Robust OS-ELM with a novel selective ensemble based on particle swarm optimization

no code implementations • 13 Aug 2014 • Yang Liu, Bo He, Diya Dong, Yue Shen, Tianhong Yan, Rui Nian, Amaury Lendase

Second, an adaptive selective ensemble framework for online learning is designed to balance the robustness and complexity of the algorithm.

General Classification online learning

LARSEN-ELM: Selective Ensemble of Extreme Learning Machines using LARS for Blended Data

no code implementations • 9 Aug 2014 • Bo Han, Bo He, Rui Nian, Mengmeng Ma, Shujing Zhang, Minghui Li, Amaury Lendasse

Extreme learning machine (ELM) as a neural network algorithm has shown its good performance, such as fast speed, simple structure etc, but also, weak robustness is an unavoidable defect in original ELM for blended data.