Maximum Likelihood Bounded Tree-Width Markov Networks

نویسنده

  • Nathan Srebro
چکیده

We study the problem of projecting a distribution onto (or finding a maximum likelihood distribution among) Markov networks of bounded tree-width. By casting it as the combinatorial optimization problem of finding a maximum weight hypertree, we prove that it is NP-hard to solve exactly and provide an approximation algorithm with a provable performance guarantee.

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عنوان ژورنال:
  • Artif. Intell.

دوره 143  شماره 

صفحات  -

تاریخ انتشار 2001