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Luc De Raedt
Luc De Raedt
professor, KU Leuven & guestprofessor, Örebro University
Zweryfikowany adres z cs.kuleuven.be - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Inductive logic programming: Theory and methods
S Muggleton, L De Raedt
The Journal of Logic Programming 19, 629-679, 1994
23691994
Problog: A probabilistic prolog and its application in link discovery.
L De Raedt, A Kimmig, H Toivonen
IJCAI 7, 2462-2467, 2007
10912007
Top-down induction of first-order logical decision trees
H Blockeel, L De Raedt
Artificial intelligence 101 (1-2), 285-297, 1998
10751998
Logical and relational learning
L De Raedt
Springer Science & Business Media, 2008
6852008
Top-down induction of clustering trees
H Blockeel, L De Raedt, J Ramon
arXiv preprint cs/0011032, 2000
6682000
Relational reinforcement learning
S Džeroski, L De Raedt, K Driessens
Machine learning 43, 7-52, 2001
6292001
Deepproblog: Neural probabilistic logic programming
R Manhaeve, S Dumancic, A Kimmig, T Demeester, L De Raedt
Advances in neural information processing systems 31, 2018
6162018
Probabilistic inductive logic programming
L De Raedt, K Kersting
Probabilistic inductive logic programming: theory and applications, 1-27, 2008
519*2008
Clausal discovery
L De Raedt, L Dehaspe
Machine Learning 26, 99-146, 1997
4091997
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
4052015
Adaptive Bayesian logic programs
K Kersting, L De Raedt
International Conference on Inductive Logic Programming, 104-117, 2001
3842001
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
3802016
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
3482004
Expressivity versus efficiency of graph kernels
J Ramon, T Gärtner
First international workshop on mining graphs, trees and sequences, 65-74, 2003
3482003
Mining association rules in multiple relations
L Dehaspe, L De Raedt
Inductive Logic Programming: 7th International Workshop, ILP-97 Prague …, 1997
3301997
Interactive theory revision: an inductive logic programming approach
L De Raedt
Academic Press Ltd., 1992
2921992
Molecular feature mining in HIV data
S Kramer, L De Raedt, C Helma
Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001
2882001
Multi instance neural networks
J Ramon
ML-2000 Workshop Attribute-Value and Relational Learning, 2000
2852000
Probabilistic (logic) programming concepts
L De Raedt, A Kimmig
Machine Learning 100, 5-47, 2015
2692015
Logical settings for concept-learning
L De Raedt
Artificial Intelligence 95 (1), 187-201, 1997
2401997
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