Scaling the kernel function to improve performance of the support vector machine

Lecture Notes in Computer Science

Volumn 3496, Issue I, 2005, Pages 831-836

  Williams, Peter ^a   Li, Sheng ^a   Feng, Jianfeng ^a   Wu, Si ^a  

^a UNIVERSITY OF SUSSEX   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; COSTS; FUNCTIONS; OPTIMIZATION; PARAMETER ESTIMATION; VECTORS;

COMPUTATIONAL COSTS; KERNEL FUNCTIONS; SUPPORT VECTOR MACHINES (SVM);

COMPUTER SCIENCE;

EID: 24944547106     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11427391_133     Document Type: Conference Paper

References (5)

1. Vapnik, V.: The Nature of Statistical Learning Theory. Springer, New York (1995)
2. Scholkopf, B., Smola, A.: Learning with Kernels. MIT Press (2002)
3. Burges, C.: Geometry and Invariance in Kernel Based Method. In: Scholkopf, B., Burges, C., Smola, A. (eds.) Advances in Kernel Methods, MIT Press (1999) 89-116
4. Amari, S., Wu, S.: Improving Support Vector Machine Classifiers by Modifying Kernel Functions. Neural Networks, 12 (1999) 783-789
5. Wu, S., Amari, S.: Conformal Transformation of Kernel Functions: A Data-Dependent Way to Improve Support Vector Machine Classifiers. Neural Processing Letters, 15 (2001) 59-67