Publikationen
2009
- L. De Raedt, A. Kimmig, B. Gutmann, K. Kersting, V. Santos Costa, and H. Toivonen. Probabilistic inductive querying using ProbLog. Technical Report CW 552, Department of Computer Science, Katholieke Universiteit Leuven, Belgium, 2009.
PDF BibTeX
- M. Bruynooghe, B. De Cat, J. Drijkoningen, D. Fierens, J. Goos, B. Gutmann, A. Kimmig, W. Labeeuw, S. Langenaken, N. Landwehr, W. Meert,
E. Nuyts, R. Pellegrims, R. Rymenants, S. Segers,
I. Thon, J. Van Eyck, G. Van den Broeck, T. Vangansewinkel, L. Van Hove, J. Vennekens, T. Weytjens, and L. De Raedt.
An exercise with statistical relational learning
systems.
In P. Domingos and K. Kersting, editors, International Workshop on Statistical Relational Learning (SRL-2009), Leuven, Belgium, 2-4 July 2009.
PDF BibTeX
- A. Kimmig, B. Gutmann, and V. Santos Costa.
Trading memory for answers: Towards tabling ProbLog.
In P. Domingos and K. Kersting, editors, International Workshop on Statistical Relational Learning (SRL-2009), Leuven, Belgium, 2-4 July 2009.
PDF BibTeX
- Joost Vennekens, Angelika Kimmig, Theofrastos Mantadelis,
Bernd Gutmann, Maurice Bruynooghe, and Luc De Raedt.
From ProbLog to first order logic: A first exploration.
In P. Domingos and K. Kersting, editors, International Workshop on Statistical Relational Learning (SRL-2009), Leuven, Belgium, 2-4 July 2009.
PDF BibTeX
2008
- L. De Raedt, B. Demoen, D. Fierens,
B. Gutmann, G. Janssens, A. Kimmig, N. Landwehr,
T. Mantadelis, W. Meert, R. Rocha,
V. Santos Costa, I. Thon, and J. Vennekens.
Towards digesting the alphabet-soup of statistical
relational learning. In D. Roy, J. Winn,
D. McAllester, V. Mansinghka, and J. Tenenbaum,
editors, Proceedings of the 1st Workshop on
Probabilistic Programming: Universal Languages, Systems and
Applications, Whistler, Canada, December 2008.
PDF BibTeX
- N. Landwehr, B. Gutmann, I. Thon, L. De Raedt, and
M. Philipose. Relational transformation-based tagging for activity recognition. Fundamenta Informaticae, 89(1):111-129, 2008.
PDF BibTeX
- B. Gutmann,
A. Kimmig, L. De Raedt, and K. Kersting. Parameter Learning in Probabilistic Databases: A Least
Squares Approach, Proceedings of the
European Conference on Machine Learning and Principles and Practice
of Knowledge Discovery in Databases (ECML PKDD
2008), Antwerp, Belgium, 15-19 September 2008. Springer
DOI 10.1007/978-3-540-87479-9_49
PDF BibTeX
Video
- B. Gutmann, A. Kimmig, L. De Raedt, and K. Kersting. Parameter Learning in Probabilistic Databases: A Least Squares Approach, Mining and Learning with Graphs 2008 (MLG08), Helsinki, Finnland, 4-5 July 2008.
PDF
BibTeX
Video
- B. Gutmann, A. Kimmig, L. De Raedt, and K. Kersting. Parameter Learning in Probabilistic Databases: A Least Squares Approach, In L. Wehenkel, P. Geurts, and R. Marée, editors, Benelearn 08, Spa, Belgium, 19-20 May 2008.
PDF
BibTeX
- K. Kersting, L. De Raedt, B. Gutmann,
A. Karwath, and N. Landwehr.
Probabilistic Inductive Logic Programming, volume 4911/2008
of Lecture Notes in Computer Science, chapter
Relational Sequence Learning, pages 28-55. Springer,
February 2008.
DOI 10.1007/978-3-540-78652-8_2
BibTeX
2007
- N. Landwehr, B. Gutmann, I. Thon, M. Philipose
and L. De Raedt. Relational
Transformation-based Tagging for Human Activity Recognition.
In J. Gama, M. Medhat Gaber, J. Aguilar-Ruiz,
editors, International Workshop on Knowledge
Discovery from Ubiquitious Data Streams (IWKDUS07).
Warsaw, Poland, September 17, 2007.
PDF
BibTeX
- N. Landwehr, B. Gutmann, I. Thon, M. Philipose
and L. De Raedt. Relational
Transformation-based Tagging for Human Activity Recognition.
In D. Malerba, A. Appice and M. Ceci, editors,
Sixth International Workshop on Multi-Relational Data
Mining (MRDM07). Warsaw, Poland, September 17, 2007.
PDF
BibTeX
- B. Gutmann and K. Kersting. Stratified
Gradient Boosting for Fast Training of Conditional Random Fields. In
D. Malerba, A. Appice and M. Ceci,
editors, Sixth International Workshop on Multi-Relational Data Mining (MRDM07).
Warsaw, Poland, September 17, 2007.
PDF
BibTeX
- B. Gutmann and K. Kersting. Stratified
Gradient Boosting for Fast Training of Conditional Random Fields. In
P. Frasconi, K. Kersting, and K. Tsuda,
editors, Mining and Learning with Graphs 2007 (MLG07).
Florence, Italy, August 1-3, 2007. Extended Abstract
PDF
BibTeX
2006
- B. Gutmann and K. Kersting. TildeCRF:
Conditional Random Fields for Logical Sequences.In
J. Fürnkranz, T. Scheffer, and M. Spiliopoulou,
editors, Proceedings of the 15th European
Conference on Machine Learning (ECML-2006), volume 4212 of
LNAI (Lecture Notes in Artificial Intelligence), pages 174-185.
Springer, Berlin, Germany, September, 2006. Best Student Paper
DOI 10.1007/11871842_20
PDF
BibTeX
- K. Kersting and B. Gutmann. Unbiased
Conjugate Direction Boosting for Conditional Random Fields.
In T. Gärtner, G.C. Garriga, and T. Meinl,
editors,
Working Notes of the ECML-2006 Workshop on
Mining and Learning with Graphs (MLG 2006), Berlin, Germany,
September 2006. Short paper.
PDF
BibTeX
2005
- B. Gutmann. Conditional Random Fields for
Logical Sequences. Master's thesis, Albert-Ludwigs
University, Freiburg i.Br., Germany, October 2005.
In German.
PDF
BibTeX
See the Lirias repository of the K.U. Leuven if a paper is missing on this list.