Boosting Conditional Probability Estimators.
Dan GutfreundAryeh KontorovichRan LevyMichal Rosen-ZviPublished in: ISAIM (2014)
Keyphrases
- conditional probabilities
- probability distribution
- probabilistic model
- probabilistic inference
- bayesian networks
- confidence intervals
- random variables
- belief networks
- bayesian model
- joint distribution
- variance reduction
- posterior probability
- ensemble methods
- class labels
- network parameters
- learning algorithm
- joint probability
- feature selection
- base classifiers
- weak classifiers
- generative model
- boosting algorithms
- prior probabilities
- ensemble learning
- discrete random variables