Posterior Consistency of Semi-Supervised Regression on Graphs.
Andrea L. BertozziBamdad HosseiniHao LiKevin MillerAndrew M. StuartPublished in: CoRR (2020)
Keyphrases
- semi supervised
- regression algorithm
- graph construction
- gaussian process
- semi supervised learning
- regression model
- graph embedding
- gaussian processes
- labeled data
- pairwise
- graph theoretic
- graph theory
- semi supervised classification
- unsupervised learning
- model selection
- graph matching
- active learning
- support vector regression
- probability distribution
- unlabeled data
- linear regression
- weighted graph
- posterior distribution
- regression analysis
- generative model
- label propagation
- supervised learning
- subspace learning
- semi supervised clustering
- manifold learning
- least squares
- multi view
- locally weighted
- class probabilities
- pairwise constraints
- regression problems
- posterior probability
- graph mining
- learning algorithm
- directed graph