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» Transferring Naive Bayes Classifiers for Text Classification
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AAAI
2007
13 years 7 months ago
Transferring Naive Bayes Classifiers for Text Classification
Wenyuan Dai, Gui-Rong Xue, Qiang Yang, Yong Yu
ICML
2003
IEEE
14 years 5 months ago
Tackling the Poor Assumptions of Naive Bayes Text Classifiers
Naive Bayes is often used as a baseline in text classification because it is fast and easy to implement. Its severe assumptions make such efficiency possible but also adversely af...
Jason D. Rennie, Lawrence Shih, Jaime Teevan, Davi...
ICML
2000
IEEE
14 years 5 months ago
Using Error-Correcting Codes for Text Classification
This paper explores in detail the use of Error Correcting Output Coding (ECOC) for learning text classifiers. We show that the accuracy of a Naive Bayes Classifier over text class...
Rayid Ghani
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
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