Optimal classifiers with minimum expected error within a Bayesian framework - Part II: Properties and performance analysis.
Lori A. DaltonEdward R. DoughertyPublished in: Pattern Recognit. (2013)
Keyphrases
- bayesian framework
- expected error
- prior knowledge
- generative model
- hyperparameters
- gaussian process
- worst case
- maximum a posteriori
- prior distribution
- training set
- support vector
- decision trees
- probability density function
- linear classifiers
- expectation maximization
- machine learning algorithms
- dynamic programming
- uniform distribution
- generalization bounds
- feature subset
- lower bound
- learning machines
- training data