Discriminative Structure Learning of Bayesian Network Classifiers from Training Dataset and Testing Instance.
Limin WangYang LiuMusa MammadovMinghui SunSikai QiPublished in: Entropy (2019)
Keyphrases
- bayesian network classifiers
- structure learning
- training dataset
- bayesian networks
- graphical models
- parameter learning
- training data
- conditional independence
- transfer learning
- training set
- training samples
- class labels
- parameter estimation
- discriminative learning
- network structure
- sample size
- benchmark data sets
- approximate inference
- computer vision
- naive bayes classifier
- continuous variables
- k means
- probabilistic model
- markov networks
- class imbalance
- least squares
- belief propagation
- generative model
- probability distribution