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Statistical relational learning : Structure learning for Markov logic networks
A Markov Logic Network is composed of a set of weighted first-order logic formulas. In this dissertation we propose several methods to learn a MLN structure from a... -
New structure learning algorithms and evaluation methods for large dynamic Ba...
Dynamic Bayesian networks (DBNs) are a class of probabilistic graphical models that has become a standard tool for modeling various stochastic time-varying phenomena....
