A Theory of Probabilistic Boosting, Decision Trees and Matryoshki
Etienne GrossmannPublished in: CoRR (2006)
Keyphrases
- decision trees
- decision tree algorithm
- boosted decision trees
- machine learning
- probability theory
- probabilistic model
- ensemble methods
- base classifiers
- ensemble learning
- imprecise probabilities
- generative model
- feature selection
- predictive accuracy
- object detection
- decision tree induction
- classification trees
- bayesian networks
- random forests
- cost sensitive
- naive bayes
- classification rules
- theoretical framework
- machine learning algorithms
- general theory
- active learning
- data sets