most citedMarginal Pseudo-Likelihood Learning of Markov Network structures

25 citations · 25 across the 1 of their papers we have counts for

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1 paper

stat.ML2014★ 25 cited

Marginal Pseudo-Likelihood Learning of Markov Network structures

Johan Pensar, Henrik Nyman, Juha Niiranen +1

Undirected graphical models known as Markov networks are popular for a wide variety of applications ranging from statistical physics to computational biology. Traditionally, learni…