NAT model-based compression of Bayesian network CPTs over multivalued variables.
Yang XiangQian JiangPublished in: Comput. Intell. (2018)
Keyphrases
- bayesian networks
- conditional probability tables
- conditional probabilities
- bayesian network structure
- structure learning algorithm
- causal relationships
- random variables
- continuous variables
- variable elimination
- conditional independencies
- image compression
- hidden variables
- structure learning
- markov blanket
- bayesian network structures
- inference in bayesian networks
- learning bayesian networks
- conditional independence
- compression scheme
- compression algorithm
- graphical models
- bayesian network inference
- belief networks
- probabilistic reasoning
- probabilistic model
- parameter learning
- observable variables
- bayesian belief networks
- soft constraints
- probability distribution
- variable selection
- incomplete data
- exact inference
- probabilistic inference
- wavelet transform
- compression ratio
- data compression
- knowledge engineering
- conditional probability distributions
- structural learning
- joint probability distribution
- diagnostic reasoning
- naive bayes
- knowledge acquisition
- bayesian network classifiers
- probabilistic networks
- data structure