Learning Markov logic networks with limited number of labeled training examples
Tak-Lam Wong · International Journal of Knowledge-based and Intelligent Engineering Systems · 2014
Markov Logic Networks (MLN) is a unified framework integrating first-order logic and probabilistic inference. Most existing methods of MLN learning are supervised approaches requiring a large amount of training examples, leading to a substantial amou