VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning.
Jongwon ChoiKwang Moo YiJihoon KimJincho ChooByoungjip KimJin-Yeop ChangYoungjune GwonHyung Jin ChangPublished in: CoRR (2020)
Keyphrases
- class imbalance
- active learning
- variational bayes
- hyperparameters
- random sampling
- bayesian inference
- latent variables
- gaussian mixture model
- cost sensitive
- learning algorithm
- latent dirichlet allocation
- machine learning
- posterior distribution
- semi supervised
- imbalanced datasets
- training examples
- training set
- closed form
- labeled data
- supervised learning
- imbalanced class distribution
- learning process
- class distribution
- minority class
- incremental learning
- bayesian framework
- maximum likelihood
- concept drift
- sampling algorithm
- model selection
- em algorithm
- expectation maximization
- graphical models
- probabilistic model
- cross validation
- unlabeled data
- image segmentation