Well-calibrated prediction intervals for regression problems.
Nicolas DewolfBernard De BaetsWillem WaegemanPublished in: CoRR (2021)
Keyphrases
- regression problems
- prediction intervals
- linear regression
- linear regression model
- regression methods
- regression model
- confidence level
- travel time
- cross validation
- genetic programming
- least squares
- input space
- high dimensional data
- model selection
- multi task
- hyperparameters
- random forests
- machine learning
- support vector machine
- genetic algorithm
- decision trees
- support vector
- lower bound
- dimensionality reduction
- bayesian framework
- shortest path