Data associated with the Experiments

See also tech report (currently password protected).

Network format The network format is a simplified* version of the .net format used by by LibB (Friedman and Elidan). Alarm comes from the Bayesian Network Repository (See also Friedman et al. Challenge: Where is the impact of Bayesian networks in learning? IJCAI-97). Parameters are scaled by 100 to yield Dirichlet row distributions. This doesn't affect the samples, which are generated from a network with mean parameters. A network starts by defining variables, for example,

defines variable HISTORY taking on two values. Then the conditional probability tables are defined, for example,
parents HISTORY LVFAILURE
FALSE  20.000000 5.000000
TRUE  8.000000 471.000000
The first variable is the child, and the following variables are parents. In this case P(HISTORY|LVFAILURE) where the first row is the distribution P(HISTORY|LVFAILURE=FALSE) and the second row is P(HISTORY|LVFAILURE=TRUE). The first value of each row corresponds to HISTORY=FALSE; the second value of each row corresponds to HISTORY=TRUE.

* The difference between LibB's format and ours is that we ignore lisp quotes and brackets, using linebreaks and spacing instead.

Query format

The following is an example of a query

q STROKEVOLUME HIGH
o HYPOVOLEMIA TRUE
o ERRCAUTER TRUE
Each line that starts with 'q' is a query variable, each line that starts with 'o' is an evidence variable. This query is
	  P(STROKEVOLUME = HIGH | HYPOVOLEMIA = TRUE, ERRCAUTER = TRUE)