Boosting conditional probability estimators.
Dan GutfreundAryeh KontorovichRan LevyMichal Rosen-ZviPublished in: Ann. Math. Artif. Intell. (2017)
Keyphrases
- conditional probabilities
- confidence intervals
- variance reduction
- probabilistic inference
- probability distribution
- probabilistic model
- bayesian networks
- bayesian model
- random variables
- posterior probability
- prior probabilities
- joint distribution
- belief networks
- joint probability
- network parameters
- feature selection
- class labels
- learning algorithm
- discrete random variables
- weak learners
- ensemble learning
- ensemble methods
- unsupervised learning