Boostr
Boosted STatistical Relational Learning
Boosted STatistical Relational Learning
Boostr learns the structure of Relational Dependency Networks (RDNs) and Markov Logic Networks (MLNs). It uses functional-gradient boosting to
efficiently learn the structure represented by a set of relational trees.
Publications
S. Natarajan, T. Khot, K. Kersting, B. Gutmann & J. Shavlik (2012).
Gradient-based Boosting for Statistical Relational Learning: The Relational Dependency Network Case. Machine Learning
Gradient-based Boosting for Statistical Relational Learning: The Relational Dependency Network Case. Machine Learning
T. Khot, S. Natarajan, K. Kersting & J. Shavlik (2011).
Learning Markov Logic Networks via Functional Gradient Boosting. Proceedings of the IEEE International Conference on Data Mining (ICDM).
Slides (PPTX).
Learning Markov Logic Networks via Functional Gradient Boosting. Proceedings of the IEEE International Conference on Data Mining (ICDM).
Slides (PPTX).
