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ORCIDNeurocomputing, Volume 102
Volume 102, February 2013
- Guang-Bin Huang
, Dianhui Wang:
Advances in Extreme Learning Machines (ELM2011). 1-2 - Xi-Zhao Wang, Qing-yan Shao, Qing Miao, Jun-Hai Zhai:
Architecture selection for networks trained with extreme learning machine using localized generalization error model. 3-9 - Dajun Du, Kang Li, George W. Irwin, Jing Deng:
A novel automatic two-stage locally regularized classifier construction method using the extreme learning machine. 10-22 - Klaus Neumann, Jochen J. Steil:
Optimizing extreme learning machines via ridge regression and batch intrinsic plasticity. 23-30 - Punyaphol Horata, Sirapat Chiewchanwattana, Khamron Sunat:
Robust extreme learning machine. 31-44 - Qi Yu, Yoan Miche, Emil Eirola, Mark van Heeswijk, Eric Séverin, Amaury Lendasse:
Regularized extreme learning machine for regression with missing data. 45-51 - Qing He, Tianfeng Shang, Fuzhen Zhuang, Zhongzhi Shi:
Parallel extreme learning machine for regression based on MapReduce. 52-58 - Jun-Seok Lim:
Partitioned online sequential extreme learning machine for large ordered system modeling. 59-64 - Youngsung Kim, Kar-Ann Toh, Andrew Beng Jin Teoh, How-Lung Eng, Wei-Yun Yau:
An online learning network for biometric scores fusion. 65-77 - Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria, Judith Redi:
Circular-ELM for the reduced-reference assessment of perceived image quality. 78-89 - Feilong Cao, Bo Liu, Dong Sun Park:
Image classification based on effective extreme learning machine. 90-97 - Dianhui Wang, Monther Alhamdoosh:
Evolutionary extreme learning machine ensembles with size control. 98-110 - Benoît Frénay, Mark van Heeswijk, Yoan Miche, Michel Verleysen, Amaury Lendasse:
Feature selection for nonlinear models with extreme learning machines. 111-124 - Arindam Basu, Sun Shuo, Hongming Zhou, Meng-Hiot Lim, Guang-Bin Huang:
Silicon spiking neurons for hardware implementation of extreme learning machines. 125-134 - Li-Chen Shi, Bao-Liang Lu:
EEG-based vigilance estimation using extreme learning machines. 135-143 - Weitao Li, Dianhui Wang, Tianyou Chai:
Burning state recognition of rotary kiln using ELMs with heterogeneous features. 144-153 - Hongming Yang, Jun Yi, Junhua Zhao, Zhao Yang Dong:
Extreme learning machine based genetic algorithm and its application in power system economic dispatch. 154-162 - Si Wu, Youyi Wang, Shijie Cheng:
Extreme learning machine based wind speed estimation and sensorless control for wind turbine power generation system. 163-175 - Bo Lu, Guoren Wang, Ye Yuan, Dong Han:
Semantic concept detection for video based on extreme learning machine. 176-183
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