Kristian Kersting
TitleCited byYear
Probabilistic Inductive Logic Programming
L De Raedt, K Kersting
Probabilistic Inductive Logic Programming - Theory and Applications, 1-27, 2008
4202008
Bayesian logic programs
K Kersting, L De Raedt
arXiv preprint cs/0111058, 2001
3042001
Most likely heteroscedastic Gaussian process regression
K Kersting, C Plagemann, P Pfaff, W Burgard
Proceedings of the 24th international conference on Machine learning, 393-400, 2007
2242007
Lifted Probabilistic Inference with Counting Formulas.
B Milch, LS Zettlemoyer, K Kersting, M Haimes, LP Kaelbling
Aaai 8, 1062-1068, 2008
2082008
Probabilistic logic learning
L De Raedt, K Kersting
ACM SIGKDD Explorations Newsletter 5 (1), 31-48, 2003
2022003
Bayesian Logic Programming: Theory and Tool
K Kersting, L De Raedt
Introduction to Statistical Relational Learning, 291, 2007
1782007
Towards combining inductive logic programming with Bayesian networks
K Kersting, L De Raedt
International Conference on Inductive Logic Programming, 118-131, 2001
1702001
Counting belief propagation
K Kersting, B Ahmadi, S Natarajan
Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial …, 2009
1592009
Bellman goes relational
K Kersting, MV Otterlo, L De Raedt
Proceedings of the twenty-first international conference on Machine learning, 59, 2004
1422004
Gradient-based boosting for statistical relational learning: The relational dependency network case
S Natarajan, T Khot, K Kersting, B Gutmann, J Shavlik
Machine Learning 86 (1), 25-56, 2012
1152012
Logical hidden markov models
K Kersting, L De Raedt, T Raiko
Journal of Artificial Intelligence Research 25, 425-456, 2006
1132006
Robust 3D scan point classification using associative Markov networks
R Triebel, K Kersting, W Burgard
Proceedings 2006 IEEE International Conference on Robotics and Automation …, 2006
1012006
Predicting player churn in the wild
F Hadiji, R Sifa, A Drachen, C Thurau, K Kersting, C Bauckhage
2014 IEEE Conference on Computational Intelligence and Games, 1-8, 2014
982014
nFOIL: Integrating naıve bayes and FOIL
N Landwehr, K Kersting, L De Raedt
Proceedings of the twentieth national conference on artificial intelligence …, 2005
982005
Probabilistic Inductive Logic Programming-Theory and Applications
LD Raedt, P Frasconi, K Kersting, S Muggleton
Lecture Notes in Computer Science 4911, 2008
96*2008
Early drought stress detection in cereals: simplex volume maximisation for hyperspectral image analysis
C Römer, M Wahabzada, A Ballvora, F Pinto, M Rossini, C Panigada, ...
Functional Plant Biology 39 (11), 878-890, 2012
922012
Adaptive Bayesian logic programs
K Kersting, L De Raedt
International Conference on Inductive Logic Programming, 104-117, 2001
912001
Lifted Probabilistic Inference.
K Kersting
ECAI, 33-38, 2012
892012
Integrating naive bayes and foil
N Landwehr, K Kersting, LD Raedt
Journal of Machine Learning Research 8 (Mar), 481-507, 2007
832007
Statistical relational artificial intelligence: Logic, probability, and computation
LD Raedt, K Kersting, S Natarajan, D Poole
Synthesis Lectures on Artificial Intelligence and Machine Learning 10 (2), 1-189, 2016
782016
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Articles 1–20