Extreme Learning Machines (ELM) provide efficient unified solutions to generalized feedforward networks including but not limited to (both single-hidden-layer and multi-hidden-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 intervention. ELM has good potential as a viable alternative technique for large-scale computing and artificial intelligence.
Organized by Tsinghua University, Northeastern University and Nanyang Technological University, the International Conference on Extreme Learning Machines (ELM) will be held in Beijing, the capital of China from 15th October to 17th October 2013. 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 submitted papers will be thoroughly reviewed to maintain a certain level of quality and standard in order to be considered for ELM2013. Accepted papers need to be presented at the conference. Selected papers will be recommended for further review for publication consideration in special issues of reputable ISI indexed international journals (IEEE Intelligent Systems (see IEEE IS CFP), Neurocomputing, Cognitive Computation, Neural Computing and Applications). Other accepted papers will be published in special edited ELM2013 conference Proceedings volumes by Springer-Verlag. Such submissions should not have been submitted elsewhere and they are not currently under review by other conferences or journals.
- Paper Submission Deadline: 10 June 2013
- Notification of Acceptance: 1 August 2013
- Registration Deadline: 1 September 2013