An Application of Support Vector Machine in Bioinformatics: Automated Recognition of Epileptiform Patterns in EEG Using SVM Classifier Designed by a Perturbation Method-Reference-Cited by-同舟云学术

An Application of Support Vector Machine in Bioinformatics: Automated Recognition of Epileptiform Patterns in EEG Using SVM Classifier Designed by a Perturbation Method

Published:2004 Issue: Volume: Page:462-471
ISSN:0302-9743
Container-title:Advances in Information Systems
language:
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Author:

Acır Nurettin,Güzeliş Cüneyt

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-30198-1_47.pdf

Reference13 articles.

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3. Acır, N., Öztura, İ., Kuntalp, M., Baklan, B., Güzeliş, C.: Automatic spike detection in EEG by a two stage procedure based on ANNs. In: Proceeding of International Conference on Artificial Neural Networks and Neural Information Processing, Istanbul, pp. 445–448 (2003)

4. Devijver, P.A., Kittler, J.: Pattern Recognition: A Statistical Approach. Prentice-Hall, Englewood Cliffs (1982)

5. Steppe, J.M., Bauer Jr, K.W.: Feature Sensitivity Measures. Computers Math. Applic. 23(2), 109–126 (1997)

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