Comparing Case-Based Bayesian Network and Recursive Bayesian Multi-Net Classifiers.
Eugene Santos Jr.Ahmed HusseinPublished in: IC-AI (2004)
Keyphrases
- bayesian networks
- naive bayes
- bayes classification
- training data
- posterior probability
- probabilistic classifiers
- case based reasoning
- graphical models
- parameter learning
- decision trees
- learning bayesian networks
- conditional probabilities
- random variables
- svm classifier
- scoring metrics
- probabilistic inference
- bayesian network classifiers
- probabilistic model
- linear classifiers
- feature selection
- class conditional densities
- support vector
- classifier combination
- ensemble classifier
- structure learning
- probability distribution
- maximum likelihood
- conditional independence
- supervised classification
- incomplete data
- bayesian inference
- class labels
- augmented naive bayes
- training samples
- continuous variables
- posterior distribution
- training set
- structural learning
- logistic regression
- machine learning algorithms