Markov Logic Networks. Pedro Domingos Dept. Computer Science & Eng. University of Washington (Joint work with Matt Richardson). Overview. Representation Inference Learning Applications. Markov Logic Networks. A logical KB is a set of hard constraints on the set of possible worlds
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Dept. Computer Science & Eng.
University of Washington
(Joint work with Matt Richardson)
Suppose we have two constants: Anna (A) and Bob (B)
1. Start with an initial assignment to nodes
2. One node at a time, sample node given others
4. Use samples to compute P(X)
Feature count according to data
Feature count according to model
where nsati(x=v) is the number of satisfied groundingsof clause i in the training data when x takes value v
(124K Gibbs passes)