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DMIN
2008
147views Data Mining» more  DMIN 2008»
13 years 6 months ago
Naive credal classifier 2: an extension of naive Bayes for delivering robust classifications
Naive credal classifier 2 (NCC2) extends naive Bayes in order to deliver more robust classifications. NCC2 is based on a set of prior densities rather than on a single prior; as a ...
Giorgio Corani, Marco Zaffalon
JMLR
2008
104views more  JMLR 2008»
13 years 5 months ago
Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2
In this paper, the naive credal classifier, which is a set-valued counterpart of naive Bayes, is extended to a general and flexible treatment of incomplete data, yielding a new cl...
Giorgio Corani, Marco Zaffalon
IPMU
2010
Springer
13 years 2 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
BMVC
2010
13 years 3 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...
CIKM
2005
Springer
13 years 10 months ago
A novel refinement approach for text categorization
In this paper we present a novel strategy, DragPushing, for improving the performance of text classifiers. The strategy is generic and takes advantage of training errors to succes...
Songbo Tan, Xueqi Cheng, Moustafa Ghanem, Bin Wang...