"This book contains some selected papers from the International Conference on Extreme Learning Machine 2014, which was held in Singapore, December 8-10, 2014. This conference brought together the researchers and practitioners of Extreme Learning Machine (ELM) from a variety of fields to promote research and development of “learning without iterative tuning”. The book covers theories, algorithms and applications of ELM. It gives the read ..."
"This book contains some selected papers from the International Conference on Extreme Learning Machine 2014, which was held in Singapore, December 8-10, 2014. This conference brought together the researchers and practitioners of Extreme Learning Machine (ELM) from a variety of fields to promote research and development of “learning without iterative tuning”. The book covers theories, algorithms and applications of ELM. It gives the reade ..."
"In recent years, ELM has emerged as a revolutionary technique of computational intelligence, and has attracted considerable attentions. An extreme learning machine (ELM) is a single layer feed-forward neural network alike learning system, whose connections from the input layer to the hidden layer are randomly generated, while the connections from the hidden layer to the output layer are learned through linear learning methods. The outst ..."
"This book contains some selected papers from the International Conference on Extreme Learning Machine 2015, which was held in Hangzhou, China, December 15-17, 2015. This conference brought together researchers and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the Extreme Learning Machine (ELM) technique and brain learning. This book covers theories, algorithms ad applications o ..."
"This book contains some selected papers from the International Conference on Extreme Learning Machine 2015, which was held in Hangzhou, China, December 15-17, 2015. This conference brought together researchers and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the Extreme Learning Machine (ELM) technique and brain learning. This book covers theories, algorithms ad applications ..."
"This book contains some selected papers from the International Conference on Extreme Learning Machine 2014, which was held in Singapore, December 8-10, 2014. This conference brought together the researchers and practitioners of Extreme Learning Machine (ELM) from a variety of fields to promote research and development of “learning without iterative tuning”. The book covers theories, algorithms and applications of ELM. It gives the reade ..."
"This book contains some selected papers from the International Conference on Extreme Learning Machine 2014, which was held in Singapore, December 8-10, 2014. This conference brought together the researchers and practitioners of Extreme Learning Machine (ELM) from a variety of fields to promote research and development of “learning without iterative tuning”. The book covers theories, algorithms and applications of ELM. It gives the read ..."
"In recent years, ELM has emerged as a revolutionary technique of computational intelligence, and has attracted considerable attentions. An extreme learning machine (ELM) is a single layer feed-forward neural network alike learning system, whose connections from the input layer to the hidden layer are randomly generated, while the connections from the hidden layer to the output layer are learned through linear learning methods. The outst ..."
"Applications Jiuwen Cao, Kezhi Mao, Erik Cambria, Zhihong Man, Kar-Ann Toh.
10. 11. 12. 13. 14. 15. 16. 17. ... Cheng, H., Liu, Z., Zhao, Y., Ye, G., Sun, X.: Real
world activity summary for senior home monitoring. Multimedia Tools and ... IEEE
Trans. on Communications Magazine 48, 140–150 (2010) Wang, J., Chen, R.H.,
Sun, X.P., She, M., Kong, L.X.: Generative models for automatic recognition of
human daily activities from a single ..."
"Jian-Chuan Yin, Guo-Shuai Li and Jiang-Qiang Hu Abstract Neural networks
have been proved to be efficient for online identification and prediction of
complex nonlinear systems. However, for systems with time-varying dynamics
which are common in practice, networks achieved by holistic learning scheme
cannot reflect the time-varying local dynamics of system. In this study, a modular
prediction scheme is proposed by combining the mech ..."
"Figure1shows the ensemble OS-ELM framework. This framework considers
ensemble methods (Bagging, subspace partitioning and cross validation) as well
as training phase and testing phase of OS-ELM. (Xm,k ,Tm,k) represents data
chunks for ensemble member m, where Xm,k represents the attributes set and
Tm,k represents the set of tags in which class the instances belong to
corresponding to Xm,k. There are two ways of using the training d ..."