Hyperparameter-free deep active learning for regression problems via query synthesis.
Simiao RenYang DengWillie J. PadillaJordan M. MalofPublished in: CoRR (2022)
Keyphrases
- regression problems
- active learning
- hyperparameters
- random sampling
- cross validation
- genetic programming
- linear regression
- model selection
- closed form
- gaussian process
- support vector
- gaussian processes
- input space
- bayesian inference
- bayesian framework
- maximum a posteriori
- feature selection
- maximum likelihood
- high dimensional data
- least squares
- noise level
- semi supervised
- multi task
- support vector machine
- random forests
- learning machines
- machine learning
- transfer learning
- principal component analysis
- feature vectors
- high dimensional
- data analysis