Bayesian Active Learning for Censored Regression.
Frederik Boe HüttelChristoffer RiisFilipe RodriguesFrancisco Câmara PereiraPublished in: CoRR (2024)
Keyphrases
- active learning
- sparse bayesian learning
- survival analysis
- gaussian processes
- active sampling
- regression model
- relevance vector machine
- semi supervised
- selective sampling
- labeled data
- learning algorithm
- support vector regression
- survival data
- bayesian networks
- model averaging
- regression analysis
- learning strategies
- machine learning
- bayesian learning
- dirichlet process mixture
- bayesian inference
- semi supervised learning
- experimental design
- linear regression
- maximum likelihood
- training examples
- regression function
- supervised learning
- model selection
- crowd sourced
- locally weighted
- sample size
- gaussian process
- transfer learning
- batch mode
- data mining methods
- regression method
- random sampling