Effective Estimation of Posterior Probabilities: Explaining the Accuracy of Randomized Decision Tree Approaches.
Wei FanEd GreengrassJoe McCloskeyPhilip S. YuKevin DrummeyPublished in: ICDM (2005)
Keyphrases
- posterior probability
- decision trees
- high quality
- classification accuracy
- bayesian networks
- bayes theorem
- active learning
- image processing
- bayesian framework
- probability density function
- naive bayes
- probability mass
- decision forest
- induction algorithms
- conditional probabilities
- machine learning algorithms
- prior knowledge
- training data
- clustering algorithm