Optimal classifiers with minimum expected error within a Bayesian framework - Part I: Discrete and Gaussian models.
Lori A. DaltonEdward R. DoughertyPublished in: Pattern Recognit. (2013)
Keyphrases
- bayesian framework
- gaussian model
- expected error
- expectation maximization
- generative model
- hyperparameters
- prior knowledge
- training set
- maximum a posteriori
- gaussian process
- worst case
- training data
- conditional independence
- probability density function
- mixture model
- dynamic programming
- lower bound
- uniform distribution
- learning machines
- video sequences
- decision trees
- support vector
- language model
- skin color
- optimal solution
- upper bound