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» Robust Classification for Imprecise Environments
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CORR
2000
Springer
84views Education» more  CORR 2000»
9 years 6 months ago
Robust Classification for Imprecise Environments
In real-world environments it usually is difficult to specify target operating conditions precisely, for example, target misclassification costs. This uncertainty makes building ro...
Foster J. Provost, Tom Fawcett
IPMU
2010
Springer
9 years 4 months ago
Restricting the IDM for Classification
Abstract. The naive credal classifier (NCC) extends naive Bayes classifier (NBC) to imprecise probabilities to robustly deal with the specification of the prior; NCC models a state...
Giorgio Corani, Alessio Benavoli
EUSFLAT
2001
9 years 8 months ago
Imprecise belief updating for uncertain user modelling
In this paper we present a new approach to incremental user recognition in fuzzy environments where user classification is updated within an epistemological model. We extend Einho...
Jonathan Rossiter, Tru H. Cao, Trevor P. Martin, J...
BMVC
2010
9 years 5 months ago
Robust Texture Recognition Using Credal Classifiers
Texture classification is used for many vision systems; in this paper we focus on improving the reliability of the classification through the so-called imprecise (or credal) class...
Giorgio Corani, Alessandro Giusti, Davide Migliore...
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