Incremental Bayesian Network Learning for Scalable Feature Selection.
Grégory ThibaultAlex AussemStéphane BonnevayPublished in: IDA (2009)
Keyphrases
- bayesian network learning
- feature selection
- bayesian networks
- text categorization
- causal interactions
- mutual information
- parameter learning
- feature selection algorithms
- feature set
- incremental learning
- dimensionality reduction
- text classification
- model selection
- generative model
- probabilistic model
- machine learning algorithms
- feature subset
- statistical learning
- conditional independence
- support vector
- machine learning