Active Learning with Disagreement Graphs.
Corinna CortesGiulia DeSalvoMehryar MohriNingshan ZhangClaudio GentilePublished in: ICML (2019)
Keyphrases
- active learning
- random sampling
- machine learning
- learning algorithm
- selective sampling
- semi supervised
- labeled data
- batch mode
- supervised learning
- training examples
- learning strategies
- training set
- relevance feedback
- directed graph
- pool based active learning
- experimental design
- graph matching
- cost sensitive
- graph theory
- unlabeled data
- generalization error
- graph mining
- semi supervised learning
- learning process
- active learning strategies
- bipartite graph
- undirected graph
- complex structures
- graph kernels
- graph structures
- support vector machine
- data mining