The use of mixtures for dealing with non-normal regression errors.
Francesco BartolucciLuisa ScacciaPublished in: Comput. Stat. Data Anal. (2005)
Keyphrases
- regression model
- model selection
- linear regression
- regression problems
- neural network
- ridge regression
- genetic algorithm
- mixture model
- error analysis
- classification and regression problems
- error accumulation
- locally weighted
- expected error
- regression algorithm
- regression methods
- regression analysis
- gaussian processes
- support vector regression
- image segmentation