Optimal classifiers within a Bayesian framework.
Lori A. DaltonEdward R. DoughertyPublished in: SSP (2012)
Keyphrases
- dimensionality reduction
- bayesian framework
- feature selection
- prior knowledge
- generative model
- hyperparameters
- posterior probability
- bayesian model
- expectation maximization
- bayesian methods
- probability density function
- training data
- posterior distribution
- bayesian formulation
- gaussian process
- maximum a posteriori
- dynamic programming
- prior distribution
- model selection
- support vector
- decision trees
- machine learning methods
- em algorithm
- markov random field
- probabilistic model
- maximum likelihood
- probability distribution
- globally optimal