Targeted active learning for probabilistic models.
Christopher ToshMauricio TecWesley TanseyPublished in: CoRR (2022)
Keyphrases
- probabilistic model
- active learning
- graphical models
- latent variables
- semi supervised
- learning strategies
- language model
- bayesian inference
- machine learning
- bayesian networks
- selective sampling
- conditional random fields
- generative model
- training examples
- learning algorithm
- random sampling
- hidden variables
- supervised learning
- pool based active learning
- learning process
- experimental design
- unlabeled data
- expectation maximization
- active learning strategies
- batch mode
- topic models
- training set
- relevance feedback
- probabilistic modeling
- text classification
- target audience
- annotation effort
- labeled data
- imbalanced data classification