Learning Bayesian Network Parameters With Small Data Set: A Parameter Extension under Constraints Method.
Yongyan HouEnrang ZhengWenqiang GuoQinkun XiaoZiwei XuPublished in: IEEE Access (2020)
Keyphrases
- data sets
- parameter learning
- bayesian networks
- learning algorithm
- learning scheme
- parameter settings
- parameter values
- active learning
- sensitivity analysis
- parameter estimation
- structural learning
- single parameter
- optimal parameters
- maximum likelihood estimation
- linear model
- test data
- training data
- parameter space
- benchmark data sets
- input data
- support vector machine
- parameters estimation
- prior knowledge
- control parameters
- decision trees
- machine learning
- initial values
- bayesian network structure
- similarity measure
- bayesian methods
- objective function
- cost function
- model selection