RISO: distributed, heterogeneous Bayesian belief networks. Belief network: a probability model defined on an acyclic directed graph; distributed: nodes can be on different hosts; and heterogeneous: allowing different types of conditional distributions.
robert_dodier commented on the remove ID_GD_D.java and rename IndexedDistribution_Gausssian artifact
robert_dodier created the need "get_evidence" method in BeliefNetwork artifact
robert_dodier created the enable import of slices of temporal bn artifact
robert_dodier created the need to run gibbs sampling from within compute_posterior artifact
robert_dodier created the need to implement a conditioning algorithm artifact
robert_dodier created the need to be able to import a slice of a temporal bn artifact
robert_dodier created the need to resolve LOOP IN BELIEF NETWORK problem artifact
robert_dodier created the GibbsSampler should print mean values at end of simulation artifact
robert_dodier created the be more careful about using associate_variable artifact
robert_dodier created the remove ID_GD_D.java and rename IndexedDistribution_Gausssian artifact
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