Ensemble of online sequential extreme learning machine

By Yuan Lan, Y. C. Soh, G. Huang. Neurocomputing, 2009

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Voting based extreme learning machine (2012, methodology): “In Section 4, discussions on the performance of V-ELM with respect to different independent training numbers and on three recent methods [22,26,32] which also exploit multiple classifiers in ELM are given.”
Trends in extreme learning machines: A review (2015, methodology): “In Lan et al. (2009), an ensemble of online sequential ELM (EOS-ELM) is proposed which takes the averaged prediction of several independently trained OS-ELM as the final prediction.”
How many watts: A data driven approach to aggregated residential air-conditioning load forecasting (2017, methodology): “[19], a linear optimization problem is formulated.”
Extreme learning machines: a survey (2011, background): “[81] proposed an integrated network structure, which is called ensemble of online sequential ELM (EOS-ELM).”