Learning bayesian network parameters from limited data by integrating entropy and monotonicity.
Zhiping FanLiang ZhouTemitope Emmanuel KomolafeZhengyun RenYinghao TongXue FengPublished in: Knowl. Based Syst. (2024)
Keyphrases
- data sets
- online learning
- image data
- raw data
- data collection
- measured data
- hidden variables
- data analysis
- data processing
- learning algorithm
- training data
- prior knowledge
- bayesian networks
- probability distribution
- end users
- database
- maximum likelihood
- data mining
- parameter learning
- learning models
- human experts
- information theoretic
- experimental data
- high dimensional data
- parameter estimation
- generative model
- feature space
- neural network
- knowledge discovery
- data points