Pseudo-posterior Parameters Learning of Markov Logic Networks
Chengmin Sun · Journal of Jilin University(Science Edition) · 2006
The theory and parameters learning of MLNs are introduced,and a parameter learning method based on posterior is proposed.With normal distribution as the prior and pseudo likelihood instead of(likelihood),the pseudo-posterior is maximized to learn parameters.Experimental results show MLNs parameters can be effectively learned,and the inference with the learned model is better that those with current parameter learning methods.