49 search results - page 1 / 10 » Naive Bayesian Rough Sets |
112
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RSKT
2010
Springer
14 years 7 months ago
2010
Springer
A naive Bayesian classifier is a probabilistic classifier based on Bayesian decision theory with naive independence assumptions, which is often used for ranking or constructing a...
125
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RSKT
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Decision-theoretic rough set models are a probabilistic extension of the algebraic rough set model. The required parameters for defining probabilistic lower and upper ap...
109
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JCIT
2010
14 years 4 months ago
2010
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
RSFDGRC
2005
Springer
15 years 3 months ago
2005
Springer
Pawlak recently introduced rough set flow graphs (RSFGs) as a graphical framework for reasoning from data. Each rule is associated with three coefficients, which have been shown t...
IAT
2006
IEEE
15 years 3 months ago
2006
IEEE
