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BNT can currently only handle offline smoothing.
(The HMM engine handles filtering and, to a limited extent, prediction.)
The usage is similar to static
inference engines, except now the evidence is a 2D cell array of
size ss*T, where ss is the number of nodes per slice (ss = slice sizee)  and T is the
number of slices.
Also, 'marginal_nodes' takes two arguments, the nodes and the time-slice.
For example, to compute P(X(i,t) | y(:,1:T)), we proceed as follows
(where onodes are the indices 