An empirical study of scoring functions for learning Bayesian networks in model averaging.
Zhenyu A. LiaoCharupriya SharmaDongshu LuoPeter van BeekPublished in: AI (2022)
Keyphrases
- learning bayesian networks
- model averaging
- scoring functions
- bayesian network structures
- scoring function
- structure learning
- bayesian networks
- statistical data
- incomplete data
- bayesian network structure
- conditional independence
- graphical models
- markov networks
- posterior distribution
- similarity measure
- bayesian methods
- parameter estimation
- clustering algorithm
- data sets
- conditional probabilities
- equivalence classes
- network structure
- training data