Meta-ELM: ELM with ELM hidden nodes

@article{Liao2014MetaELMEW,
  title={Meta-ELM: ELM with ELM hidden nodes},
  author={Shizhong Liao and Chang Feng},
  journal={Neurocomputing},
  year={2014},
  volume={128},
  pages={81-87}
}
Extreme Leaning Machine (ELM) simply randomly assigns input weights and biases, ineluctably leading to certain stochastic behaviors and reducing generalization performance. In this paper, we propose a meta-learning model of ELM, called Meta-ELM. The Meta-ELM architecture consists of several base ELMs and one top ELM. Therefore, the Meta-ELM learning proceeds in two stages. First, each base ELM is trained on a subset of the training data. Then, the top ELM is learned with the base ELMs as hidden… CONTINUE READING

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