We treat the problem of classifying documents as that of conducting
<term>
statistical hypothesis testing
</term>
over
<term>
finite mixture models
</term>
, and employ the
<term>
EM algorithm
</term>
to efficiently estimate
<term>
parameters
</term>
in a
<term>
finite mixture model
</term>
.
#29109We treat the problem of classifying documents as that of conducting statistical hypothesis testing over finite mixture models , and employ the EM algorithm to efficiently estimate parameters in a finite mixture model.