49 search results - page 1 / 10 » Naive Bayesian Rough Sets |
RSKT
2010
Springer
13 years 3 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...
RSKT
2007
Springer
13 years 11 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...
JCIT
2010
12 years 11 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
13 years 10 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
13 years 10 months ago
2006
IEEE
