Nonparametric regression analysis of uncertain and imprecise data using belief functions.
Simon Petit-RenaudThierry DenoeuxPublished in: Int. J. Approx. Reason. (2004)
Keyphrases
- regression analysis
- imprecise data
- belief functions
- dempster shafer theory
- rough sets
- missing data
- dempster shafer
- regression model
- uncertain data
- uncertain information
- markov tree
- linear regression model
- factor analysis
- explanatory variables
- probability theory
- combination rule
- rough set theory
- naive bayes classifier
- fuzzy numbers
- neural network
- statistical tests
- decision rules
- model selection
- semi supervised
- decision making
- genetic algorithm
- machine learning
- real world