Kristian Kersting
Kristian Kersting
Professor of Artificial Intelligence and Machine Learning, TU Darmstadt
Verifierad e-postadress på cs.tu-darmstadt.de - Startsida
TitelCiteras avÅr
Probabilistic Inductive Logic Programming
L De Raedt, K Kersting
Probabilistic Inductive Logic Programming - Theory and Applications, 1-27, 2008
4372008
Bayesian logic programs
K Kersting, L De Raedt
arXiv preprint cs/0111058, 2001
3082001
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
2572007
Lifted Probabilistic Inference with Counting Formulas.
B Milch, LS Zettlemoyer, K Kersting, M Haimes, LP Kaelbling
Aaai 8, 1062-1068, 2008
2112008
Probabilistic logic learning
L De Raedt, K Kersting
ACM SIGKDD Explorations Newsletter 5 (1), 31-48, 2003
2082003
Bayesian Logic Programming: Theory and Tool
K Kersting, L De Raedt
Introduction to Statistical Relational Learning, 291, 2007
1862007
Towards combining inductive logic programming with Bayesian networks
K Kersting, L De Raedt
International Conference on Inductive Logic Programming, 118-131, 2001
1732001
Counting belief propagation
K Kersting, B Ahmadi, S Natarajan
arXiv preprint arXiv:1205.2637, 2012
1642012
Bellman goes relational
K Kersting, MV Otterlo, L De Raedt
Proceedings of the twenty-first international conference on Machine learning, 59, 2004
1432004
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
1262012
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
1172014
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
1152016
Logical hidden markov models
K Kersting, L De Raedt, T Raiko
Journal of Artificial Intelligence Research 25, 425-456, 2006
1142006
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
1002012
nFOIL: integrating Naïve Bayes and FOIL
N Landwehr, K Kersting, L De Raedt
Proceedings of the twentieth national conference on artificial intelligence …, 2005
1002005
Probabilistic Inductive Logic Programming-Theory and Applications
LD Raedt, P Frasconi, K Kersting, S Muggleton
Lecture Notes in Computer Science 4911, 2008
99*2008
Lifted Probabilistic Inference.
K Kersting
ECAI, 33-38, 2012
942012
How players lose interest in playing a game: An empirical study based on distributions of total playing times
C Bauckhage, K Kersting, R Sifa, C Thurau, A Drachen, A Canossa
2012 IEEE Conference on Computational Intelligence and Games (CIG), 139-146, 2012
912012
Adaptive Bayesian logic programs
K Kersting, L De Raedt
International Conference on Inductive Logic Programming, 104-117, 2001
912001
Hyperspectral phenotyping on the microscopic scale: towards automated characterization of plant-pathogen interactions
M Kuska, M Wahabzada, M Leucker, HW Dehne, K Kersting, EC Oerke, ...
Plant methods 11 (1), 28, 2015
882015
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Artiklar 1–20