Bayesian Minimum Mean-Square Error Estimation for Classification Error - Part II: Linear Classification of Gaussian Models.
Lori A. DaltonEdward R. DoughertyPublished in: IEEE Trans. Signal Process. (2011)
Keyphrases
- error estimation
- classification error
- generalization error
- linear classifiers
- model selection
- cross validation
- active learning
- learning algorithm
- maximum margin
- upper bound
- training set
- hyperparameters
- training data
- sample size
- bayesian networks
- supervised learning
- machine learning
- document classification
- maximum likelihood
- class labels
- training examples
- training samples
- mixture model
- expectation maximization
- objective function
- data mining