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Showing results 5 to 18 of 18
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Issue Date
Title
Author(s)
2009-08-27
Elicitating sugeno integrals: Methodology and a case study
Prade, H
;
Rico, A
;
Serrurier, M
;
Raufaste, E
2009-10-16
Elicitation of sugeno integrals: A version space learning perspective
Prade, H
;
Rico, A
;
Serrurier, M
2015-01-01
Entropy evaluation based on confidence intervals of frequency estimates: Application to the learning of decision trees
Serrurier, M
;
Prade, H
2010-10-25
From Bayesian classifiers to possibilistic classifiers for numerical data
Bounhas, M
;
Mellouli, K
;
Prade, H
;
Serrurier, M
2011-10-19
Imprecise regression based on possibilistic likelihood
Serrurier, M
;
Prade, H
2008-03-15
Improving inductive logic programming by using simulated annealing
Serrurier, M
;
Prade, H
2013-09-01
An informational distance for estimating the faithfulness of a possibility distribution, viewed as a family of probability distributions, with respect to data
Serrurier, M
;
Prade, H
2011-09-27
Maximum-likelihood principle for possibility distributions viewed as families of probabilities
Serrurier, M
;
Prade, H
2014-03-16
Naive possibilistic classifiers for imprecise or uncertain numerical data
Bounhas, M
;
Ghasemi Hamed, M
;
Prade, H
;
Serrurier, M
;
Mellouli, K
2013-01-01
Possibilistic classifiers for numerical data
Bounhas, M
;
Mellouli, K
;
Prade, H
;
Serrurier, M
2011-07-14
Possibilistic classifiers for uncertain numerical data
Bounhas, M
;
Prade, H
;
Serrurier, M
;
Mellouli, K
2012-11-02
A possibilistic rule-based classifier
Bounhas, M
;
Prade, H
;
Serrurier, M
;
Mellouli, K
2013-10-09
A scalable learning algorithm for kernel probabilistic classifier
Serrurier, M
;
Prade, H
2010-12-01
Why imprecise regression: A discussion
Prade, H
;
Serrurier, M