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Consider a distribution defined over binary variables: p(a,b,c)=p(a|b)p(b|c)p(c)with ?(? = ?? | ? = ??) = 0.3 , ?(? = ?? | ? = ??)
Consider a distribution defined over binary variables: p(a,b,c)=p(a|b)p(b|c)p(c)with
?(? = ?? | ? = ??) = 0.3 , ?(? = ?? | ? = ??) = 0.2 , ?(? = ?? | ? = ??) = 0.75
?(? = ?? | ? = ??) = 0.1 ,
?(? = ??) = 0.4,
What is the most likely joint configuration? That is
argmax
!,#,$
?(?,
?, ?)
?
Hint: It is not acceptable to just naively work out the 8 possible states to solve the
problem. Nave approach is only feasible for this example but not for a general problem
with many variables. Instead, you must use the max-product algorithm to solve this
problem.
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