Direct Multiclass Boosting Using Base Classifiers' Posterior Probabilities Estimates.
Mathias BourelBadih GhattasPublished in: ICMLA (2017)
Keyphrases
- base classifiers
- multi class
- posterior probability
- bayesian networks
- ensemble learning
- boosting algorithms
- generative model
- probability distribution
- bayesian framework
- multiclass classification
- support vector machine
- cost sensitive
- class distribution
- pairwise
- error correcting output codes
- multi class classification
- binary classification
- probabilistic model
- ensemble classifier
- multiclass problems
- ensemble methods
- probability density function
- training error
- conditional probabilities
- data sets
- base learners
- feature selection
- binary classifiers
- multi task