A Semi-naive Bayesian Learning Method for Utilizing Unlabeled Data.
Chang-Hwan LeePublished in: KES (1) (2006)
Keyphrases
- naive bayesian
- unlabeled data
- prior knowledge
- semi supervised learning
- active learning
- unsupervised learning
- supervised learning algorithms
- learning process
- learning algorithm
- semi supervised
- supervised learning
- labeled data
- classification accuracy
- training set
- co training
- labeled and unlabeled data
- transductive learning
- feature set
- probabilistic model
- training examples
- regression model
- cross validation
- bayesian framework
- positive examples
- reinforcement learning
- decision trees