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<cambria_(on)_nus.edu.sg>

Apologies for cross-posting. Submissions are invited for the 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 ???

Research Scientist Cognitive Science Programme

Tel: +65 6516 5752 Web: http://sentic.net Email:
cambria_(at)_nus.edu.sg Twitter: http://twitter.com/senticnet
Facebook: http://facebook.com/senticnet

Temasek Laboratories National University of Singapore 5A
Engineering Drive 1, Singapore 117411

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