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, the International Symposium on Extreme Learning Machines (ELM) will be held in the beautiful island-country of Singapore from 11th December to 13th December 2012. 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 the following reputable ISI indexed international journals: Information Sciences, Cognitive Computation, Neurocomputing, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems and World Wide Web - Internet and Web Information Systems. No additional symposium proceedings are provided.
- Paper Submission Deadline: 1 July 2012
- Notification of Acceptance: 1 September 2012
- Registration Deadline: 31 October 2012