Using Belief Networks to Neutralize Known Dependencies in Conceptual Clustering.
Jan RamonLuc DehaspePublished in: ILP Work-in-progress reports (2000)
Keyphrases
- belief networks
- conceptual clustering
- graphical models
- bayesian belief networks
- formal concept analysis
- conditional probabilities
- concept lattice
- rule induction
- machine learning
- probability distribution
- horn clauses
- knowledge discovery in databases
- belief propagation
- pairwise
- knowledge discovery
- random variables
- data sets
- multilayer perceptron
- data structure
- decision trees