A variational Bayesian framework for group feature selection.
Niranjan A. SubrahmanyaYung C. ShinPublished in: Int. J. Mach. Learn. Cybern. (2013)
Keyphrases
- bayesian framework
- feature selection
- prior knowledge
- hyperparameters
- generative model
- gaussian process
- posterior distribution
- posterior probability
- maximum a posteriori
- bayesian model
- bayesian formulation
- expectation maximization
- machine learning
- probability density function
- prior distribution
- mutual information
- bayesian methods
- support vector
- feature space
- image segmentation
- probabilistic model
- optical flow
- model selection
- feature extraction
- markov random field
- feature set
- gaussian processes
- ls svm
- variational methods