A Variance Minimization Criterion to Active Learning on Graphs.
Ming JiJiawei HanPublished in: AISTATS (2012)
Keyphrases
- active learning
- pool based active learning
- selection criterion
- relative entropy
- learning strategies
- imbalanced data classification
- semi supervised
- graph theoretic
- objective function
- graph matching
- graph mining
- standard deviation
- directed graph
- selective sampling
- error minimization
- optimization criterion
- active learning strategies
- experimental design
- machine learning
- weighted graph
- transfer learning
- labeled data
- relevance feedback
- graph databases
- random sampling
- graph theory
- supervised learning
- sample selection
- reinforcement learning
- training data
- data sets