SVM kernel functions for classification

By Arti Patle, D. S. Chouhan. International Conference on Applied and Theoretical Electricity, 2013

301 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/d2abd739b76ab844988017a3963fef2620ebf482

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. F. Yu
2. Chen-meng Wang
3. Jun-feng Xie
4. Tao Huang
5. Renchao Xie
6. Jiang Liu
7. Yun-jie Liu
8. JingJing Wang

Citations in the corpus

• A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges (2019, methodology): “In general, the RBF-based SVM classifier has a relatively better performance than the other two kernel functions [104], [105].”