MATEC Web of Conferences
Volume 58, 2016The 3rd Bali International Seminar on Science & Technology (BISSTECH 2015)
|Number of page(s)||4|
|Section||Information Technology and Information Systems|
|Published online||23 May 2016|
- Anggraeny F.T., Widiasri M. 2013. Voting of Artificial Neural Network Particle Swarm Optimization Biclassifier using Gain Ratio Feature Selection. KURSOR Journal: Research on Computing and Its Application, Vol. 7, No. 2, pp. 69-74, ISSN: 0216-0544.
- Blake C.L., Merz C.J. 1998. University of California at Irvine Repository of Machine Learning Databases, University of California, Irvine, 1998. http://www.ics.uci.edu/mlearn/MLRepository.html.
- Huang C.L., & Dun J.F. 2008. A distributed PSO–SVM Hybrid System with Feature Selection and Parameter Optimization. Journal of Applied Soft Computing, Vol. 8, Issue 4, pp. 1381–1391. [CrossRef]
- Huang G.B., Zhu Q.Y., Siew C.K. 2004. Extreme Learning Machine: A New Learning Scheme of Feedforward Neural Networks. Proceedings of IEEE International Joint Conference on Neural Network (IJCNN), Vol. 2, pp.985-990.
- Huang G.B., Zhu Q.Y., Siew C.K. 2006. Extreme Learning Machine: Theory and Applications. Journal of Neurocomputing, Vol. 70, Issues 1-3, pp. 489-501. [CrossRef]
- Huang G., Huang G.B., Song S., You K. 2015. Trends in Extreme Learning Machine: A review. Journal of Neural Network, Vol. 61, pp. 32-48. [CrossRef]
- Kanan H.R., Faez K. 2008. An improved feature selection method based on ant colony optimization (ACO) evaluated on face recognition system. Journal of Applied Mathematics and Computation, Vol. 205, Issue 2, pp. 716–725. [CrossRef]
- Karegowda A.G., Manjunath A.S., Jayaram M.A. 2010. Comparative Study of Attribute Selection Using Gain Ratio Correlation based feature selection. International Journal of Information Technology and Knowledge Management, Vol. 2, No. 2, pp. 271-277.
- Khushaba R.N., Al-Ani A., Al-Jumaily A. 2011. Feature Subset Selection using Differential Evolution and a Statistical Repair Mechanism. Journal of Expert Systems with Applications, Vol. 38, Issue 9, pp. 11515–11526. [CrossRef]
- Liao T.W. 2010. Feature extraction and selection from acoustic emission signals with an application in grinding wheel condition monitoring. Journal of Engineering Applications of Artificial Intelligence, Vol. 23, Issue 1, pp. 74–84. [CrossRef]
- Priyadarsini, R.P., Valarmathi, M.L., Sivakumari, S. 2011. Gain Ratio Based Feature Selection Method For Privacy Preservation. ICTACT Journal On Soft Computing, Vol. 01, Issue. 04, pp 201-205.
- Yang H.C., Zhang S.B., Deng K.Z., DU P.J. 2007. Research into a Feature Selection Method for Hyperspectral Imagery Using PSO and SVM. Journal of China University of Mining & Technology, Vol. 17, Issue 4, pp. 473–478. [CrossRef]
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