The Use of Bayesian Framework for Kernel Selection in Vector Machines Classifiers.
Dmitry KropotovNikita PtashkoDmitry P. VetrovPublished in: CIARP (2005)
Keyphrases
- bayesian framework
- support vector
- linear classifiers
- prior knowledge
- hyperparameters
- generative model
- large margin classifiers
- learning machines
- posterior probability
- bayesian formulation
- gaussian process
- bayesian model
- kernel function
- maximum a posteriori
- training data
- decision trees
- gaussian kernels
- prior distribution
- posterior distribution
- feature vectors
- training set
- gaussian processes
- bayesian methods
- feature selection
- svm classifier
- multiple kernel learning
- probability density function
- model selection
- image reconstruction
- feature space
- high quality
- active learning
- machine learning
- cross validation