Publication
Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning
Hendrik Blockeel; Karsten M. Borgwardt; Luc De Raedt; Pedro M. Domingos; Kristian Kersting; Xifeng Yan
In: Machine Learning, Vol. 83, No. 2, Pages 133-135, Springer, 2011.
Abstract
In 2009, three international conferences/workshops on learning from relational, graph-based and probabilistic data were co-located: ILP-2009, the 19th International Conference on Inductive Logic Programming; MLG-2009, the 7th International Workshop on Mining and Learning with Graphs; and SRL-2009, the International Workshop on Statistical Relational Learning. These events were organized in Leuven, Belgium, on July 2–4, 2009. The ILP conference series has been the premier forum for work on logic-based approaches to learning for almost two decades and has recently reached out to other forms of relational learning and to probabilistic approaches. The MLG workshop series focuses on graph-based approaches to machine learning and data mining while the SRL workshop series focuses on statistical inference and learning with relational and first-order logical