| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Stephen Muggleton, Luc De Raedt, David Poole, Ivan Bratko, Peter A. Flach, Katsumi Inoue, Ashwin Srinivasan |
ILP turns 20 - Biography and future challenges.  |
Machine Learning  |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt |
Inference in Probabilistic Logic Programs using Weighted CNF's  |
CoRR  |
2012 |
DBLP BibTeX RDF |
|
| 1 | Laura Antanas, Martijn van Otterlo, José Oramas M., Tinne Tuytelaars, Luc De Raedt |
A Relational Distance-based Framework for Hierarchical Image Understanding.  |
ICPRAM  |
2012 |
DBLP BibTeX RDF |
|
| 1 | Hendrik Blockeel, Karsten M. Borgwardt, Luc De Raedt, Pedro Domingos, Kristian Kersting, Xifeng Yan |
Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning.  |
Machine Learning  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Leander Schietgat, Fabrizio Costa, Jan Ramon, Luc De Raedt |
Effective feature construction by maximum common subgraph sampling.  |
Machine Learning  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Ingo Thon, Niels Landwehr, Luc De Raedt |
Stochastic relational processes: Efficient inference and applications.  |
Machine Learning  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc De Raedt, Kristian Kersting, Tapani Raiko |
Logical Hidden Markov Models  |
CoRR  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Bernd Gutmann, Ingo Thon, Angelika Kimmig, Maurice Bruynooghe, Luc De Raedt |
The Magic of Logical Inference in Probabilistic Programming  |
CoRR  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Tias Guns, Siegfried Nijssen, Luc De Raedt |
Itemset mining: A constraint programming perspective.  |
Artif. Intell.  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc De Raedt, Siegfried Nijssen, Barry O'Sullivan, Pascal Van Hentenryck |
Constraint Programming meets Machine Learning and Data Mining (Dagstuhl Seminar 11201).  |
Dagstuhl Reports  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Bernd Gutmann, Ingo Thon, Angelika Kimmig, Maurice Bruynooghe, Luc De Raedt |
The magic of logical inference in probabilistic programming.  |
TPLP  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Angelika Kimmig, Bart Demoen, Luc De Raedt, Vítor Santos Costa, Ricardo Rocha |
On the implementation of the probabilistic logic programming language ProbLog.  |
TPLP  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Bernd Gutmann, Ingo Thon, Luc De Raedt |
Learning the Parameters of Probabilistic Logic Programs from Interpretations.  |
ECML/PKDD  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Tias Guns, Siegfried Nijssen, Albrecht Zimmermann, Luc De Raedt |
Declarative Heuristic Search for Pattern Set Mining.  |
ICDM Workshops  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Guy Van den Broeck, Nima Taghipour, Wannes Meert, Jesse Davis, Luc De Raedt |
Lifted Probabilistic Inference by First-Order Knowledge Compilation.  |
IJCAI  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Tias Guns, Siegfried Nijssen, Luc De Raedt |
Evaluating Pattern Set Mining Strategies in a Constraint Programming Framework.  |
PAKDD  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc De Raedt, Siegfried Nijssen |
Towards Programming Languages for Machine Learning and Data Mining (Extended Abstract).  |
ISMIS  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt |
Inference in Probabilistic Logic Programs using Weighted CNF's.  |
UAI  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Angelika Kimmig, Guy Van den Broeck, Luc De Raedt |
An Algebraic Prolog for Reasoning about Possible Worlds.  |
AAAI  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Anton Dries, Luc De Raedt, Siegfried Nijssen |
Mining Predictive k-CNF Expressions.  |
IEEE Trans. Knowl. Data Eng.  |
2010 |
DBLP DOI BibTeX RDF |
data mining, machine learning, Concept learning |
| 1 | Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi |
Fast learning of relational kernels.  |
Machine Learning  |
2010 |
DBLP BibTeX RDF |
|
| 1 | Angelika Kimmig, Bart Demoen, Luc De Raedt, Vítor Santos Costa, Ricardo Rocha |
On the Implementation of the Probabilistic Logic Programming Language ProbLog  |
CoRR  |
2010 |
DBLP BibTeX RDF |
|
| 1 | Luc De Raedt |
Inductive Logic Programming.  |
Encyclopedia of Machine Learning  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc De Raedt |
Logic of Generality.  |
Encyclopedia of Machine Learning  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc De Raedt, Kristian Kersting |
Statistical Relational Learning.  |
Encyclopedia of Machine Learning  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc De Raedt |
Multi-Relational Data Mining.  |
Encyclopedia of Machine Learning  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc De Raedt |
About Knowledge and Inference in Logical and Relational Learning.  |
Advances in Machine Learning II  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Maurice Bruynooghe, Theofrastos Mantadelis, Angelika Kimmig, Bernd Gutmann, Joost Vennekens, Gerda Janssens, Luc De Raedt |
ProbLog Technology for Inference in a Probabilistic First Order Logic.  |
ECAI  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Bernd Gutmann, Manfred Jaeger, Luc De Raedt |
Extending ProbLog with Continuous Distributions.  |
ILP  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc De Raedt (eds.) |
Inductive Logic Programming, 19th International Conference, ILP 2009, Leuven, Belgium, July 02-04, 2009. Revised Papers  |
ILP  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc De Raedt, Ingo Thon |
Probabilistic Rule Learning.  |
ILP  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Laura Antanas, Martijn van Otterlo, José Oramas M., Tinne Tuytelaars, Luc De Raedt |
Not Far Away from Home: A Relational Distance-Based Approach to Understanding Images of Houses.  |
ILP  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc De Raedt, Tias Guns, Siegfried Nijssen |
Constraint Programming for Data Mining and Machine Learning.  |
AAAI  |
2010 |
DBLP BibTeX RDF |
|
| 1 | Guy Van den Broeck, Ingo Thon, Martijn van Otterlo, Luc De Raedt |
DTProbLog: A Decision-Theoretic Probabilistic Prolog.  |
AAAI  |
2010 |
DBLP BibTeX RDF |
|
| 1 | Albrecht Zimmermann, Luc De Raedt |
Cluster-grouping: from subgroup discovery to clustering.  |
Machine Learning  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc De Raedt, Jan Ramon |
Deriving distance metrics from generality relations.  |
Pattern Recognition Letters  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc De Raedt |
Constraint Programming for Data Mining.  |
EGC  |
2009 |
DBLP BibTeX RDF |
|
| 1 | Angelika Kimmig, Luc De Raedt |
Local Query Mining in a Probabilistic Prolog.  |
IJCAI  |
2009 |
DBLP BibTeX RDF |
|
| 1 | Siegfried Nijssen, Luc De Raedt |
Grammar Mining.  |
SDM  |
2009 |
DBLP BibTeX RDF |
|
| 1 | Luc De Raedt |
The Logic of Learning.  |
ICFCA  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc De Raedt |
Probabilistic Logic Learning - A Tutorial Abstract.  |
ICLP  |
2009 |
DBLP DOI BibTeX RDF |
probabilistic logic learning, logic and learning, logic programming, inductive logic programming, statistical relational learning |
| 1 | Anton Dries, Luc De Raedt |
Towards Clausal Discovery for Stream Mining.  |
ILP  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Anton Dries, Siegfried Nijssen, Luc De Raedt |
A query language for analyzing networks.  |
CIKM  |
2009 |
DBLP DOI BibTeX RDF |
data mining, graph databases, inductive databases |
| 1 | Siegfried Nijssen, Tias Guns, Luc De Raedt |
Correlated itemset mining in ROC space: a constraint programming approach.  |
KDD  |
2009 |
DBLP DOI BibTeX RDF |
constraint programming, ROC analysis, itemset mining |
| 1 | Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen |
Compressing probabilistic Prolog programs.  |
Machine Learning  |
2008 |
DBLP DOI BibTeX RDF |
Network mining, Compression, Inductive logic programming, Statistical relational learning, Probabilistic logic, Theory revision, Biological applications |
| 1 | Niels Landwehr, Bernd Gutmann, Ingo Thon, Luc De Raedt, Matthai Philipose |
Relational Transformation-based Tagging for Activity Recognition.  |
Fundam. Inform.  |
2008 |
DBLP BibTeX RDF |
|
| 1 | Ulrich Rückert 0002, Luc De Raedt |
An experimental evaluation of simplicity in rule learning.  |
Artif. Intell.  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc De Raedt |
Logical and relational learning.  |
|
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Ingo Thon, Niels Landwehr, Luc De Raedt |
A Simple Model for Sequences of Relational State Descriptions.  |
ECML/PKDD  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Bernd Gutmann, Angelika Kimmig, Kristian Kersting, Luc De Raedt |
Parameter Learning in Probabilistic Databases: A Least Squares Approach.  |
ECML/PKDD  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc De Raedt |
Logical and Relational Learning.  |
SBIA  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc De Raedt |
Logic, Probability and Learning, or an Introduction to Statistical Relational Learning.  |
SBIA  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Angelika Kimmig, Vítor Santos Costa, Ricardo Rocha, Bart Demoen, Luc De Raedt |
On the Efficient Execution of ProbLog Programs.  |
ICLP  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc De Raedt, Barbara Hammer, Pascal Hitzler, Wolfgang Maass (eds.) |
Recurrent Neural Networks - Models, Capacities, and Applications, 20.01. - 25.01.2008  |
Recurrent Neural Networks  |
2008 |
DBLP BibTeX RDF |
|
| 1 | Luc De Raedt, Barbara Hammer, Pascal Hitzler, Wolfgang Maass |
08041 Abstracts Collection -- Recurrent Neural Networks - Models, Capacities, and Applications.  |
Recurrent Neural Networks  |
2008 |
DBLP BibTeX RDF |
|
| 1 | Luc De Raedt, Barbara Hammer, Pascal Hitzler, Wolfgang Maass |
08041 Summary -- Recurrent Neural Networks - Models, Capacities, and Applications.  |
Recurrent Neural Networks  |
2008 |
DBLP BibTeX RDF |
|
| 1 | Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Kristian Kersting, Stephen Muggleton (eds.) |
Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04. - 20.04.2007  |
Probabilistic, Logical and Relational Learning - A Further Synthesis  |
2008 |
DBLP BibTeX RDF |
|
| 1 | Luc De Raedt, Paolo Frasconi, Kristian Kersting, Stephen Muggleton (eds.) |
Probabilistic Inductive Logic Programming - Theory and Applications  |
Probabilistic Inductive Logic Programming  |
2008 |
DBLP BibTeX RDF |
|
| 1 | Kristian Kersting, Luc De Raedt, Bernd Gutmann, Andreas Karwath, Niels Landwehr |
Relational Sequence Learning.  |
Probabilistic Inductive Logic Programming  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Kristian Kersting, Luc De Raedt |
Basic Principles of Learning Bayesian Logic Programs.  |
Probabilistic Inductive Logic Programming  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc De Raedt, Kristian Kersting |
Probabilistic Inductive Logic Programming.  |
Probabilistic Inductive Logic Programming  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Kurt De Grave, Jan Ramon, Luc De Raedt |
Active Learning for High Throughput Screening.  |
Discovery Science  |
2008 |
DBLP DOI BibTeX RDF |
Chemical compounds, Optimization, Active Learning, QSAR |
| 1 | Luc De Raedt, Tias Guns, Siegfried Nijssen |
Constraint programming for itemset mining.  |
KDD  |
2008 |
DBLP DOI BibTeX RDF |
constraint programming, itemset mining |
| 1 | Niels Landwehr, Kristian Kersting, Luc De Raedt |
Integrating Naïve Bayes and FOIL.  |
Journal of Machine Learning Research  |
2007 |
DBLP BibTeX RDF |
|
| 1 | Tayfun Gürel, Luc De Raedt, Stefan Rotter |
Ranking neurons for mining structure-activity relations in biological neural networks: NeuronRank.  |
Neurocomputing  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Tayfun Gürel, Luc De Raedt, Stefan Rotter |
Mining Structure-Activity Relations in Biological Neural Networks using NeuronRank.  |
Perspectives of Neural-Symbolic Integration  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc De Raedt |
Statistical Relational Learning - A Logical Approach (Abstract of Invited Talk).  |
NeSy  |
2007 |
DBLP BibTeX RDF |
|
| 1 | Niels Landwehr, Luc De Raedt |
r-grams: Relational Grams.  |
IJCAI  |
2007 |
DBLP BibTeX RDF |
|
| 1 | Gemma C. Garriga, Roni Khardon, Luc De Raedt |
On Mining Closed Sets in Multi-Relational Data.  |
IJCAI  |
2007 |
DBLP BibTeX RDF |
|
| 1 | Luc De Raedt, Angelika Kimmig, Hannu Toivonen |
ProbLog: A Probabilistic Prolog and Its Application in Link Discovery.  |
IJCAI  |
2007 |
DBLP BibTeX RDF |
|
| 1 | Luc De Raedt, Albrecht Zimmermann |
Constraint-Based Pattern Set Mining.  |
SDM  |
2007 |
DBLP BibTeX RDF |
|
| 1 | Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Kristian Kersting, Stephen Muggleton |
07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis.  |
Probabilistic, Logical and Relational Learning - A Further Synthesis  |
2007 |
DBLP BibTeX RDF |
|
| 1 | Angelika Kimmig, Luc De Raedt, Hannu Toivonen |
Probabilistic Explanation Based Learning.  |
ECML  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Tayfun Gürel, Ulrich Egert, Steffen Kandler, Luc De Raedt, Stefan Rotter |
Predicting Spike Activity in Neuronal Cultures.  |
IJCNN  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc De Raedt |
ProbLog and its Application to Link Mining in Biological Networks.  |
MLG  |
2007 |
DBLP BibTeX RDF |
|
| 1 | Rolf Backofen, Hans-Gunther Borrmann, Werner Deck, Andreas Dedner, Luc De Raedt, Klaus Desch, Markus Diesmann, Martin Geier, Andreas Greiner, Wolfgang R. Hess, Josef Honerkamp, Stefan Jankowski, Ingo Krossing, Andreas W. Liehr, Andreas Karwath, Robert Klöfkorn, Raphaël Pesché, Tobias C. Potjans, Michael C. Röttger, Lars Schmidt-Thieme, Gerhard Schneider, Björn Voß, Bernd Wiebelt, Peter Wienemann, Volker-Henning Winterer |
A Bottom-up approach to Grid-Computing at a University: the Black-Forest-Grid Initiative.  |
Praxis der Informationsverarbeitung und Kommunikation  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Andrea Passerini, Paolo Frasconi, Luc De Raedt |
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting.  |
Journal of Machine Learning Research  |
2006 |
DBLP BibTeX RDF |
|
| 1 | Kristian Kersting, Luc De Raedt, Tapani Raiko |
Logical Hidden Markov Models.  |
J. Artif. Intell. Res. (JAIR)  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Björn Bringmann, Albrecht Zimmermann, Luc De Raedt, Siegfried Nijssen |
Don't Be Afraid of Simpler Patterns.  |
PKDD  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Jérémy Besson, Céline Robardet, Luc De Raedt, Jean-François Boulicaut |
Mining Bi-sets in Numerical Data.  |
KDID  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Siegfried Nijssen, Luc De Raedt |
IQL: A Proposal for an Inductive Query Language.  |
KDID  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton (eds.) |
Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January - 4. February 2005  |
Probabilistic, Logical and Relational Learning  |
2006 |
DBLP BibTeX RDF |
|
| 1 | Alexandru Cocora, Kristian Kersting, Christian Plagemann, Wolfram Burgard, Luc De Raedt |
Learning Relational Navigation Policies.  |
IROS  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen |
Revising Probabilistic Prolog Programs.  |
ILP  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Tamás Horváth, Björn Bringmann, Luc De Raedt |
Frequent Hypergraph Mining.  |
ILP  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi |
kFOIL: Learning Simple Relational Kernels.  |
AAAI  |
2006 |
DBLP BibTeX RDF |
|
| 1 | Takashi Washio, Luc De Raedt, Joost N. Kok |
Advances in Mining Graphs, Trees and Sequences.  |
Fundam. Inform.  |
2005 |
DBLP BibTeX RDF |
|
| 1 | Luc De Raedt |
Statistical Relational Learning: An Inductive Logic Programming Perspective.  |
PKDD  |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton |
05051 Executive Summary - Probabilistic, Logical and Relational Learning - Towards a Synthesis.  |
Probabilistic, Logical and Relational Learning  |
2005 |
DBLP BibTeX RDF |
|
| 1 | Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton |
05051 Abstracts Collection - Probabilistic, Logical and Relational Learning - Towards a Synthesis.  |
Probabilistic, Logical and Relational Learning  |
2005 |
DBLP BibTeX RDF |
|
| 1 | Andrea Passerini, Paolo Frasconi, Luc De Raedt |
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting.  |
Probabilistic, Logical and Relational Learning  |
2005 |
DBLP BibTeX RDF |
|
| 1 | Jean-François Boulicaut, Luc De Raedt, Heikki Mannila (eds.) |
Constraint-Based Mining and Inductive Databases, European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March 11-13, 2004, Revised Selected Papers  |
Constraint-Based Mining and Inductive Databases  |
2005 |
DBLP BibTeX RDF |
|
| 1 | Luc De Raedt, Stefan Wrobel (eds.) |
Machine Learning, Proceedings of the Twenty-Second International Conference (ICML 2005), Bonn, Germany, August 7-11, 2005  |
ICML  |
2005 |
DBLP BibTeX RDF |
|
| 1 | Luc De Raedt, Kristian Kersting, Sunna Torge |
Towards Learning Stochastic Logic Programs from Proof-Banks.  |
AAAI  |
2005 |
DBLP BibTeX RDF |
|
| 1 | Niels Landwehr, Kristian Kersting, Luc De Raedt |
nFOIL: Integrating Naïve Bayes and FOIL.  |
AAAI  |
2005 |
DBLP BibTeX RDF |
|
| 1 | Christian Stolle, Andreas Karwath, Luc De Raedt |
CLASSIC'CL: An Integrated ILP System.  |
Discovery Science  |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Christoph Helma, Tobias Cramer, Stefan Kramer, Luc De Raedt |
Data Mining and Machine Learning Techniques for the Identification of Mutagenicity Inducing Substructures and Structure Activity Relationships of Noncongeneric Compounds.  |
Journal of Chemical Information and Modeling  |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Johannes Fischer, Luc De Raedt |
Towards Optimizing Conjunctive Inductive Queries.  |
PAKDD  |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Sau Dan Lee, Luc De Raedt |
An Efficient Algorithm for Mining String Databases Under Constraints.  |
KDID  |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Sau Dan Lee, Luc De Raedt |
Constraint Based Mining of First Order Sequences in SeqLog.  |
Database Support for Data Mining Applications  |
2004 |
DBLP DOI BibTeX RDF |
|