Support vector machines for classification in nonstandard situations

Machine Learning

Volumn 46, Issue 1-3, 2002, Pages 191-202

  Lin, Yi ^a   Lee, Yoonkyung ^a   Wahba, Grace ^a  

^a University of Wisconsin Madison   (United States)

Author keywords

Bayes rule; Classification; GACV; GCKL; Support vector machine

Indexed keywords

COMPUTER SIMULATION; LEARNING ALGORITHMS; MATHEMATICAL MODELS; PATTERN RECOGNITION; PROBABILITY; VECTORS;

SUPERVISED LEARNING; SUPPORT VECTOR MACHINE;

LEARNING SYSTEMS;

EID: 0036161029     PISSN: 08856125     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1012406528296     Document Type: Article

References (11)

1. A training algorithm for optimal margin classifiers
2. Knowledge-based analysis of microarray gene expression data by using support vector machines
3. A tutorial on support vector machines for pattern recognition
4. Asymptotic analysis of penalized likelihood and related estimates
5. Dynamically adapting kernels in support vector machines
6. A unified framework for regularization networks and support vector machines
7. Optimizing classifiers for imbalanced training sets
8. Support vector machines and the Bayes rule in classification
9. GACV for support vector machines, or, another way to look at margin-like quantities