Probabilistic Semi-Supervised Learning via Sparse Graph Structure Learning.
Li WangRaymond H. ChanTieyong ZengPublished in: IEEE Trans. Neural Networks Learn. Syst. (2021)
Keyphrases
- semi supervised learning
- structure learning
- bayesian networks
- transfer learning
- graph based semi supervised learning
- label propagation
- graph construction
- semi supervised classification
- semi supervised
- graphical models
- markov logic networks
- labeled data
- unlabeled data
- probabilistic model
- parameter learning
- unsupervised learning
- conditional independence
- machine learning
- learning tasks
- generative model
- supervised learning
- training data
- co training
- probabilistic reasoning
- text categorization
- active learning
- posterior probability
- random walk
- statistical relational learning
- directed graph
- parameter estimation
- high dimensional
- conditional probabilities
- network structure
- markov networks
- probability distribution
- conditional random fields
- labeled and unlabeled data
- random projections
- image reconstruction
- data sets
- k nearest neighbor
- multi view
- data mining