ML Anthology

Discovering Patterns in EEG-Signals: Comparative Study of a Few Methods

Miroslav Kubat, Doris Flotzinger, Gert Pfurtscheller
ECML-PKDD 1993 pp. 366-371
doi:10.1007/3-540-56602-3_152 /ecmlpkdd/1993/kubat1993ecml-discovering/

Abstract

The objective of this paper is to draw the attention of the ML -researchers to the domain of data analysis. The issue is illustrated by an attractive case study—automatic classification of non-averaged EEG -signals. We applied several approaches and obtained best results from a combination of an ID3 -like program with Bayesian learning.

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Cite

Text

Kubat et al. "Discovering Patterns in EEG-Signals: Comparative Study of a Few Methods." European Conference on Machine Learning, 1993. doi:10.1007/3-540-56602-3_152

Markdown

[Kubat et al. "Discovering Patterns in EEG-Signals: Comparative Study of a Few Methods." European Conference on Machine Learning, 1993.](https://mlanthology.org/ecmlpkdd/1993/kubat1993ecml-discovering/) doi:10.1007/3-540-56602-3_152

BibTeX

@inproceedings{kubat1993ecml-discovering,
  title     = {{Discovering Patterns in EEG-Signals: Comparative Study of a Few Methods}},
  author    = {Kubat, Miroslav and Flotzinger, Doris and Pfurtscheller, Gert},
  booktitle = {European Conference on Machine Learning},
  year      = {1993},
  pages     = {366-371},
  doi       = {10.1007/3-540-56602-3_152},
  url       = {https://mlanthology.org/ecmlpkdd/1993/kubat1993ecml-discovering/}
}