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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 3 binary variables: . We define a pairwise
Markov random field (MRF) over this network. We define the following features.
!()=1=,0 otherwise. != ln (2).q
"()=1=,0 otherwise. "=ln (3).
#()=1=,0 otherwise. # = ln (4).
$(,)=1=,0 otherwise. $ =ln (5).
%(,)=1!=,0 otherwise. %= ln (6).
(,,)=1
& (!"
#$# \times *!(,,.,/)
Note that to simplify the notation, we simply wrote 2(,,), though features are
defined only over nodes and edges. Assume 2 ignores the variables that it is not defined
over. For example, !(,,)=!(). Populate the following table.

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