#load Mudim
require(mudim)
#create two simple distributions
p1 <- Distribution("pi1")
data <- matrix(c(0,0,1,1,0,1,0,1,.25,.25,.25,.25),nrow=4)
data
setData(p1,data)
setVariables(p1,c("x1","x2"))
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Chairman
prof. RNDr. Milan Mareš, DrSc. - Institute of Information Theory and Automation of the ASCR
Vice chairman
prof. RNDr. Jiří Wiedermann, DrSc. - Institute of Computer Science of the ASCR
Members
prof. Ing. Jan Flusser, DrSc. - Institute of Information Theory and Automation of the ASCR
7th
Workshop on Uncertainty Processing
WUPES'06
Mikulov,
Czech Republic
16 - 20th September, 2006