Support vector classification with nominal attributes

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

Volumn 3801 LNAI, Issue , 2005, Pages 586-591

  Tian, Yingjie ^a   Deng, Naiyang ^b  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b CHINA AGRICULTURAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ERROR ANALYSIS; VECTOR QUANTIZATION;

LEAVE-ONE-OUT ERROR; SUPPORT VECTOR CLASSIFICATION;

CLASSIFICATION (OF INFORMATION);

EID: 33646843418     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11596448_86     Document Type: Conference Paper

References (4)

1. Schölkopf, B., Smola, A. J.: Learning with Kernels-Support Vector Machines, Regularization, Optimization, and Beyond. The MIT Press (2002)
2. Tsang, I.W., Kwok, J.T.: Distance metric learning with kernels, in: Proceedings of the International Conference on Artificial Neural Networks, Istanbul, Turkey, June (2003)
3. Vapnik, V., Chapelle, O.: Bounds on error expectation for support vector machines. Neural Computation 12 (2000)
4. Blake,C.L., Merz,C.J.: UCI Repository of Machine Learning Databases, University of California, Irvine, (1998). http://www.ics.uci.edu/mlearn/ MLRepository.html