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ORCIDBernd Gutmann
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2010 – 2019
- 2015
[j4]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)- 2013
- [i3]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
- [j3]Sriraam Natarajan, Tushar Khot, Kristian Kersting, Bernd Gutmann, Jude W. Shavlik:
Gradient-based boosting for statistical relational learning: The relational dependency network case. Mach. Learn. 86(1): 25-56 (2012) - [i2]Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt:
Inference in Probabilistic Logic Programs using Weighted CNF's. CoRR abs/1202.3719 (2012) - 2011
- [b1]Bernd Gutmann:
On Continuous Distributions and Parameter Estimation in Probabilistic Logic Programs (Over continue verdelingen en het schatten van parameters in probabilistische logische programma's). Katholieke Universiteit Leuven, Belgium, 2011 - [j2]Bernd Gutmann, Ingo Thon, Angelika Kimmig, Maurice Bruynooghe, Luc De Raedt:
The magic of logical inference in probabilistic programming. Theory Pract. Log. Program. 11(4-5): 663-680 (2011) - [c9]Bernd Gutmann, Ingo Thon, Luc De Raedt:
Learning the Parameters of Probabilistic Logic Programs from Interpretations. ECML/PKDD (1) 2011: 581-596 - [c8]Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt:
Inference in Probabilistic Logic Programs using Weighted CNF's. UAI 2011: 211-220 - [i1]Bernd Gutmann, Ingo Thon, Angelika Kimmig, Maurice Bruynooghe, Luc De Raedt:
The Magic of Logical Inference in Probabilistic Programming. CoRR abs/1107.5152 (2011) - 2010
- [c7]Ingo Thon, Bernd Gutmann, Guy Van den Broeck:
Probabilistic Programming for Planning Problems. StarAI@AAAI 2010 - [c6]Maurice Bruynooghe, Theofrastos Mantadelis, Angelika Kimmig, Bernd Gutmann, Joost Vennekens, Gerda Janssens, Luc De Raedt:
ProbLog Technology for Inference in a Probabilistic First Order Logic. ECAI 2010: 719-724 - [c5]Bernd Gutmann, Manfred Jaeger, Luc De Raedt:
Extending ProbLog with Continuous Distributions. ILP 2010: 76-91 - [p2]Luc De Raedt, Angelika Kimmig, Bernd Gutmann, Kristian Kersting, Vítor Santos Costa, Hannu Toivonen:
Probabilistic Inductive Querying Using ProbLog. Inductive Databases and Constraint-Based Data Mining 2010: 229-262
2000 – 2009
- 2008
- [j1]Niels Landwehr, Bernd Gutmann, Ingo Thon, Luc De Raedt, Matthai Philipose:
Relational Transformation-based Tagging for Activity Recognition. Fundam. Informaticae 89(1): 111-129 (2008) - [c4]Bernd Gutmann, Angelika Kimmig, Kristian Kersting, Luc De Raedt:
Parameter Learning in Probabilistic Databases: A Least Squares Approach. ECML/PKDD (1) 2008: 473-488 - [p1]Kristian Kersting, Luc De Raedt, Bernd Gutmann, Andreas Karwath, Niels Landwehr:
Relational Sequence Learning. Probabilistic Inductive Logic Programming 2008: 28-55 - 2006
- [c3]Bernd Gutmann, Kristian Kersting:
TildeCRF: Conditional Random Fields for Logical Sequences. ECML 2006: 174-185
1990 – 1999
- 1996
- [c2]Thomas Wolf, Andreas Wicker, Bernd Gutmann, Herbert Weber II:
Ein neuer Ansatz zur Lösung der Phasenentfaltungsproblematik. DAGM-Symposium 1996: 529-540 - 1995
- [c1]Thomas Wolf, Bernd Gutmann, Herbert Weber II:
Ein Fuzzy geregeltes optisches Meßsystem zur Messung von 3D-Verformungn. DAGM-Symposium 1995: 343-354
Coauthor Index
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