Luc De Raedt
Luc De Raedt
professor, KU Leuven & guestprofessor, Örebro University
Verified email at - Homepage
Cited by
Cited by
Inductive logic programming: Theory and methods
S Muggleton, L De Raedt
The Journal of Logic Programming 19, 629-679, 1994
Top-down induction of first-order logical decision trees
H Blockeel, L De Raedt
Artificial intelligence 101 (1-2), 285-297, 1998
ProbLog: A probabilistic Prolog and its application in link discovery
L De Raedt, A Kimmig, H Toivonen, M Veloso
IJCAI 2007, Proceedings of the 20th international joint conference on …, 2007
Logical and relational learning
L De Raedt
Springer Science & Business Media, 2008
Top-down induction of clustering trees
H Blockeel, L De Raedt, J Ramon
arXiv preprint cs/0011032, 2000
Relational reinforcement learning
S Džeroski, L De Raedt, K Driessens
Machine learning 43, 7-52, 2001
Probabilistic inductive logic programming
L De Raedt, K Kersting
Probabilistic inductive logic programming: theory and applications, 1-27, 2008
Deepproblog: Neural probabilistic logic programming
R Manhaeve, S Dumancic, A Kimmig, T Demeester, L De Raedt
Advances in neural information processing systems 31, 2018
Clausal discovery
L De Raedt, L Dehaspe
Machine Learning 26, 99-146, 1997
Adaptive Bayesian logic programs
K Kersting, L De Raedt
International Conference on Inductive Logic Programming, 104-117, 2001
Inference and learning in probabilistic logic programs using weighted boolean formulas
D Fierens, G Van den Broeck, J Renkens, D Shterionov, B Gutmann, ...
Theory and Practice of Logic Programming 15 (3), 358-401, 2015
Expressivity versus efficiency of graph kernels
J Ramon, T Gärtner, T Washio, L De Raedt
Proceedings of the first international workshop on mining graphs, trees and …, 2003
Data mining and machine learning techniques for the identification of mutagenicity inducing substructures and structure activity relationships of noncongeneric compounds
C Helma, T Cramer, S Kramer, L De Raedt
Journal of chemical information and computer sciences 44 (4), 1402-1411, 2004
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
Mining association rules in multiple relations
L Dehaspe, L De Raedt
Inductive Logic Programming: 7th International Workshop, ILP-97 Prague …, 1997
Interactive theory revision: An inductive logic programming approach
L De Raedt
Academic Press Ltd., 1992
Molecular feature mining in HIV data
S Kramer, L De Raedt, C Helma
Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001
Multi instance neural networks
J Ramon, L De Raedt, S Kramer
Proceedings of the ICML-2000 workshop on attribute-value and relational …, 2000
Itemset mining: A constraint programming perspective
T Guns, S Nijssen, L De Raedt
Artificial Intelligence 175 (12-13), 1951-1983, 2011
Logical settings for concept-learning
L De Raedt
Artificial Intelligence 95 (1), 187-201, 1997
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