Bayesian decision theory for support vector machines: Imbalance measurement and feature optimization.
Che-Chang HsuKuo-Shong WangShih-Hsing ChangPublished in: Expert Syst. Appl. (2011)
Keyphrases
- bayesian decision
- support vector
- learning machines
- large margin classifiers
- optimization algorithm
- structural risk minimization
- feature vectors
- svm classification
- decision theory
- kernel function
- theoretical framework
- logistic regression
- optimization process
- optimization problems
- decision making
- radial basis function
- constrained optimization
- support vector machine
- probability distribution
- classification accuracy
- working set
- expert systems
- multi agent systems
- feature extraction