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ICDM
2009
IEEE
107views Data Mining» more  ICDM 2009»
13 years 2 months ago
Naive Bayes Classification of Uncertain Data
Traditional machine learning algorithms assume that data are exact or precise. However, this assumption may not hold in some situations because of data uncertainty arising from mea...
Jiangtao Ren, Sau Dan Lee, Xianlu Chen, Ben Kao, R...
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 4 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
BIBE
2007
IEEE
120views Bioinformatics» more  BIBE 2007»
13 years 9 months ago
Quality Assessment of Affymetrix GeneChip Data using the EM Algorithm and a Naive Bayes Classifier
Recent research has demonstrated the utility of using supervised classification systems for automatic identification of low quality microarray data. However, this approach requires...
Brian E. Howard, Beate Sick, Imara Perera, Yang Ju...