Markov Logic Network

Markov logic networks (MLNs) are a framework for statistical relational learning that combines first-order logic with Markov random fields. Developed by Pedro Domingos and Matthew Richardson, MLNs attach weights to logical formulas: a formula with a higher weight is a soft