pClass: An Effective Classifier for Streaming Examples

@article{Pratama2015pClassAE,
  title={pClass: An Effective Classifier for Streaming Examples},
  author={Mahardhika Pratama and Sreenatha G. Anavatti and Meng Joo Er and Edwin Lughofer},
  journal={IEEE Transactions on Fuzzy Systems},
  year={2015},
  volume={23},
  pages={369-386}
}
In this paper, a novel evolving fuzzy-rule-based classifier, termed parsimonious classifier (pClass), is proposed. pClass can drive its learning engine from scratch with an empty rule base or initially trained fuzzy models. It adopts an open structure and plug and play concept where automatic knowledge building, rule-based simplification, knowledge recall mechanism, and soft feature reduction can be carried out on the fly with limited expert knowledge and without prior assumptions to underlying… CONTINUE READING
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Generalized recursive least square to the training of neural network

  • Y. Xu, K. W. Wong, C. S. Leung
  • IEEE Trans. Neural Netw., vol. 17, no. 1, pp. 19…
  • 2006
Highly Influential
8 Excerpts

Acquisition system and approximation of brain signals

  • J. J. Rubio, D. M. Vazquez, D. Mujica-Vargas
  • IET Sci., Meas. Technol., vol. 7, no. 4, pp. 232…
  • 2013
1 Excerpt

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