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How do we learn such models
from a database. If an expert
specifies the dependency graph of the PRM, the task of estimating
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the parameters is fairly
easy.
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E.g. to estimate
P(A|high,easy) we simply compute the ratio of A-grades received by highly
intelligent students in easy classes
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To all grades received by
highly intelligent students in easy classes.
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Note that we can estimate
each cond prob table independently of others.
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However, often variables of
interest are not all observed in the database. How can we estimate parameters in such
cases?
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