SEARCHING OPTIMAL SIGMA PARAMETER IN RADIAL BASIS KERNEL SUPPORT VECTOR MACHINE FOR CLASSIFICATION OF HIV SUB-TYPE VIRUSES

Zeyneb Kurt, Oguzhan Yavuz

2010

Abstract

We propose intelligent methods to classify two different HIV virus types, i.e., R5X4 and R5 or X4 with low computational complexity. Since R5X5 virus has same the features of R5 and X4 viruses, diagnosis of R5X4 can not be determined easily. In this study, the statistical data of R5X4, R5 and X4 was obtained by accessible residues and modelled by Auto-regressive (AR) model. After that the pre-processed data was used for determining the optimal value in Radial Basis Kernel of Support Vector Machine (SVM).

References

  1. Berger, E. A., Murphy, P. M., and Farber, J. M. (1999) Chemokine Receptors as HIV-1 Coreceptors: Roles in Viral Entry, Tropism, and Disease. Ann. Rev. Immunology. 17, 675-700.
  2. Resch, W., Hoffman, N., and Swanstrom, R. (2001). Improved Success of Phenotype Prediction of the Human Immunodeficiency Virus Type 1 from Envelope Variable Loop 3 Sequence Using Neural Networks. Journal of Virology. 76, 3852-3864.
  3. Wang, D., and Larder, B. (2003). Enhanced Prediction of
Download


Paper Citation


in Harvard Style

Kurt Z. and Yavuz O. (2010). SEARCHING OPTIMAL SIGMA PARAMETER IN RADIAL BASIS KERNEL SUPPORT VECTOR MACHINE FOR CLASSIFICATION OF HIV SUB-TYPE VIRUSES . In Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2010) ISBN 978-989-8425-19-5, pages 163-166. DOI: 10.5220/0002998101630166


in Bibtex Style

@conference{sigmap10,
author={Zeyneb Kurt and Oguzhan Yavuz},
title={SEARCHING OPTIMAL SIGMA PARAMETER IN RADIAL BASIS KERNEL SUPPORT VECTOR MACHINE FOR CLASSIFICATION OF HIV SUB-TYPE VIRUSES},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2010)},
year={2010},
pages={163-166},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002998101630166},
isbn={978-989-8425-19-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2010)
TI - SEARCHING OPTIMAL SIGMA PARAMETER IN RADIAL BASIS KERNEL SUPPORT VECTOR MACHINE FOR CLASSIFICATION OF HIV SUB-TYPE VIRUSES
SN - 978-989-8425-19-5
AU - Kurt Z.
AU - Yavuz O.
PY - 2010
SP - 163
EP - 166
DO - 10.5220/0002998101630166