered for presentation at this symposium. All the submissions will go through rigorous peer review. Details on manuscript submission will be given online http://www.extremelearningmachines.org by February 15, 2012.
Paper submission deadline: June 1, 2012
Notification of acceptance: September 1, 2012
Registration deadline: October 15, 2012
- Date:
- 11 December 2012 to 13 December 2012
- Location:
- Off Campus Singapore
- Audience:
- All Welcome
- Contact:
- Prof Dacheng Tao
- More info:
- http://www.extreme-learning-machines.org
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