Assigning Different Weights to Feature Values in Naive Bayes.
Chang-Hwan LeePublished in: SCDS (2016)
Keyphrases
- naive bayes
- feature values
- training data
- weight vector
- decision trees
- classification accuracy
- logistic regression
- text classification
- information content
- feature space
- naive bayes classifier
- text categorization
- missing values
- bayesian networks
- feature selection
- data sets
- bayesian network classifiers
- averaged one dependence estimators
- augmented naive bayes
- support vector machine
- learning algorithm
- natural images
- probability density
- supervised learning
- training set
- machine learning
- data mining