Probabilistic Inference Trees for Classification and Ranking.
Jiang SuHarry ZhangPublished in: Canadian Conference on AI (2006)
Keyphrases
- probabilistic inference
- decision trees
- graphical models
- influence diagrams
- classification accuracy
- bayesian networks
- message passing
- approximate inference
- conditional probabilities
- belief networks
- machine learning
- class labels
- efficient inference
- bayesian belief networks
- context specific independence
- support vector machine svm
- text classification
- support vector
- exact inference
- feature selection
- compact representations
- weighted model counting
- supervised learning
- support vector machine
- artificial neural networks
- training set
- feature space
- search algorithm
- neural network
- bucket elimination
- junction tree
- boolean functions
- naive bayes
- training samples