Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities.
Peter SollichPublished in: Mach. Learn. (2002)
Keyphrases
- bayesian methods
- class probabilities
- support vector
- hyperparameters
- cross validation
- model selection
- gaussian processes
- kernel function
- bayesian framework
- logistic regression
- binary classification
- support vector machine
- classification accuracy
- training examples
- gaussian process
- hyperplane
- machine learning
- machine learning methods
- kernel methods
- svm classifier
- em algorithm
- graph cuts
- probability density function
- incremental learning
- sample size
- error rate
- maximum likelihood
- support vectors
- multi class classification
- multi class