- Inference and learning in probabilistic logic programs using weighted Boolean formulas(2015)
Authors: Daan Fierens, Guy Van den Broeck, Joris Renkens, Dimitar Shterionov, Bernd Gutmann, Ingo Thon, Gerda Janssens, Luc De Raedt
Pages: 358 - 401
- Gradient-based boosting for statistical relational learning: the relational dependency network case(2012)
Authors: Bernd Gutmann
Pages: 25 - 56
- On Continuous Distributions and Parameter Estimation in Probabilistic Logic Programs (Over continue verdelingen en het schatten van parameters in probabilistische logische programma's)(2011)
Authors: Bernd Gutmann, Luc De Raedt
Number of pages: 191
- The magic of logical inference in probabilistic programming(2011)
Authors: Bernd Gutmann, Ingo Thon, Angelika Kimmig, Maurice Bruynooghe, Luc De Raedt
Pages: 663 - 680
- Inference in probabilistic logic programs using weighted CNF's(2011)
Authors: Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt
Pages: 211 - 220
- ProbLog technology for inference in a probabilistic first order logic(2010)
Authors: Maurice Bruynooghe, Theofrastos Mantadelis, Angelika Kimmig, Bernd Gutmann, Joost Vennekens, Gerda Janssens, Luc De Raedt
Pages: 719 - 724
- Probabilistic programming for planning problems(2010)
Authors: Ingo Thon, Bernd Gutmann, Guy Van den Broeck, Kristian Kersting, Stuart Russell, Leslie Pack Kaelbling, Alon Halevy, Sriraam Natarajan, Lilyana Mihalkova
Pages: 98 - 99
- Combining video and sequential statistical relational techniques to monitor card games(2010)
Authors: Bernd Gutmann, Ingo Thon, Luc De Raedt
Pages: 1 - 6
- Learning the parameters of probabilistic logic programs from interpretations(2010)
Authors: Bernd Gutmann, Ingo Thon, Luc De Raedt
Pages: 581 - 596
Number of pages: 16
- Boosting relational dependency networks(2010)
Authors: Bernd Gutmann
Pages: 1 - 8