Outlier-robust extreme learning machine for regression problems
An extension of extreme learning machine (ELM).
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Handling data containing outliers for regression and binary classification by extreme learning machine.
The objective is to minimize a combination of L1-norm loss function and L2-norm output weights.
For more details, please refer to the paper "Zhang K, Luo M. Outlier-robust extreme learning machine for regression problems[J]. Neurocomputing, 2015, 151: 1519-1527.".
Cite As
Kai Zhang (2026). Outlier-robust extreme learning machine for regression problems (https://www.mathworks.com/matlabcentral/fileexchange/50877-outlier-robust-extreme-learning-machine-for-regression-problems), MATLAB Central File Exchange. Retrieved .
Acknowledgements
General Information
- Version 2.0.0.0 (1010 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
