Extreme Learning Machines (ELM) provide efficient unified solutions to generalized feedforward networks including but not limited to (both single‐hidden‐layer and multihidden‐layer) feedforward neural networks, RBF 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 minimal human intervene. ELM has good potential as a viable alternative technique for large‐scale computing and artificial intelligence.

Organized by the Nanyang Technological University, Tsinghua University, and Northeastern University, ELM2013 will be held in Beijing, the capital of China. This conference 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, as well as participating in a competition on a data‐centric application problem. Details of ELM2013 competition will be announced by March 15, 2013.

All accepted papers presented in this conference will be published in special issues of reputable ISI indexed international journals or special edited book volumes to be published by Springer‐Verlag. No additional conference proceedings are provided.

Topics of interest:
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

Paper submission:
Potential authors may submit their manuscripts for publication consideration either in special issues of journals or edited book volumes. Only full‐length manuscripts with at least submission entry quality of good journals will be considered for presentation at this conference. All the submissions will go through rigorous peer review. Details on manuscript submission will be given online http://elm2013.extreme‐learningmachines.org by March 1, 2013.

Important dates:
Paper submission deadline:      May 15, 2013
Notification of acceptance:      August 1, 2013
Registration deadline:              September 1, 2013