Efficient learning of Naive Bayes classifiers under class-conditional classification noise.
François DenisChristophe Nicolas MagnanLiva RalaivolaPublished in: ICML (2006)
Keyphrases
- efficient learning
- class conditional
- classification noise
- naive bayes classifier
- naive bayes
- concept classes
- text classification
- maximum entropy
- membership queries
- learning algorithm
- class probabilities
- support vector machine
- classification error
- probability density function
- class specific
- noisy data
- nearest neighbor
- density function
- continuous variables
- decision trees
- co training
- text categorization
- semi supervised learning
- concept class
- uniform distribution
- likelihood function
- pac learning
- training data
- feature selection