Efficient heuristics for learning scalable Bayesian network classifier from labeled and unlabeled data.
Limin WangJunjie WangLu GuoQilong LiPublished in: Appl. Intell. (2024)
Keyphrases
- expectation maximization
- unsupervised learning
- labeled and unlabeled data
- probabilistic model
- bayesian network classifiers
- semi supervised learning
- unlabeled data
- semi supervised
- learning tasks
- learning process
- labeled data
- prior knowledge
- kernel learning
- bayesian networks
- learning algorithm
- conditional random fields
- supervised learning
- data sets
- small number
- multi class
- training set
- data mining