Large-Scale Semi-Supervised Learning via Graph Structure Learning over High-Dense Points.
Zitong WangLi WangRaymond H. ChanTieyong ZengPublished in: CoRR (2019)
Keyphrases
- learning process
- semi supervised learning
- structure learning
- transfer learning
- active learning
- graph based semi supervised learning
- label propagation
- graph construction
- semi supervised classification
- semi supervised
- labeled data
- unlabeled data
- bayesian networks
- graphical models
- supervised learning
- learning environment
- parameter learning
- co training
- unsupervised learning
- conditional independence
- parameter estimation
- data points
- learning algorithm
- markov logic networks
- text categorization
- machine learning
- training data
- network structure
- learning tasks
- labeled and unlabeled data
- directed acyclic graph
- random variables
- pairwise
- directed graph
- text classification
- model selection
- information extraction
- information retrieval
- training set
- similarity measure
- multi view
- markov networks
- random walk
- data mining
- sample size