Imprecise Regression Based on Possibilistic Likelihood.
Mathieu SerrurierHenri PradePublished in: SUM (2011)
Keyphrases
- possibilistic logic
- maximum likelihood
- possibility distributions
- uncertain information
- possibility theory
- likelihood model
- machine learning
- expected utility
- rough sets
- logic programming
- qualitative and quantitative
- fuzzy numbers
- gaussian process
- log likelihood
- probabilistic model
- prior probabilities
- image segmentation
- case study
- likelihood ratio
- qualitative information
- feature selection
- database
- propositional variables
- approximate functional dependencies