A Graph-Based Approach for Active Learning in Regression.
Hongjing ZhangS. S. RaviIan DavidsonPublished in: CoRR (2020)
Keyphrases
- active learning
- active sampling
- regression model
- graph theory
- random walk
- directed graph
- semi supervised
- graph structure
- regression algorithm
- structured data
- weighted graph
- linear regression
- selective sampling
- training examples
- experimental design
- training set
- data sets
- graph databases
- graph model
- machine learning
- graph representation
- graph theoretic
- regression analysis
- regression problems
- directed acyclic graph
- regression methods
- learning process
- simple linear
- neural network
- spanning tree
- graph mining
- random sampling
- bipartite graph
- transfer learning
- supervised learning
- learning strategies