Comparative Analysis on Effect of Different SVM Kernel Functions for Classification

Author:

Virmani Deepali,Pandey Himakshi

Publisher

Springer Nature Singapore

Reference20 articles.

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2. Yang Y, Li J, Yang Y (2015) The research of the fast SVM classifier method. In: 2015 12th international computer conference on wavelet active media technology and information processing (ICCWAMTIP). IEEE, pp 121–124

3. Murty MN, Raghava R (2016) Kernel-based SVM. In: Support vector machines and perceptrons. Springer, Cham, pp 57–67

4. Dua D, Graff C (2019) UCI machine learning repository [http://archive.ics.uci.edu/ml]. University of California, School of Information and Computer Science, Irvine, CA

5. Fadel S, Ghoniemy S, Abdallah M, Sorra HA, Ashour A, Ansary A (2016) Investigating the effect of different kernel functions on the performance of SVM for recognizing Arabic characters. Int J Adv Comput Sci Appl 7(1):446–450

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