AVT-NBL: An Algorithm for Learning Compact and Accurate Naïve Bayes Classifiers from Attribute Value Taxonomies and Data.
Jun ZhangVasant G. HonavarPublished in: ICDM (2004)
Keyphrases
- bayes classifiers
- learning algorithm
- attribute values
- data sets
- bayes classifier
- incomplete data
- prior knowledge
- bayesian classifiers
- relevant attributes
- input data
- noisy data
- reinforcement learning
- training data
- similarity measure
- numeric attributes
- missing values
- hidden variables
- tree augmented
- bayesian framework
- high dimensional data
- labeled data
- text classification
- supervised learning
- data points
- k means
- high dimensional