Locally Weighted Learning: How and When Does it Work in Bayesian Networks?
Jia WuBi WuShirui PanHaishuai WangZhihua CaiPublished in: Int. J. Comput. Intell. Syst. (2015)
Keyphrases
- bayesian networks
- probabilistic inference
- probabilistic model
- learning bayesian networks
- bayesian network structure
- expert knowledge
- inference in bayesian networks
- graphical models
- probability distribution
- probabilistic reasoning
- structure learning
- incomplete data
- conditional independence
- decision making
- diagnostic reasoning
- continuous variables
- parameter learning
- bayesian belief networks
- influence diagrams
- naive bayes
- multiply sectioned bayesian networks
- variable elimination
- bayesian network inference
- student modeling
- bayesian network learning
- causal relationships
- exact inference
- dynamic bayesian networks
- database
- markov networks
- random variables
- hidden markov models
- case study
- neural network
- real time