Belief Nets
A belief net is a directed
acyclic graph composed of
stochastic variables.
We get to observe some of
the variables and we would
like to solve two problems:
The inference problem: Infer
the states of the unobserved
variables.
The learning problem: Adjust
the interactions between
variables to make the
network more likely to
generate the observed data.
stochastic
hidden
cause
visible
effect