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We have the Markov network over 3 binary variables: . We define a pairwise Markov random field ( MRF ) over this network. We define
We have the Markov network over binary variables: We define a pairwise
Markov random field MRF over this network. We define the following features.
otherwise. ln q
otherwise. ln
# otherwise. # ln
$ otherwise. $ ln
otherwise. ln
&
#$# times
Note that to simplify the notation, we simply wrote though features are
defined only over nodes and edges. Assume ignores the variables that it is not defined
over. For example, Populate the following table.
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