ENR-ELM constructs deterministic hidden-layer features from the eigenvectors of the NNGP kernel and fits the output layer by projection or incremental regression, matching ELM accuracy with less randomness and faster model selection.
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Effective Non-Random Extreme Learning Machine
ENR-ELM constructs deterministic hidden-layer features from the eigenvectors of the NNGP kernel and fits the output layer by projection or incremental regression, matching ELM accuracy with less randomness and faster model selection.