Luc De Raedt

	2012
195		Laura Antanas, Martijn van Otterlo, José Oramas M., Tinne Tuytelaars, Luc De Raedt: A Relational Distance-based Framework for Hierarchical Image Understanding. ICPRAM (2) 2012: 206-218
194		Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt: Inference in Probabilistic Logic Programs using Weighted CNF's CoRR abs/1202.3719: (2012)
193		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 86(1): 3-23 (2012)
	2011
192		Angelika Kimmig, Guy Van den Broeck, Luc De Raedt: An Algebraic Prolog for Reasoning about Possible Worlds. AAAI 2011
191		Bernd Gutmann, Ingo Thon, Luc De Raedt: Learning the Parameters of Probabilistic Logic Programs from Interpretations. ECML/PKDD (1) 2011: 581-596
190		Tias Guns, Siegfried Nijssen, Albrecht Zimmermann, Luc De Raedt: Declarative Heuristic Search for Pattern Set Mining. ICDM Workshops 2011: 1104-1111
189		Guy Van den Broeck, Nima Taghipour, Wannes Meert, Jesse Davis, Luc De Raedt: Lifted Probabilistic Inference by First-Order Knowledge Compilation. IJCAI 2011: 2178-2185
188		Luc De Raedt, Siegfried Nijssen: Towards Programming Languages for Machine Learning and Data Mining (Extended Abstract). ISMIS 2011: 25-32
187		Tias Guns, Siegfried Nijssen, Luc De Raedt: Evaluating Pattern Set Mining Strategies in a Constraint Programming Framework. PAKDD (2) 2011: 382-394
186		Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt: Inference in Probabilistic Logic Programs using Weighted CNF's. UAI 2011: 211-220
185		Tias Guns, Siegfried Nijssen, Luc De Raedt: Itemset mining: A constraint programming perspective. Artif. Intell. 175(12-13): 1951-1983 (2011)
184		Bernd Gutmann, Ingo Thon, Angelika Kimmig, Maurice Bruynooghe, Luc De Raedt: The Magic of Logical Inference in Probabilistic Programming CoRR abs/1107.5152: (2011)
183		Luc De Raedt, Kristian Kersting, Tapani Raiko: Logical Hidden Markov Models CoRR abs/1109.2148: (2011)
182		Luc De Raedt, Siegfried Nijssen, Barry O'Sullivan, Pascal Van Hentenryck: Constraint Programming meets Machine Learning and Data Mining (Dagstuhl Seminar 11201). Dagstuhl Reports 1(5): 61-83 (2011)
181		Ingo Thon, Niels Landwehr, Luc De Raedt: Stochastic relational processes: Efficient inference and applications. Machine Learning 82(2): 239-272 (2011)
180		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 83(2): 133-135 (2011)
179		Leander Schietgat, Fabrizio Costa, Jan Ramon, Luc De Raedt: Effective feature construction by maximum common subgraph sampling. Machine Learning 83(2): 137-161 (2011)
178		Angelika Kimmig, Bart Demoen, Luc De Raedt, Vítor Santos Costa, Ricardo Rocha: On the implementation of the probabilistic logic programming language ProbLog. TPLP 11(2-3): 235-262 (2011)
177		Bernd Gutmann, Ingo Thon, Angelika Kimmig, Maurice Bruynooghe, Luc De Raedt: The magic of logical inference in probabilistic programming. TPLP 11(4-5): 663-680 (2011)
	2010
176		Luc De Raedt: Inductive Logic Programming, 19th International Conference, ILP 2009, Leuven, Belgium, July 02-04, 2009. Revised Papers Springer 2010
175		Luc De Raedt, Tias Guns, Siegfried Nijssen: Constraint Programming for Data Mining and Machine Learning. AAAI 2010
174		Guy Van den Broeck, Ingo Thon, Martijn van Otterlo, Luc De Raedt: DTProbLog: A Decision-Theoretic Probabilistic Prolog. AAAI 2010
173		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: 719-724
172		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: 22-29
171		Luc De Raedt, Ingo Thon: Probabilistic Rule Learning. ILP 2010: 47-58
170		Bernd Gutmann, Manfred Jaeger, Luc De Raedt: Extending ProbLog with Continuous Distributions. ILP 2010: 76-91
169		Luc De Raedt: About Knowledge and Inference in Logical and Relational Learning. Advances in Machine Learning II 2010: 143-153
168		Luc De Raedt: Inductive Logic Programming. Encyclopedia of Machine Learning 2010: 529-537
167		Luc De Raedt: Logic of Generality. Encyclopedia of Machine Learning 2010: 624-631
166		Luc De Raedt: Multi-Relational Data Mining. Encyclopedia of Machine Learning 2010: 711
165		Luc De Raedt, Kristian Kersting: Statistical Relational Learning. Encyclopedia of Machine Learning 2010: 916-924
164		Angelika Kimmig, Bart Demoen, Luc De Raedt, Vítor Santos Costa, Ricardo Rocha: On the Implementation of the Probabilistic Logic Programming Language ProbLog CoRR abs/1006.4442: (2010)
163		Anton Dries, Luc De Raedt, Siegfried Nijssen: Mining Predictive k-CNF Expressions. IEEE Trans. Knowl. Data Eng. 22(5): 743-748 (2010)
162		Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi: Fast learning of relational kernels. Machine Learning 78(3): 305-342 (2010)
	2009
161		Anton Dries, Siegfried Nijssen, Luc De Raedt: A query language for analyzing networks. CIKM 2009: 485-494
160		Luc De Raedt: Constraint Programming for Data Mining. EGC 2009: 3
159		Luc De Raedt: The Logic of Learning. ICFCA 2009: 57
158		Luc De Raedt: Probabilistic Logic Learning - A Tutorial Abstract. ICLP 2009: 39
157		Angelika Kimmig, Luc De Raedt: Local Query Mining in a Probabilistic Prolog. IJCAI 2009: 1095-1100
156		Anton Dries, Luc De Raedt: Towards Clausal Discovery for Stream Mining. ILP 2009: 9-16
155		Siegfried Nijssen, Tias Guns, Luc De Raedt: Correlated itemset mining in ROC space: a constraint programming approach. KDD 2009: 647-656
154		Siegfried Nijssen, Luc De Raedt: Grammar Mining. SDM 2009: 1026-1037
153		Albrecht Zimmermann, Luc De Raedt: Cluster-grouping: from subgroup discovery to clustering. Machine Learning 77(1): 125-159 (2009)
152		Luc De Raedt, Jan Ramon: Deriving distance metrics from generality relations. Pattern Recognition Letters 30(3): 187-191 (2009)
	2008
151		Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Kristian Kersting, Stephen Muggleton: Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04. - 20.04.2007 Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2008
150		Luc De Raedt, Barbara Hammer, Pascal Hitzler, Wolfgang Maass: Recurrent Neural Networks - Models, Capacities, and Applications, 20.01. - 25.01.2008 Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2008
149		Luc De Raedt: Logical and relational learning. Springer 2008: I-XV, 1-387
148		Luc De Raedt, Paolo Frasconi, Kristian Kersting, Stephen Muggleton: Probabilistic Inductive Logic Programming - Theory and Applications Springer 2008
147		Kurt De Grave, Jan Ramon, Luc De Raedt: Active Learning for High Throughput Screening. Discovery Science 2008: 185-196
146		Bernd Gutmann, Angelika Kimmig, Kristian Kersting, Luc De Raedt: Parameter Learning in Probabilistic Databases: A Least Squares Approach. ECML/PKDD (1) 2008: 473-488
145		Ingo Thon, Niels Landwehr, Luc De Raedt: A Simple Model for Sequences of Relational State Descriptions. ECML/PKDD (2) 2008: 506-521
144		Angelika Kimmig, Vítor Santos Costa, Ricardo Rocha, Bart Demoen, Luc De Raedt: On the Efficient Execution of ProbLog Programs. ICLP 2008: 175-189
143		Luc De Raedt, Tias Guns, Siegfried Nijssen: Constraint programming for itemset mining. KDD 2008: 204-212
142		Luc De Raedt, Kristian Kersting: Probabilistic Inductive Logic Programming. Probabilistic Inductive Logic Programming 2008: 1-27
141		Kristian Kersting, Luc De Raedt: Basic Principles of Learning Bayesian Logic Programs. Probabilistic Inductive Logic Programming 2008: 189-221
140		Kristian Kersting, Luc De Raedt, Bernd Gutmann, Andreas Karwath, Niels Landwehr: Relational Sequence Learning. Probabilistic Inductive Logic Programming 2008: 28-55
139		Luc De Raedt, Barbara Hammer, Pascal Hitzler, Wolfgang Maass: 08041 Abstracts Collection -- Recurrent Neural Networks - Models, Capacities, and Applications. Recurrent Neural Networks 2008
138		Luc De Raedt, Barbara Hammer, Pascal Hitzler, Wolfgang Maass: 08041 Summary -- Recurrent Neural Networks - Models, Capacities, and Applications. Recurrent Neural Networks 2008
137		Luc De Raedt: Logical and Relational Learning. SBIA 2008: 1
136		Luc De Raedt: Logic, Probability and Learning, or an Introduction to Statistical Relational Learning. SBIA 2008: 5
135		Ulrich Rückert, Luc De Raedt: An experimental evaluation of simplicity in rule learning. Artif. Intell. 172(1): 19-28 (2008)
134		Niels Landwehr, Bernd Gutmann, Ingo Thon, Luc De Raedt, Matthai Philipose: Relational Transformation-based Tagging for Activity Recognition. Fundam. Inform. 89(1): 111-129 (2008)
133		Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen: Compressing probabilistic Prolog programs. Machine Learning 70(2-3): 151-168 (2008)
	2007
132		Angelika Kimmig, Luc De Raedt, Hannu Toivonen: Probabilistic Explanation Based Learning. ECML 2007: 176-187
131		Luc De Raedt, Angelika Kimmig, Hannu Toivonen: ProbLog: A Probabilistic Prolog and Its Application in Link Discovery. IJCAI 2007: 2462-2467
130		Gemma C. Garriga, Roni Khardon, Luc De Raedt: On Mining Closed Sets in Multi-Relational Data. IJCAI 2007: 804-809
129		Niels Landwehr, Luc De Raedt: r-grams: Relational Grams. IJCAI 2007: 907-912
128		Tayfun Gürel, Ulrich Egert, Steffen Kandler, Luc De Raedt, Stefan Rotter: Predicting Spike Activity in Neuronal Cultures. IJCNN 2007: 2942-2947
127		Luc De Raedt: ProbLog and its Application to Link Mining in Biological Networks. MLG 2007
126		Luc De Raedt: Statistical Relational Learning - A Logical Approach (Abstract of Invited Talk). NeSy 2007
125		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
124		Luc De Raedt, Albrecht Zimmermann: Constraint-Based Pattern Set Mining. SDM 2007
123		Tayfun Gürel, Luc De Raedt, Stefan Rotter: Mining Structure-Activity Relations in Biological Neural Networks using NeuronRank. Perspectives of Neural-Symbolic Integration 2007: 49-65
122		Niels Landwehr, Kristian Kersting, Luc De Raedt: Integrating Naïve Bayes and FOIL. Journal of Machine Learning Research 8: 481-507 (2007)
121		Tayfun Gürel, Luc De Raedt, Stefan Rotter: Ranking neurons for mining structure-activity relations in biological neural networks: NeuronRank. Neurocomputing 70(10-12): 1897-1901 (2007)
	2006
120		Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton: Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January - 4. February 2005 Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany 2006
119		Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi: kFOIL: Learning Simple Relational Kernels. AAAI 2006: 389-394
118		Tamás Horváth, Björn Bringmann, Luc De Raedt: Frequent Hypergraph Mining. ILP 2006: 244-259
117		Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen: Revising Probabilistic Prolog Programs. ILP 2006: 30-33
116		Alexandru Cocora, Kristian Kersting, Christian Plagemann, Wolfram Burgard, Luc De Raedt: Learning Relational Navigation Policies. IROS 2006: 2792-2797
115		Jérémy Besson, Céline Robardet, Luc De Raedt, Jean-François Boulicaut: Mining Bi-sets in Numerical Data. KDID 2006: 11-23
114		Siegfried Nijssen, Luc De Raedt: IQL: A Proposal for an Inductive Query Language. KDID 2006: 189-207
113		Björn Bringmann, Albrecht Zimmermann, Luc De Raedt, Siegfried Nijssen: Don't Be Afraid of Simpler Patterns. PKDD 2006: 55-66
112		Kristian Kersting, Luc De Raedt, Tapani Raiko: Logical Hidden Markov Models. J. Artif. Intell. Res. (JAIR) 25: 425-456 (2006)
111		Andrea Passerini, Paolo Frasconi, Luc De Raedt: Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. Journal of Machine Learning Research 7: 307-342 (2006)
110		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 29(2): 81-87 (2006)
	2005
109		Luc De Raedt, Stefan Wrobel: Machine Learning, Proceedings of the Twenty-Second International Conference (ICML 2005), Bonn, Germany, August 7-11, 2005 ACM 2005
108		Jean-François Boulicaut, Luc De Raedt, Heikki Mannila: Constraint-Based Mining and Inductive Databases, European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March 11-13, 2004, Revised Selected Papers Springer 2005
107		Luc De Raedt, Kristian Kersting, Sunna Torge: Towards Learning Stochastic Logic Programs from Proof-Banks. AAAI 2005: 752-757
106		Niels Landwehr, Kristian Kersting, Luc De Raedt: nFOIL: Integrating Naïve Bayes and FOIL. AAAI 2005: 795-800
105		Christian Stolle, Andreas Karwath, Luc De Raedt: CLASSIC'CL: An Integrated ILP System. Discovery Science 2005: 354-362
104		Luc De Raedt: Statistical Relational Learning: An Inductive Logic Programming Perspective. PKDD 2005: 3-5
103		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
102		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
101		Andrea Passerini, Paolo Frasconi, Luc De Raedt: Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. Probabilistic, Logical and Relational Learning 2005
100		Takashi Washio, Luc De Raedt, Joost N. Kok: Advances in Mining Graphs, Trees and Sequences. Fundam. Inform. 66(1-2): (2005)
	2004
99		Luc De Raedt, Kristian Kersting: Probabilistic Inductive Logic Programming. ALT 2004: 19-36
98		Albrecht Zimmermann, Luc De Raedt: Inductive Querying for Discovering Subgroups and Clusters. Constraint-Based Mining and Inductive Databases 2004: 380-399
97		Luc De Raedt: Towards Query Evaluation in Inductive Databases Using Version Spaces. Database Support for Data Mining Applications 2004: 117-134
96		Sau Dan Lee, Luc De Raedt: Constraint Based Mining of First Order Sequences in SeqLog. Database Support for Data Mining Applications 2004: 154-173
95		Andreas Karwath, Luc De Raedt: Predictive Graph Mining. Discovery Science 2004: 1-15
94		Albrecht Zimmermann, Luc De Raedt: CorClass: Correlated Association Rule Mining for Classification. Discovery Science 2004: 60-72
93		Albrecht Zimmermann, Luc De Raedt: Cluster-Grouping: From Subgroup Discovery to Clustering. ECML 2004: 575-577
92		Kristian Kersting, Martijn van Otterlo, Luc De Raedt: Bellman goes relational. ICML 2004
91		Kristian Kersting, Luc De Raedt: Logical Markov Decision Programs and the Convergence of Logical TD(lambda). ILP 2004: 180-197
90		Sau Dan Lee, Luc De Raedt: An Efficient Algorithm for Mining String Databases Under Constraints. KDID 2004: 108-129
89		Luc De Raedt, Jan Ramon: Condensed Representations for Inductive Logic Programming. KR 2004: 438-446
88		Johannes Fischer, Luc De Raedt: Towards Optimizing Conjunctive Inductive Queries. PAKDD 2004: 625-637
87		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 44(4): 1402-1411 (2004)
	2003
86		Sau Dan Lee, Luc De Raedt: An Algebra for Inductive Query Evaluation. ICDM 2003: 147-154
85		Johannes Fischer, Luc De Raedt: Towards Optimizing Conjunctive Inductive Queries. KDID 2003: 44-59
84		Sau Dan Lee, Luc De Raedt: An Algebra for Inductive Query Evaluation. KDID 2003: 80-96
83		Kristian Kersting, Tapani Raiko, Stefan Kramer, Luc De Raedt: Towards Discovering Structural Signatures of Protein Folds Based on Logical Hidden Markov Models. Pacific Symposium on Biocomputing 2003: 192-203
82		Saso Dzeroski, Luc De Raedt: Multi-relational data mining: the current frontiers. SIGKDD Explorations 5(1): 100-101 (2003)
81		Luc De Raedt, Kristian Kersting: Probabilistic logic learning. SIGKDD Explorations 5(1): 31-48 (2003)
80		Saso Dzeroski, Luc De Raedt, Stefan Wrobel: Multirelational data mining 2003: workshop report. SIGKDD Explorations 5(2): 200-202 (2003)
	2002
79		Luc De Raedt: Data Mining as Constraint Logic Programming. Computational Logic: Logic Programming and Beyond 2002: 526-547
78		Ulrich Rückert, Stefan Kramer, Luc De Raedt: Phase Transitions and Stochastic Local Search in k-Term DNF Learning. ECML 2002: 405-417
77		Luc De Raedt, Manfred Jaeger, Sau Dan Lee, Heikki Mannila: A Theory of Inductive Query Answering. ICDM 2002: 123-130
76		Sau Dan Lee, Luc De Raedt: Constraint Based Mining of First Order Sequences in SeqLog. KDID 2002: 76-92
75		Kristian Kersting, Tapani Raiko, Luc De Raedt: Logical Hidden Markov Models (Extendes abstract). Probabilistic Graphical Models 2002
74		Saso Dzeroski, Luc De Raedt: Multi-Relational Data Mining: a Workshop Report. SIGKDD Explorations 4(2): 122-124 (2002)
73		Luc De Raedt: A Perspective on Inductive Databases. SIGKDD Explorations 4(2): 69-77 (2002)
	2001
72		Luc De Raedt, Peter A. Flach: Machine Learning: EMCL 2001, 12th European Conference on Machine Learning, Freiburg, Germany, September 5-7, 2001, Proceedings Springer 2001
71		Luc De Raedt, Arno Siebes: Principles of Data Mining and Knowledge Discovery, 5th European Conference, PKDD 2001, Freiburg, Germany, September 3-5, 2001, Proceedings Springer 2001
70		Stefan Kramer, Luc De Raedt: Feature Construction with Version Spaces for Biochemical Applications. ICML 2001: 258-265
69		Luc De Raedt, Stefan Kramer: The Levelwise Version Space Algorithm and its Application to Molecular Fragment Finding. IJCAI 2001: 853-862
68		Kristian Kersting, Luc De Raedt: Adaptive Bayesian Logic Programs. ILP 2001: 104-117
67		Kristian Kersting, Luc De Raedt: Towards Combining Inductive Logic Programming with Bayesian Networks. ILP 2001: 118-131
66		Stefan Kramer, Luc De Raedt, Christoph Helma: Molecular feature mining in HIV data. KDD 2001: 136-143
65		Wim Van Laer, Luc De Raedt: How to Upgrade Propositional Learners to First Order Logic: A Case Study. Machine Learning and Its Applications 2001: 102-126
64		Kristian Kersting, Luc De Raedt: Bayesian Logic Programs CoRR cs.AI/0111058: (2001)
63		Saso Dzeroski, Luc De Raedt, Kurt Driessens: Relational Reinforcement Learning. Machine Learning 43(1/2): 7-52 (2001)
	2000
62		Luc De Raedt: A Logical Database Mining Query Language. ILP 2000: 78-92
61		Kristian Kersting, Luc De Raedt: Bayesian Logic Programs. ILP Work-in-progress reports 2000
60		Luc De Raedt, Johannes A. La Poutré, Floor Verdenius: AI Research in the Benelux - Guest Editorial. AI Commun. 13(1): 1-2 (2000)
59		Luc De Raedt, Maarten van Someren: Benelearn: The First 10 Years. AI Commun. 13(1): 3-4 (2000)
58		Hendrik Blockeel, Luc De Raedt, Jan Ramon: Top-down induction of clustering trees CoRR cs.LG/0011032: (2000)
57		Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart Demoen: Scaling Up Inductive Logic Programming by Learning from Interpretations CoRR cs.LG/0011044: (2000)
	1999
56		Shan-Hwei Nienhuys-Cheng, Wim Van Laer, Jan Ramon, Luc De Raedt: Generalizing Refinement Operators to Learn Prenex Conjunctive Normal Forms. ILP 1999: 245-256
55		Jan Ramon, Luc De Raedt: Instance Based Function Learning. ILP 1999: 268-278
54		Luc De Raedt: Database Mining and Inductive Logic Programming. JFPLC 1999: 73-74
53		Luc De Raedt, Hendrik Blockeel: Relational Learning and Inductive Logic Programming Made Easy Abstract of Tutorial. PKDD 1999: 590
52		Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart Demoen: Scaling Up Inductive Logic Programming by Learning from Interpretations. Data Min. Knowl. Discov. 3(1): 59-93 (1999)
	1998
51		Luc De Raedt: An Inductive Logic Programming Query Language for Database Mining. AISC 1998: 1-13
50		Saso Dzeroski, Luc De Raedt, Hendrik Blockeel: Relational Reinforcement Learning. ICML 1998: 136-143
49		Hendrik Blockeel, Luc De Raedt, Jan Ramon: Top-Down Induction of Clustering Trees. ICML 1998: 55-63
48		Luc De Raedt: Attribute-Value Learning Versus Inductive Logic Programming: The Missing Links (Extended Abstract). ILP 1998: 1-8
47		Saso Dzeroski, Luc De Raedt, Hendrik Blockeel: Relational Reinforcement Learning. ILP 1998: 11-22
46		Nico Jacobs, Kurt Driessens, Luc De Raedt: Using ILP-Systems for Verification and Validation of Multi-agent Systems. ILP 1998: 145-154
45		Kurt Driessens, Nico Jacobs, Nathalie Cossement, Patrick Monsieurs, Luc De Raedt: Inductive Verification and Validation of the KULRoT RoboCup Team. RoboCup 1998: 193-206
44		Hendrik Blockeel, Luc De Raedt: Isidd: An Interactive System for Inductive Database Design. Applied Artificial Intelligence 12(5): 385-420 (1998)
43		Hendrik Blockeel, Luc De Raedt: Top-Down Induction of First-Order Logical Decision Trees. Artif. Intell. 101(1-2): 285-297 (1998)
	1997
42		Luc De Raedt, Peter Idestam-Almquist, Gunther Sablon: Theta-Subsumption for Structural Matching. ECML 1997: 73-84
41		Luc De Raedt: Machine Learning for Verification and Validation. EUROVAV 1997: 4
40		Luc Dehaspe, Luc De Raedt: Mining Association Rules in Multiple Relations. ILP 1997: 125-132
39		Luc De Raedt, Hendrik Blockeel: Using Logical Decision Trees for Clustering. ILP 1997: 133-140
38		Hendrik Blockeel, Luc De Raedt: Lookahead and Discretization in ILP. ILP 1997: 77-84
37		Wim Van Laer, Luc De Raedt, Saso Dzeroski: On Multi-class Problems and Discretization in Inductive Logic Programming. ISMIS 1997: 277-286
36		Luc De Raedt: Artificial Intelligence in Belgium and the BeNeLux: Past and Future. AI Commun. 10(3-4): 201-202 (1997)
35		Luc De Raedt: Logical Settings for Concept-Learning. Artif. Intell. 95(1): 187-201 (1997)
34		Luc De Raedt, Luc Dehaspe: Clausal Discovery. Machine Learning 26(2-3): 99-146 (1997)
	1996
33		Hendrik Blockeel, Luc De Raedt: Inductive Database Design. ISMIS 1996: 376-385
32		Luc De Raedt: PAC-Learning Logic Programs under the Closed-World Assumption. ISMIS 1996: 531-540
31		Luc Dehaspe, Luc De Raedt: DLAB: A Declarative Language Bias Formalism. ISMIS 1996: 613-622
30		Hendrik Blockeel, Luc De Raedt: Relational Knowledge Discovery in Databases. Inductive Logic Programming Workshop 1996: 199-211
29		Erika Van Baelen, Luc De Raedt: Analysis and Prediction of Piano Performances Using Inductive Logic Programming. Inductive Logic Programming Workshop 1996: 55-71
28		Luc De Raedt, Nada Lavrac: Multiple Predicate Learning in Two Inductive Logic Programming Settings. Logic Journal of the IGPL 4(2): 227-254 (1996)
	1995
27		Luc De Raedt, Wim Van Laer: Inductive Constraint Logic. ALT 1995: 80-94
26		Gunther Sablon, Luc De Raedt: Forgetting and Compacting data in Concept Learning. IJCAI 1995: 432-438
25		Nada Lavrac, Luc De Raedt: Inductive Logic Programming: A Survey of European Research. AI Commun. 8(1): 3-19 (1995)
24		Hilde Adé, Luc De Raedt, Maurice Bruynooghe: Declarative Bias for Specific-to-General ILP Systems. Machine Learning 20(1-2): 119-154 (1995)
	1994
23		Francesco Bergadano, Luc De Raedt: Machine Learning: ECML-94, European Conference on Machine Learning, Catania, Italy, April 6-8, 1994, Proceedings Springer 1994
22		Hilde Adé, Bart Malfait, Luc De Raedt: RUTH: an ILP Theory Revision System. ISMIS 1994: 336-345
21		Wim Van Laer, Luc Dehaspe, Luc De Raedt: Applications of a Logical Discovery Engine. KDD Workshop 1994: 263-274
20		Gunther Sablon, Luc De Raedt, Maurice Bruynooghe: Iterative Versionspaces. Artif. Intell. 69(1-2): 393-409 (1994)
19		Luc De Raedt, Saso Dzeroski: First-Order jk-Clausal Theories are PAC-Learnable. Artif. Intell. 70(1-2): 375-392 (1994)
18		Stephen Muggleton, Luc De Raedt: Inductive Logic Programming: Theory and Methods. J. Log. Program. 19/20: 629-679 (1994)
	1993
17		Luc De Raedt, Nada Lavrac, Saso Dzeroski: Multiple Predicate Learning. IJCAI 1993: 1037-1043
16		Luc De Raedt, Maurice Bruynooghe: A Theory of Clausal Discovery. IJCAI 1993: 1058-1063
15		Luc De Raedt: A Brief Introduction to Inductive Logic Programming. ILPS 1993: 45-51
14		Luc De Raedt, Nada Lavrac: The Many Faces of Inductive Logic Programming. ISMIS 1993: 435-449
	1992
13		Hilde Adé, Luc De Raedt, Maurice Bruynooghe: Inverse Resolution in an Integrated Inductive-Deductive Learning System. ECAI 1992: 456-457
12		Luc De Raedt, Maurice Bruynooghe: Belief Updating from Integrity Constraints and Queries. Artif. Intell. 53(2-3): 291-307 (1992)
11		Luc De Raedt, Johan Feyaerts, Maurice Bruynooghe: Acquiring object-knowledge. J. Exp. Theor. Artif. Intell. 4(3): 213-232 (1992)
10		Luc De Raedt, Maurice Bruynooghe: Interactive Concept-Learning and Constructive Induction by Analogy. Machine Learning 8: 107-150 (1992)
	1991
9		Luc De Raedt, Johan Feyaerts, Maurice Bruynooghe: Acquiring Object-Knowledge for Learning Systems. EWSL 1991: 245-264
8		Luc De Raedt: Panel: Logic and Learnability. EWSL 1991: 344
7		Luc De Raedt, Maurice Bruynooghe, Bern Martens: Integrity Constraints and Interactive Concept-Learning. ML 1991: 394-398
	1990
6		Luc De Raedt, Maurice Bruynooghe: On Negation and Three-Valued Logic in Interactive Concept-Learning. ECAI 1990: 207-212
	1989
5		Gunther Sablon, Luc De Raedt, Maurice Bruynooghe: Generalizing Multiple Examples in Explanation Based Learning. AII 1989: 177-183
4		Maurice Bruynooghe, Luc De Raedt, Danny De Schreye: Explanation Based Program Transformation. IJCAI 1989: 407-412
3		Luc De Raedt, Maurice Bruynooghe: Towards Friendly Concept-Learners. IJCAI 1989: 849-858
2		Luc De Raedt, Maurice Bruynooghe: Constructive Induction by Analogy. ML 1989: 476-477
	1988
1		Luc De Raedt, Maurice Bruynooghe: On Interactive Concept-Learning and Assimilation. EWSL 1988: 167-176

Coauthor Index

1	Hilde Adé	[13] [22] [24]
2	Laura Antanas (Laura-Andreea Antanas)	[172] [195]
3	Rolf Backofen	[110]
4	Erika Van Baelen	[29]
5	Francesco Bergadano	[23]
6	Jérémy Besson	[115]
7	Hendrik Blockeel	[30] [33] [38] [39] [43] [44] [47] [49] [50] [52] [53] [57] [58] [180]
8	Karsten M. Borgwardt	[180]
9	Hans-Gunther Borrmann	[110]
10	Jean-François Boulicaut	[108] [115]
11	Ivan Bratko	[193]
12	Björn Bringmann	[113] [118]
13	Guy Van den Broeck	[174] [186] [189] [192] [194]
14	Maurice Bruynooghe	[1] [2] [3] [4] [5] [6] [7] [9] [10] [11] [12] [13] [16] [20] [24] [173] [177] [184]
15	Wolfram Burgard	[116]
16	Alexandru Cocora	[116]
17	Nathalie Cossement	[45]
18	Fabrizio Costa	[179]
19	Vítor Santos Costa	[144] [164] [178]
20	Tobias Cramer	[87]
21	Jesse Davis	[189]
22	Werner Deck	[110]
23	Andreas Dedner	[110]
24	Luc Dehaspe	[21] [31] [34] [40]
25	Bart Demoen	[52] [57] [144] [164] [178]
26	Klaus Desch	[110]
27	Markus Diesmann	[110]
28	Thomas G. Dietterich	[102] [103] [120] [125] [151]
29	Pedro Domingos	[180]
30	Anton Dries	[156] [161] [163]
31	Kurt Driessens	[45] [46] [63]
32	Saso Dzeroski	[17] [19] [37] [47] [50] [63] [74] [80] [82]
33	Ulrich Egert	[128]
34	Johan Feyaerts	[9] [11]
35	Daan Fierens	[186] [194]
36	Johannes Fischer	[85] [88]
37	Peter A. Flach	[72] [193]
38	Paolo Frasconi	[101] [111] [119] [148] [162]
39	Gemma C. Garriga (Gemma Casas-Garriga)	[130]
40	Martin Geier	[110]
41	Lise Getoor	[102] [103] [120] [125] [151]
42	Kurt De Grave	[147]
43	Andreas Greiner	[110]
44	Tias Guns	[143] [155] [175] [185] [187] [190]
45	Tayfun Gürel	[121] [123] [128]
46	Bernd Gutmann	[134] [140] [146] [170] [173] [177] [184] [186] [191] [194]
47	Barbara Hammer	[138] [139] [150]
48	Christoph Helma	[66] [87]
49	Pascal Van Hentenryck	[182]
50	Wolfgang R. Hess	[110]
51	Pascal Hitzler	[138] [139] [150]
52	Josef Honerkamp	[110]
53	Tamás Horváth	[118]
54	Peter Idestam-Almquist	[42]
55	Katsumi Inoue	[193]
56	Nico Jacobs	[45] [46] [52] [57]
57	Manfred Jaeger	[77] [170]
58	Stefan Jankowski	[110]
59	Gerda Janssens	[173]
60	Steffen Kandler	[128]
61	Andreas Karwath	[95] [105] [110] [140]
62	Kristian Kersting	[61] [64] [67] [68] [75] [81] [83] [91] [92] [99] [106] [107] [112] [116] [117] [122] [125] [133] [140] [141] [142] [146] [148] [151] [165] [180] [183]
63	Roni Khardon	[130]
64	Angelika Kimmig	[117] [131] [132] [133] [144] [146] [157] [164] [173] [177] [178] [184] [192]
65	Robert Klöfkorn	[110]
66	Joost N. Kok	[100]
67	Stefan Kramer	[66] [69] [70] [78] [83] [87]
68	Ingo Krossing	[110]
69	Wim Van Laer	[21] [27] [37] [56] [65]
70	Niels Landwehr	[106] [119] [122] [129] [134] [140] [145] [162] [181]
71	Nada Lavrac	[14] [17] [25] [28]
72	Sau Dan Lee	[76] [77] [84] [86] [90] [96]
73	Andreas W. Liehr	[110]
74	José Oramas M.	[172] [195]
75	Wolfgang Maass	[138] [139] [150]
76	Bart Malfait	[22]
77	Heikki Mannila	[77] [108]
78	Theofrastos Mantadelis	[173]
79	Bern Martens	[7]
80	Wannes Meert	[189]
81	Patrick Monsieurs	[45]
82	Stephen Muggleton	[18] [102] [103] [120] [125] [148] [151] [193]
83	Shan-Hwei Nienhuys-Cheng	[56]
84	Siegfried Nijssen	[113] [114] [143] [154] [155] [161] [163] [175] [182] [185] [187] [188] [190]
85	Barry O'Sullivan	[182]
86	Martijn van Otterlo	[92] [172] [174] [195]
87	Andrea Passerini	[101] [111] [119] [162]
88	Raphaël Pesché	[110]
89	Matthai Philipose	[134]
90	Christian Plagemann	[116]
91	David Poole	[193]
92	Tobias C. Potjans	[110]
93	Johannes A. La Poutré (Han La Poutré)	[60]
94	Tapani Raiko	[75] [83] [112] [183]
95	Jan Ramon	[49] [55] [56] [58] [89] [147] [152] [179]
96	Kate Revoredo	[117] [133]
97	Céline Robardet	[115]
98	Ricardo Rocha (Ricardo Jorge Gomes Lopes da Rocha)	[144] [164] [178]
99	Stefan Rotter	[121] [123] [128]
100	Michael C. Röttger	[110]
101	Ulrich Rückert	[78] [135]
102	Gunther Sablon	[5] [20] [26] [42]
103	Leander Schietgat	[179]
104	Lars Schmidt-Thieme	[110]
105	Gerhard Schneider	[110]
106	Danny De Schreye	[4]
107	Arno Siebes	[71]
108	Maarten van Someren	[59]
109	Ashwin Srinivasan	[193]
110	Christian Stolle	[105]
111	Nima Taghipour	[189]
112	Ingo Thon	[134] [145] [171] [174] [177] [181] [184] [186] [191] [194]
113	Hannu Toivonen	[117] [131] [132] [133]
114	Sunna Torge	[107]
115	Tinne Tuytelaars	[172] [195]
116	Joost Vennekens	[173]
117	Floor Verdenius	[60]
118	Björn Voß (Björn Voss)	[110]
119	Takashi Washio	[100]
120	Bernd Wiebelt	[110]
121	Peter Wienemann	[110]
122	Volker-Henning Winterer	[110]
123	Stefan Wrobel	[80] [109]
124	Xifeng Yan	[180]
125	Albrecht Zimmermann	[93] [94] [98] [113] [124] [153] [190]

Colors in the list of coauthors

Last update Sat May 26 02:31:23 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page