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2010 – 2019
- 2015
[j3]Dries De Maeyer, Bram Weytjens, Joris Renkens, Luc De Raedt
, Kathleen Marchal:
PheNetic: network-based interpretation of molecular profiling data. Nucleic Acids Res. 43(Webserver-Issue): W244-W250 (2015)- [j2]Daan Fierens, Guy Van den Broeck, Joris Renkens, Dimitar Sht. Shterionov, Bernd Gutmann, Ingo Thon, Gerda Janssens, Luc De Raedt:
Inference and learning in probabilistic logic programs using weighted Boolean formulas. Theory Pract. Log. Program. 15(3): 358-401 (2015) - [c5]Anton Dries, Angelika Kimmig, Wannes Meert, Joris Renkens, Guy Van den Broeck, Jonas Vlasselaer, Luc De Raedt:
ProbLog2: Probabilistic Logic Programming. ECML/PKDD (3) 2015: 312-315 - [i2]Joris Renkens, Angelika Kimmig, Luc De Raedt:
Lazy Explanation-Based Approximation for Probabilistic Logic Programming. CoRR abs/1507.02873 (2015) - 2014
- [c4]Joris Renkens, Angelika Kimmig, Guy Van den Broeck, Luc De Raedt:
Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics. AAAI 2014: 2490-2496 - [c3]Joris Renkens, Angelika Kimmig, Guy Van den Broeck, Luc De Raedt:
Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics. StarAI@AAAI 2014 - [c2]Dimitar Sht. Shterionov, Joris Renkens, Jonas Vlasselaer, Angelika Kimmig, Wannes Meert, Gerda Janssens:
The Most Probable Explanation for Probabilistic Logic Programs with Annotated Disjunctions. ILP 2014: 139-153 - 2013
- [i1]Daan Fierens, Guy Van den Broeck, Joris Renkens, Dimitar Sht. Shterionov, Bernd Gutmann, Ingo Thon, Gerda Janssens, Luc De Raedt:
Inference and learning in probabilistic logic programs using weighted Boolean formulas. CoRR abs/1304.6810 (2013) - 2012
- [j1]Joris Renkens, Guy Van den Broeck, Siegfried Nijssen:
k-Optimal: a novel approximate inference algorithm for ProbLog. Mach. Learn. 89(3): 215-231 (2012) - 2011
- [c1]Joris Renkens, Guy Van den Broeck, Siegfried Nijssen:
k-Optimal: A Novel Approximate Inference Algorithm for ProbLog. ILP 2011: 33-38
Coauthor Index
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