Browsing Computer Science and Artificial Intelligence Lab (CSAIL) by Subject "maximum likelihood"

Now showing items 1-2 of 2

    • Learning from Incomplete Data 

      Ghahramani, Zoubin; Jordan, Michael I. (1995-01-24)
      Real-world learning tasks often involve high-dimensional data sets with complex patterns of missing features. In this paper we review the problem of learning from incomplete data from two statistical perspectives---the ...

    • Methods and Experiments With Bounded Tree-width Markov Networks 

      Liang, Percy; Srebro, Nathan (2004-12-30)
      Markov trees generalize naturally to bounded tree-width Markov networks, onwhich exact computations can still be done efficiently. However, learning themaximum likelihood Markov network with tree-width greater than 1 is ...