 | 2010 |
|---|
| 158 |       | Luc De Raedt:
About Knowledge and Inference in Logical and Relational Learning.
Advances in Machine Learning II 2010: 143-153 |
| 2009 |
|---|
| 157 | | Anton Dries,
Siegfried Nijssen,
Luc De Raedt:
A query language for analyzing networks.
CIKM 2009: 485-494 |
| 156 |  | Luc De Raedt:
Constraint Programming for Data Mining.
EGC 2009: 3 |
| 155 | | Luc De Raedt:
The Logic of Learning.
ICFCA 2009: 57 |
| 154 | | Luc De Raedt:
Probabilistic Logic Learning - A Tutorial Abstract.
ICLP 2009: 39 |
| 153 | | Angelika Kimmig,
Luc De Raedt:
Local Query Mining in a Probabilistic Prolog.
IJCAI 2009: 1095-1100 |
| 152 | | Siegfried Nijssen,
Tias Guns,
Luc De Raedt:
Correlated itemset mining in ROC space: a constraint programming approach.
KDD 2009: 647-656 |
| 151 | | Siegfried Nijssen,
Luc De Raedt:
Grammar Mining.
SDM 2009: 1026-1037 |
| 150 | | Albrecht Zimmermann,
Luc De Raedt:
Cluster-grouping: from subgroup discovery to clustering.
Machine Learning 77(1): 125-159 (2009) |
| 149 | | Luc De Raedt,
Jan Ramon:
Deriving distance metrics from generality relations.
Pattern Recognition Letters 30(3): 187-191 (2009) |
| 2008 |
|---|
| 148 | | 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 |
| 147 | | 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 |
| 146 | | Luc De Raedt,
Paolo Frasconi,
Kristian Kersting,
Stephen Muggleton:
Probabilistic Inductive Logic Programming - Theory and Applications
Springer 2008 |
| 145 | | Kurt De Grave,
Jan Ramon,
Luc De Raedt:
Active Learning for High Throughput Screening.
Discovery Science 2008: 185-196 |
| 144 | | Bernd Gutmann,
Angelika Kimmig,
Kristian Kersting,
Luc De Raedt:
Parameter Learning in Probabilistic Databases: A Least Squares Approach.
ECML/PKDD (1) 2008: 473-488 |
| 143 | | Ingo Thon,
Niels Landwehr,
Luc De Raedt:
A Simple Model for Sequences of Relational State Descriptions.
ECML/PKDD (2) 2008: 506-521 |
| 142 | | Angelika Kimmig,
Vítor Santos Costa,
Ricardo Rocha,
Bart Demoen,
Luc De Raedt:
On the Efficient Execution of ProbLog Programs.
ICLP 2008: 175-189 |
| 141 | | Luc De Raedt,
Tias Guns,
Siegfried Nijssen:
Constraint programming for itemset mining.
KDD 2008: 204-212 |
| 140 | | Luc De Raedt,
Kristian Kersting:
Probabilistic Inductive Logic Programming.
Probabilistic Inductive Logic Programming 2008: 1-27 |
| 139 | | Kristian Kersting,
Luc De Raedt:
Basic Principles of Learning Bayesian Logic Programs.
Probabilistic Inductive Logic Programming 2008: 189-221 |
| 138 | | Kristian Kersting,
Luc De Raedt,
Bernd Gutmann,
Andreas Karwath,
Niels Landwehr:
Relational Sequence Learning.
Probabilistic Inductive Logic Programming 2008: 28-55 |
| 137 | | Luc De Raedt,
Barbara Hammer,
Pascal Hitzler,
Wolfgang Maass:
08041 Abstracts Collection -- Recurrent Neural Networks - Models, Capacities, and Applications.
Recurrent Neural Networks 2008 |
| 136 | | Luc De Raedt,
Barbara Hammer,
Pascal Hitzler,
Wolfgang Maass:
08041 Summary -- Recurrent Neural Networks - Models, Capacities, and Applications.
Recurrent Neural Networks 2008 |
| 135 | | Luc De Raedt:
Logical and Relational Learning.
SBIA 2008: 1 |
| 134 | | Luc De Raedt:
Logic, Probability and Learning, or an Introduction to Statistical Relational Learning.
SBIA 2008: 5 |
| 133 | | Ulrich Rückert,
Luc De Raedt:
An experimental evaluation of simplicity in rule learning.
Artif. Intell. 172(1): 19-28 (2008) |
| 132 | | 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) |
| 131 | | Luc De Raedt,
Kristian Kersting,
Angelika Kimmig,
Kate Revoredo,
Hannu Toivonen:
Compressing probabilistic Prolog programs.
Machine Learning 70(2-3): 151-168 (2008) |
| 2007 |
|---|
| 130 | | Angelika Kimmig,
Luc De Raedt,
Hannu Toivonen:
Probabilistic Explanation Based Learning.
ECML 2007: 176-187 |
| 129 | | Luc De Raedt,
Angelika Kimmig,
Hannu Toivonen:
ProbLog: A Probabilistic Prolog and Its Application in Link Discovery.
IJCAI 2007: 2462-2467 |
| 128 | | Gemma C. Garriga,
Roni Khardon,
Luc De Raedt:
On Mining Closed Sets in Multi-Relational Data.
IJCAI 2007: 804-809 |
| 127 | | Niels Landwehr,
Luc De Raedt:
r-grams: Relational Grams.
IJCAI 2007: 907-912 |
| 126 | | Tayfun Gürel,
Ulrich Egert,
Steffen Kandler,
Luc De Raedt,
Stefan Rotter:
Predicting Spike Activity in Neuronal Cultures.
IJCNN 2007: 2942-2947 |
| 125 | | Luc De Raedt:
ProbLog and its Application to Link Mining in Biological Networks.
MLG 2007 |
| 124 | | Luc De Raedt:
Statistical Relational Learning - A Logical Approach (Abstract of Invited Talk).
NeSy 2007 |
| 123 | | 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 |
| 122 | | Luc De Raedt,
Albrecht Zimmermann:
Constraint-Based Pattern Set Mining.
SDM 2007 |
| 121 | | 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 |
| 120 | | 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 |
|---|
| 119 | | 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 |
| 118 | | Niels Landwehr,
Andrea Passerini,
Luc De Raedt,
Paolo Frasconi:
kFOIL: Learning Simple Relational Kernels.
AAAI 2006 |
| 117 | | Tamás Horváth,
Björn Bringmann,
Luc De Raedt:
Frequent Hypergraph Mining.
ILP 2006: 244-259 |
| 116 | | Luc De Raedt,
Kristian Kersting,
Angelika Kimmig,
Kate Revoredo,
Hannu Toivonen:
Revising Probabilistic Prolog Programs.
ILP 2006: 30-33 |
| 115 | | Alexandru Cocora,
Kristian Kersting,
Christian Plagemann,
Wolfram Burgard,
Luc De Raedt:
Learning Relational Navigation Policies.
IROS 2006: 2792-2797 |
| 114 | | Jérémy Besson,
Céline Robardet,
Luc De Raedt,
Jean-François Boulicaut:
Mining Bi-sets in Numerical Data.
KDID 2006: 11-23 |
| 113 | | Siegfried Nijssen,
Luc De Raedt:
IQL: A Proposal for an Inductive Query Language.
KDID 2006: 189-207 |
| 112 | | Björn Bringmann,
Albrecht Zimmermann,
Luc De Raedt,
Siegfried Nijssen:
Don't Be Afraid of Simpler Patterns.
PKDD 2006: 55-66 |
| 111 | | Kristian Kersting,
Luc De Raedt,
Tapani Raiko:
Logical Hidden Markov Models.
J. Artif. Intell. Res. (JAIR) 25: 425-456 (2006) |
| 110 | | 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) |
| 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 |
