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BSL
2007
61views more  BSL 2007»
13 years 7 months ago
Incompleteness in a General Setting
John L. Bell
JMLR
2008
104views more  JMLR 2008»
13 years 7 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
CORR
2006
Springer
99views Education» more  CORR 2006»
13 years 7 months ago
Logical settings for concept learning from incomplete examples in First Order Logic
We investigate here concept learning from incomplete examples. Our first purpose is to discuss to what extent logical learning settings have to be modified in order to cope with da...
Dominique Bouthinon, Henry Soldano, Véroniq...
JUCS
2007
84views more  JUCS 2007»
13 years 7 months ago
Deriving Consensus for Hierarchical Incomplete Ordered Partitions and Coverings
: A method for determining consensus of hierarchical incomplete ordered partitions and coverings of sets is presented in this chapter. Incomplete ordered partitions and coverings a...
Marcin Hernes, Ngoc Thanh Nguyen
JCIT
2007
107views more  JCIT 2007»
13 years 7 months ago
A New Approach to Computing Weighted Attributes Values in Incomplete Information Systems
The Rough Sets theory has been conceived to deal with inexact, uncertain or vague knowledge in Information systems. The article is devoted to propose notions including the general...
Tian Hong, Wang Xiukun, Henryk Rybinski