Keyphrases
- naive bayes
- classification algorithm
- probabilistic model
- independence assumption
- k means
- conditional independence assumption
- naive bayes classifier
- text classification
- bayesian framework
- learning algorithm
- bayesian classifier
- expectation maximization
- classification accuracy
- training data
- decision trees
- training set
- bayesian networks
- feature selection
- boosted decision trees
- cost sensitive
- eye tracking
- regression model
- clustering method
- text categorization
- k nearest neighbor