Training of support vector machines with Mahalanobis kernels

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3697 LNCS, Issue , 2005, Pages 571-576

  Abe, Shigeo ^a  

^a KOBE UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; DATA ACQUISITION; OPTIMIZATION; PARAMETER ESTIMATION; PERSONNEL TRAINING;

GRID SEARCH; LINE SEARCH; MAHALANOBIS KERNELS; RADIAL BASIS FUNCTION (RBF) KERNELS;

NEURAL NETWORKS;

EID: 33646251134     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (5)

1. R. Herbrich. Learning Kernel Classifiers: Theory and Algorithms, MIT Press, Cambridge, MA, 2002.
2. F. Friedrichs and C. Igel. Evolutionary tuning of multiple SVM parameters. Proc. ESANN 2004, pp. 519-524, 2004.
3. S. Abe. Pattern Classification: Neuro-Fuzzy Methods and Their Comparison. Springer-Verlag, London, 2001.
4. S. Abe. Support Vector Machines for Pattern Classification. Springer-Verlag, New York, 2005.
5. K.-R. Müller, S. Mika, G. Rätsch, K. Tsuda, and B. Schölkopf. An introduction to kernel-based learning algorithms. IEEE Trans. Neural Networks, 12(2):181-201, 2001.