FUZZY TEMPLATES FOR PAIR-WISE MULTI-CLASS CLASSIFICATION

Rimantas Kybartas

2012

Abstract

In this paper, a pair-wise classifier fusion by Fuzzy Templates is analyzed. Single layer perceptron and support vectors are used as pair-wise classifiers. Comments on weakness and strength of such fusion method are presented. The obtained results show, that in some cases such an approach could be competitive or even outperform other pair-wise classifier fusion methods.

References

  1. Bishop, C. M., 1995. Neural Networks for Pattern Recognition. Oxford Univ. Press.
  2. Boser, B., Guyon, I., Vapnik, V., 1992. A Training Algorithm for Optimal Margin Classifiers. Proceedings of the Fith Annual Workshop on Computational Learning Theory, pages 144-152. ACM Press.
  3. Chang, C.-C., Lin, C.-J., 2001. LIBSVM: a library for support vector machines; http://www.csie.ntu.edu.tw/ cjlin/libsvm.
  4. Frank, A., Asuncion, A., 2010. UCI Machine Learning Repository. Irvine, CA: University of California, School of Information and Computer Science http://www.ics.uci.edu/mlearn/MLRepository.html.
  5. Haghigi, M. S., Vahedian, A., Yazdi, H. S., 2011. Extended Decision Template Presentation for Combining Classifiers. Expert Systems with Applications 38, pages. 8414-8418.
  6. Hastie, T. and Tibshirani, R., 1998. Classification by pairwise coupling. The Annals of Statistics, 26(1): 451-471.
  7. Krzysko, M., Wolynski, W., 2009. New variants of pairwise classification. European Journal of Operational Research (EOR) 199(2):512-519.
  8. Kuncheva, l., Bezdek, J. C., Sutton, M. A., 1998. On Combining Multiple Classifiers by Fuzzy Templates, Proceedings of the 1998 Annual Meeting of the North American Fuzzy Information Processing Society, 193 - 197.
  9. Platt J. C., Cristianini N., and Shawe-Taylor J., 2000. Large margin DAG's for multi-class classification. Advances in Neural Information Processing Systems. Cambridge, MA: MIT Press, vol. 12 pp. 547-553.
  10. Raudys, S., 1998. Evolution and generalization of a single neuron. I. SLP as seven statistical classifiers. Neural Networks 11: 283-96.
  11. Raudys, S., 2001. Statistical and Neural Classifiers: An integrated approach to design. Springer-Verlag, NY.
  12. Raudys., S, Kybartas R., Zavadskas, E. K., 2010. Multicategory Nets of Single-layer perceptrons: Complexity and Sample Size Issues, IEEE Transactions on Neural Networks, vol. 2, no. 5, 784 - 795.
  13. Skurichina, M., Raudys, S., Duin, R. P. W, 2000. K-NN directed noise injection in multilayer perceptron training, IEEE Trans. on Neural Networks, 11(2): 504-511.
Download


Paper Citation


in Harvard Style

Kybartas R. (2012). FUZZY TEMPLATES FOR PAIR-WISE MULTI-CLASS CLASSIFICATION . In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-8425-99-7, pages 564-567. DOI: 10.5220/0003766505640567


in Bibtex Style

@conference{icpram12,
author={Rimantas Kybartas},
title={FUZZY TEMPLATES FOR PAIR-WISE MULTI-CLASS CLASSIFICATION},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},
year={2012},
pages={564-567},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003766505640567},
isbn={978-989-8425-99-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
TI - FUZZY TEMPLATES FOR PAIR-WISE MULTI-CLASS CLASSIFICATION
SN - 978-989-8425-99-7
AU - Kybartas R.
PY - 2012
SP - 564
EP - 567
DO - 10.5220/0003766505640567