Inference in a DAG with
replicated weights
etc.
h2
The variables in h0 are conditionally
independent given v0.
Inference is trivial. We just
multiply v0 by
This is because the model above
h0 implements a complementary
prior.
Inference in the DAG is exactly
equivalent to letting a Restricted
Boltzmann Machine settle to
equilibrium starting at the data.
v2
h1
v1
h0
v0