Marginally Calibrated Deep Distributional Regression.
Nadja KleinDavid J. NottMichael Stanley SmithPublished in: J. Comput. Graph. Stat. (2021)
Keyphrases
- regression model
- polynomial regression
- regression analysis
- regression methods
- co occurrence
- linear regression
- partial least squares
- multi view
- support vector regression
- regression problems
- sparse bayesian learning
- data sets
- classification and regression problems
- gaussian process regression
- deep learning
- simple linear
- genetic programming
- feature selection
- special case
- pairwise
- support vector
- regression algorithm
- computer vision
- data mining