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2011-09-27
Maximum-likelihood principle for possibility distributions viewed as families of probabilities
Serrurier, M
;
Prade, H
2016-01-01
Analogical classifiers: A theoretical perspective
Hug, N
;
Prade, H
;
Richard, G
;
Serrurier, M
2013-10-09
A scalable learning algorithm for kernel probabilistic classifier
Serrurier, M
;
Prade, H
2016-11-07
Analogy in recommendation. Numerical vs. Ordinal: A discussion
Hug, N
;
Prade, H
;
Richard, G
;
Serrurier, M
2012-11-05
Classification based on possibilistic likelihood
Serrurier, M
;
Prade, H
2011-10-19
Imprecise regression based on possibilistic likelihood
Serrurier, M
;
Prade, H
2011-07-14
Possibilistic classifiers for uncertain numerical data
Bounhas, M
;
Prade, H
;
Serrurier, M
;
Mellouli, K
2013-01-01
Possibilistic classifiers for numerical data
Bounhas, M
;
Mellouli, K
;
Prade, H
;
Serrurier, M
2012-11-02
A possibilistic rule-based classifier
Bounhas, M
;
Prade, H
;
Serrurier, M
;
Mellouli, K
2010-12-01
Why imprecise regression: A discussion
Prade, H
;
Serrurier, M
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Raufaste, E
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Artificial Intelligence & Image P...
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