A Graph-Based Approach for Active Learning in Regression.
Hongjing ZhangS. S. RaviIan DavidsonPublished in: SDM (2020)
Keyphrases
- active learning
- regression model
- directed graph
- graph theory
- active sampling
- random sampling
- graph structure
- training examples
- support vector regression
- random walk
- semi supervised learning
- weighted graph
- graph theoretic
- graph model
- directed acyclic graph
- graph databases
- semi supervised
- graph matching
- regression algorithm
- learning strategies
- model selection
- graph representation
- cost sensitive
- ridge regression
- batch mode
- bipartite graph
- neural network
- linear regression
- structured data
- training set
- learning algorithm
- data mining