Joint estimation of posterior probability and propensity score function for positive and unlabelled data.
Konrad FurmanczykJan MielniczukWojciech RejchelPawel TeisseyrePublished in: CoRR (2022)
Keyphrases
- posterior probability
- joint estimation
- score function
- unlabelled data
- labelled data
- semi supervised
- co training
- bayesian networks
- generative model
- bayesian framework
- positive and negative
- intuitionistic fuzzy
- supervised and unsupervised learning
- probability distribution
- probability density function
- positive examples
- conditional probabilities
- interval valued
- learning phase
- probabilistic model
- fuzzy numbers
- semi supervised learning
- multi view
- labeled data
- training data
- negative examples
- group decision making
- unlabeled data
- supervised learning