ML Anthology

Improving Committee Diagnosis with Resampling Techniques

Bambang Parmanto, Paul W. Munro, Howard R. Doyle
NeurIPS 1995 pp. 882-888
/neurips/1995/parmanto1995neurips-improving/

Abstract

Central to the performance improvement of a committee relative to individual networks is the error correlation between networks in the committee. We investigated methods of achieving error indepen(cid:173) dence between the networks by training the networks with different resampling sets from the original training set. The methods were tested on the sinwave artificial task and the real-world problems of hepatoma (liver cancer) and breast cancer diagnoses.

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Text

Parmanto et al. "Improving Committee Diagnosis with Resampling Techniques." Neural Information Processing Systems, 1995.

Markdown

[Parmanto et al. "Improving Committee Diagnosis with Resampling Techniques." Neural Information Processing Systems, 1995.](https://mlanthology.org/neurips/1995/parmanto1995neurips-improving/)

BibTeX

@inproceedings{parmanto1995neurips-improving,
  title     = {{Improving Committee Diagnosis with Resampling Techniques}},
  author    = {Parmanto, Bambang and Munro, Paul W. and Doyle, Howard R.},
  booktitle = {Neural Information Processing Systems},
  year      = {1995},
  pages     = {882-888},
  url       = {https://mlanthology.org/neurips/1995/parmanto1995neurips-improving/}
}