Luc De Raedt is a full professor at the KU Leuven, where he also obtained his Ph.D. in 1991. From 1999-2006 he was a full professor at the Albert-Ludwigs-University Freiburg. His research interest focusses on statistical relational learning and combining constraint programming with machine learning. He is also interested in applications in bioinformatics, robotics, vision and natural language processing. He was a program-chair of conferences such as ECML/PKDD 2001, ICML 2005 and ECAI 2014 and coordinated a number of European projects such as ILP, APRIL and ICON.
One of his recent books is Probabilistic Inductive Logic Programming.
ProbLog is a tool that allows you to intuitively build programs that do not only encode complex interactions between a large sets of heterogenous components but also the inherent uncertainties that are present in real-life situations.
The engine tackles several tasks such as computing the marginals given evidence and learning from (partial) interpretations. ProbLog is a suite of efficient algorithms for various inference tasks. It is based on a conversion of the program and the queries and evidence to a weighted Boolean formula. This allows us to reduce the inference tasks to well-studied tasks such as weighted model counting, which can be solved using state-of-the-art methods known from the graphical model and knowledge compilation literature.
8th International Web Rule Symposium (RuleML 2014) will take place In conjunction with ECAI 2014, the 21st European Conference on Artificial Intelligence Prague, Czech Republic, August 18-20, 2014.