Evidence-Based Clustering for Scalable Inference in Markov Logic

@inproceedings{Venugopal2014EvidenceBasedCF,
  title={Evidence-Based Clustering for Scalable Inference in Markov Logic},
  author={Deepak Venugopal and Vibhav Gogate},
  booktitle={AAAI Workshop: Statistical Relational Artificial Intelligence},
  year={2014}
}
Markov Logic is a powerful representation that unifies first-order logic and probabilistic graphical models. However, scaling-up inference in Markov Logic Networks (MLNs) is extremely challenging. Standard graphical model inference algorithms operate on the propositional Markov network obtained by grounding the MLN and do not scale well as the number of objects in the realworld domain increases. On the other hand, algorithms which perform inference directly at the first-order level, namely… CONTINUE READING
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