Relational Classifiers in a Non-relational World: Using Homophily to Create Relations

  title={Relational Classifiers in a Non-relational World: Using Homophily to Create Relations},
  author={Sofus A. Macskassy},
  journal={2011 10th International Conference on Machine Learning and Applications and Workshops},
Research in the past decade on statistical relational learning (SRL) has shown the power of the underlying network of relations in relational data. Even models built using only relations often perform comparably to models built using sophisticated relational learning methods. However, many data sets -- such as those in the UCI machine learning repository -- contain no relations. In fact, many data sets either do not contain relations or have relations which are not helpful to a specific… CONTINUE READING


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