ELM 2012 - 2012 International Symposium on Extreme Learning Machines (ELM)

2012 International Symposium on Extreme Learning Machines (ELM) to be held in Singapore from 11th to 13th December.
ABSTRACT
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 (multi-class) 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 large-scale computing and artificial intelligence. Organized by EXQUISITUS, Centre for E‐City, School of Electrical and Electronic Engineering, Nanyang Technological University, ELM2012 will be held in the beautiful island-country of Singapore. This symposium will provide a forum for academics, researchers and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the ELM technique. All accepted papers presented in this symposium will be published in special issues of reputable ISI indexed international journals. Potential journals include: Information Sciences, Neurocomputing, Soft Computing, and Neural Computing and Applications. No additional symposium proceedings are provided.
TOPICS
All the submissions must be related to ELM technique. Topics of interest include but are not limited to:
Theories
? Universal approximation and convergence
? Robustness and stability analysis
Algorithms
? Real‐time 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 large‐scale data processing
TIMEFRAME
June 1st, 2012: Paper submission deadline
October 15th, 2012: Registration deadline
September 1st, 2012: Notification of acceptance
December 11-13th, 2012: Conference dates
SUBMISSIONS
Only full‐length 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 at http://extreme-learning-machines.org and http://sentic.net/2012/01/09/elm by February 15th, 2012
Erik Cambria
康文涵
Research Scientist
Cognitive Science Programme
Tel: +65 6516 5752
Web: http://sentic.net
Email: cambria-AT-nus.edu.sg
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Temasek Laboratories
National University of Singapore
5A Engineering Drive 1, Singapore 117411