Uncertainty for Active Learning on Graphs.
Dominik FuchsgruberTom WollschlägerBertrand CharpentierAntonio OrozStephan GünnemannPublished in: CoRR (2024)
Keyphrases
- probabilistic model
- active learning
- semi supervised
- learning algorithm
- graph matching
- supervised learning
- directed graph
- graph theoretic
- graph representation
- graph databases
- graph model
- graph theory
- uncertain data
- learning strategies
- training examples
- sample selection
- relevance feedback
- inherent uncertainty
- active learning strategies
- random graphs
- robust optimization
- probability theory
- weighted graph
- expected utility
- experimental design
- graph mining
- random sampling
- labeled data
- learning process
- decision trees