Luc De Raedt

According to our database1, Luc De Raedt
  • authored at least 288 papers between 1988 and 2017.
  • has a "Dijkstra number"2 of four.

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Bibliography

2017
Statistical Relational Learning.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Multi-relational Data Mining.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Logic of Generality.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Inductive Logic Programming.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Semiring Rank Matrix Factorization.
IEEE Trans. Knowl. Data Eng., 2017

Relational data factorization.
Machine Learning, 2017

kProbLog: an algebraic Prolog for machine learning.
Machine Learning, 2017

Planning in hybrid relational MDPs.
Machine Learning, 2017

Learning constraints in spreadsheets and tabular data.
Machine Learning, 2017

Algebraic model counting.
J. Applied Logic, 2017

The Inductive Constraint Programming Loop.
IEEE Intelligent Systems, 2017

Flexible constrained sampling with guarantees for pattern mining.
Data Min. Knowl. Discov., 2017

Context-based object viewpoint estimation: A 2D relational approach.
Computer Vision and Image Understanding, 2017

Context-based Object Viewpoint Estimation: A 2D Relational Approach.
CoRR, 2017

Sketched Answer Set Programming.
CoRR, 2017

MiningZinc: A declarative framework for constraint-based mining.
Artif. Intell., 2017

Solving Probability Problems in Natural Language.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Stochastic Constraint Programming with And-Or Branch-and-Bound.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

TaCLe: Learning Constraints in Tabular Data.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Statistical Relational Artificial Intelligence: Logic, Probability, and Computation
Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, 2016

Learning Constraint Satisfaction Problems: An ILP Perspective.
Proceedings of the Data Mining and Constraint Programming, 2016

Modeling in MiningZinc.
Proceedings of the Data Mining and Constraint Programming, 2016

The Inductive Constraint Programming Loop.
Proceedings of the Data Mining and Constraint Programming, 2016

Probabilistic logic programming for hybrid relational domains.
Machine Learning, 2016

TP-Compilation for inference in probabilistic logic programs.
Int. J. Approx. Reasoning, 2016

Flexible constrained sampling with guarantees for pattern mining.
CoRR, 2016

Semiring Programming: A Framework for Search, Inference and Learning.
CoRR, 2016

Simultaneous discovery of cancer subtypes and subtype features by molecular data integration.
Bioinformatics, 2016

Exploiting local and repeated structure in Dynamic Bayesian Networks.
Artif. Intell., 2016

Learning the Structure of Dynamic Hybrid Relational Models.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Knowledge Compilation and Weighted Model Counting for Inference in Probabilistic Logic Programs.
Proceedings of the Beyond NP, 2016

2015
Inference and learning in probabilistic logic programs using weighted Boolean formulas.
TPLP, 2015

Introduction to the special issue on probability, logic and learning.
TPLP, 2015

PheNetic: network-based interpretation of molecular profiling data.
Nucleic Acids Research, 2015

Probabilistic (logic) programming concepts.
Machine Learning, 2015

Exploring the efficacy of molecular fragments of different complexity in computational SAR modeling.
CoRR, 2015

Lazy Explanation-Based Approximation for Probabilistic Logic Programming.
CoRR, 2015

The Inductive Constraint Programming Loop.
CoRR, 2015

Planning in Discrete and Continuous Markov Decision Processes by Probabilistic Programming.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

ProbLog2: Probabilistic Logic Programming.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Rank Matrix Factorisation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

An Exercise in Declarative Modeling for Relational Query Mining.
Proceedings of the Inductive Logic Programming - 25th International Conference, 2015

kProbLog: An Algebraic Prolog for Kernel Programming.
Proceedings of the Inductive Logic Programming - 25th International Conference, 2015

Relational Kernel-Based Grasping with Numerical Features.
Proceedings of the Inductive Logic Programming - 25th International Conference, 2015

Anytime Inference in Probabilistic Logic Programs with Tp-Compilation.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Inducing Probabilistic Relational Rules from Probabilistic Examples.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Graph Invariant Kernels.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

kLog: A Language for Logical and Relational Learning with Kernels (Extended Abstract).
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Constraint-Based Querying for Bayesian Network Exploration.
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

Languages for Learning and Mining.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
There are plenty of places like home: Using relational representations in hierarchies for distance-based image understanding.
Neurocomputing, 2014

Interactive Learning of Pattern Rankings.
International Journal on Artificial Intelligence Tools, 2014

Constraints, Optimization and Data (Dagstuhl Seminar 14411).
Dagstuhl Reports, 2014

High-level Reasoning and Low-level Learning for Grasping: A Probabilistic Logic Pipeline.
CoRR, 2014

Introduction to the Special Issue on the ECAI 2012 Turing and Anniversary Track.
AI Commun., 2014

kLog: A language for logical and relational learning with kernels.
Artif. Intell., 2014

Towards cautious collective inference for object verification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Application of Dynamic Distributional Clauses for Multi-hypothesis Initialization in Model-based Object Tracking.
Proceedings of the VISAPP 2014, 2014

Lazy and Eager Relational Learning Using Graph-Kernels.
Proceedings of the Statistical Language and Speech Processing, 2014

Relational Regularization and Feature Ranking.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Ranked Tiling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Distributional Clauses Particle Filter.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Learning relational affordance models for two-arm robots.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

PageRank, ProPPR, and Stochastic Logic Programs.
Proceedings of the Inductive Logic Programming - 24th International Conference, 2014

Relational object tracking and learning.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Occluded object search by relational affordances.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Condition Monitoring with Incomplete Observations.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

kLogNLP: Graph Kernel-based Relational Learning of Natural Language.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Efficient Probabilistic Inference for Dynamic Relational Models.
Proceedings of the Statistical Relational Artificial Intelligence, 2014

Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics.
Proceedings of the Statistical Relational Artificial Intelligence, 2014

Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
k-Pattern Set Mining under Constraints.
IEEE Trans. Knowl. Data Eng., 2013

Inference and learning in probabilistic logic programs using weighted Boolean formulas
CoRR, 2013

Probabilistic Programming Concepts.
CoRR, 2013

Mining closed patterns in relational, graph and network data.
Ann. Math. Artif. Intell., 2013

A relational kernel-based approach to scene classification.
Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

A particle filter for hybrid relational domains.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

MiningZinc: A Modeling Language for Constraint-Based Mining.
Proceedings of the IJCAI 2013, 2013

Active Preference Learning for Ranking Patterns.
Proceedings of the 2013 IEEE 25th International Conference on Tools with Artificial Intelligence, 2013

The MiningZinc Framework for Constraint-Based Itemset Mining.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Allocentric Pose Estimation.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Statistical Relational Learning using ProbLog.
Proceedings of the Second International Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data, 2013

MCMC Estimation of Conditional Probabilities in Probabilistic Programming Languages.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

10 Years of Probabilistic Querying - What Next?
Proceedings of the Advances in Databases and Information Systems, 2013

2012
Patterns and Logic for Reasoning with Networks.
Proceedings of the Bisociative Knowledge Discovery, 2012

BiQL: A Query Language for Analyzing Information Networks.
Proceedings of the Bisociative Knowledge Discovery, 2012

ILP turns 20 - Biography and future challenges.
Machine Learning, 2012

Algebraic Model Counting
CoRR, 2012

kLog: A Language for Logical and Relational Learning with Kernels
CoRR, 2012

Inference in Probabilistic Logic Programs using Weighted CNF's
CoRR, 2012

A Relational Kernel-Based Framework for Hierarchical Image Understanding.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

Declarative Modeling for Machine Learning and Data Mining.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Learning relational affordance models for robots in multi-object manipulation tasks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

A Relational Distance-based Framework for Hierarchical Image Understanding.
Proceedings of the ICPRAM 2012, 2012

Declarative Modeling for Machine Learning and Data Mining.
Proceedings of the Formal Concept Analysis - 10th International Conference, 2012

Mining Local Staircase Patterns in Noisy Data.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

A Statistical Relational Learning Approach to Identifying Evidence Based Medicine Categories.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Declarative Modeling for Machine Learning and Data Mining.
Proceedings of the Discovery Science - 15th International Conference, 2012

Declarative Modeling for Machine Learning and Data Mining.
Proceedings of the Algorithmic Learning Theory - 23rd International Conference, 2012

2011
On the implementation of the probabilistic logic programming language ProbLog.
TPLP, 2011

The magic of logical inference in probabilistic programming.
TPLP, 2011

Stochastic relational processes: Efficient inference and applications.
Machine Learning, 2011

Effective feature construction by maximum common subgraph sampling.
Machine Learning, 2011

Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning.
Machine Learning, 2011

Constraint Programming meets Machine Learning and Data Mining (Dagstuhl Seminar 11201).
Dagstuhl Reports, 2011

Logical Hidden Markov Models
CoRR, 2011

The Magic of Logical Inference in Probabilistic Programming
CoRR, 2011

Itemset mining: A constraint programming perspective.
Artif. Intell., 2011

Inference in Probabilistic Logic Programs using Weighted CNF's.
Proceedings of the UAI 2011, 2011

Learning the Parameters of Probabilistic Logic Programs from Interpretations.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Evaluating Pattern Set Mining Strategies in a Constraint Programming Framework.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Towards Programming Languages for Machine Learning and Data Mining (Extended Abstract).
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

Kernel-Based Logical and Relational Learning with kLog for Hedge Cue Detection.
Proceedings of the Inductive Logic Programming - 21st International Conference, 2011

Relational Learning for Spatial Relation Extraction from Natural Language.
Proceedings of the Inductive Logic Programming - 21st International Conference, 2011

Lifted Probabilistic Inference by First-Order Knowledge Compilation.
Proceedings of the IJCAI 2011, 2011

Declarative Heuristic Search for Pattern Set Mining.
Proceedings of the Data Mining Workshops (ICDMW), 2011

An Algebraic Prolog for Reasoning about Possible Worlds.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
About Knowledge and Inference in Logical and Relational Learning.
Proceedings of the Advances in Machine Learning II, 2010

Statistical Relational Learning.
Proceedings of the Encyclopedia of Machine Learning, 2010

Multi-Relational Data Mining.
Proceedings of the Encyclopedia of Machine Learning, 2010

Logic of Generality.
Proceedings of the Encyclopedia of Machine Learning, 2010

Inductive Logic Programming.
Proceedings of the Encyclopedia of Machine Learning, 2010

Mining Predictive k-CNF Expressions.
IEEE Trans. Knowl. Data Eng., 2010

Fast learning of relational kernels.
Machine Learning, 2010

On the Implementation of the Probabilistic Logic Programming Language ProbLog
CoRR, 2010

Probabilistic Rule Learning.
Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

Extending ProbLog with Continuous Distributions.
Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

Not Far Away from Home: A Relational Distance-Based Approach to Understanding Images of Houses.
Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

ProbLog Technology for Inference in a Probabilistic First Order Logic.
Proceedings of the ECAI 2010, 2010

Constraint Programming for Data Mining and Machine Learning.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

DTProbLog: A Decision-Theoretic Probabilistic Prolog.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Probabilistic Inductive Querying Using ProbLog.
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

A Theory of Inductive Query Answering.
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

2009
Deriving distance metrics from generality relations.
Pattern Recognition Letters, 2009

Cluster-grouping: from subgroup discovery to clustering.
Machine Learning, 2009

Grammar Mining.
Proceedings of the SIAM International Conference on Data Mining, 2009

Correlated itemset mining in ROC space: a constraint programming approach.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Towards Clausal Discovery for Stream Mining.
Proceedings of the Inductive Logic Programming, 19th International Conference, 2009

Local Query Mining in a Probabilistic Prolog.
Proceedings of the IJCAI 2009, 2009

Probabilistic Logic Learning - A Tutorial Abstract.
Proceedings of the Logic Programming, 25th International Conference, 2009

The Logic of Learning.
Proceedings of the Formal Concept Analysis, 7th International Conference, 2009

Constraint Programming for Data Mining.
Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

A query language for analyzing networks.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Compressing probabilistic Prolog programs.
Machine Learning, 2008

Relational Transformation-based Tagging for Activity Recognition.
Fundam. Inform., 2008

An experimental evaluation of simplicity in rule learning.
Artif. Intell., 2008

Logic, Probability and Learning, or an Introduction to Statistical Relational Learning.
Proceedings of the Advances in Artificial Intelligence, 2008

Logical and Relational Learning.
Proceedings of the Advances in Artificial Intelligence, 2008

A Simple Model for Sequences of Relational State Descriptions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Parameter Learning in Probabilistic Databases: A Least Squares Approach.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Constraint programming for itemset mining.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Probabilistic Inductive Logic Programming.
Proceedings of the Probabilistic Inductive Logic Programming - Theory and Applications, 2008

Relational Sequence Learning.
Proceedings of the Probabilistic Inductive Logic Programming - Theory and Applications, 2008

Basic Principles of Learning Bayesian Logic Programs.
Proceedings of the Probabilistic Inductive Logic Programming - Theory and Applications, 2008

On the Efficient Execution of ProbLog Programs.
Proceedings of the Logic Programming, 24th International Conference, 2008

Active Learning for High Throughput Screening.
Proceedings of the Discovery Science, 11th International Conference, 2008

08041 Abstracts Collection -- Recurrent Neural Networks - Models, Capacities, and Applications.
Proceedings of the Recurrent Neural Networks - Models, Capacities, and Applications, 20.01., 2008

08041 Summary -- Recurrent Neural Networks - Models, Capacities, and Applications.
Proceedings of the Recurrent Neural Networks - Models, Capacities, and Applications, 20.01., 2008

Logical and relational learning.
Cognitive Technologies, Springer, ISBN: 978-3-540-20040-6, 2008

2007
Mining Structure-Activity Relations in Biological Neural Networks using NeuronRank.
Proceedings of the Perspectives of Neural-Symbolic Integration, 2007

Integrating Naïve Bayes and FOIL.
Journal of Machine Learning Research, 2007

Ranking neurons for mining structure-activity relations in biological neural networks: NeuronRank.
Neurocomputing, 2007

Constraint-Based Pattern Set Mining.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

ProbLog and its Application to Link Mining in Biological Networks.
Proceedings of the Mining and Learning with Graphs, 2007

Predicting Spike Activity in Neuronal Cultures.
Proceedings of the International Joint Conference on Neural Networks, 2007

ProbLog: A Probabilistic Prolog and Its Application in Link Discovery.
Proceedings of the IJCAI 2007, 2007

Statistical Relational Learning - A Logical Approach (Abstract of Invited Talk).
Proceedings of the 3rd International Workshop on Neural-Symbolic Learning and Reasoning, 2007

r-grams: Relational Grams.
Proceedings of the IJCAI 2007, 2007

On Mining Closed Sets in Multi-Relational Data.
Proceedings of the IJCAI 2007, 2007

Probabilistic Explanation Based Learning.
Proceedings of the Machine Learning: ECML 2007, 2007

07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis.
Proceedings of the Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04., 2007

2006
A Bottom-up approach to Grid-Computing at a University: the Black-Forest-Grid Initiative.
Praxis der Informationsverarbeitung und Kommunikation, 2006

Learning Relational Navigation Policies.
KI, 2006

Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting.
Journal of Machine Learning Research, 2006

SMIREP: Predicting Chemical Activity from SMILES.
Journal of Chemical Information and Modeling, 2006

Logical Hidden Markov Models.
J. Artif. Intell. Res., 2006

Don't Be Afraid of Simpler Patterns.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

IQL: A Proposal for an Inductive Query Language.
Proceedings of the Knowledge Discovery in Inductive Databases, 5th International Workshop, 2006

Mining Bi-sets in Numerical Data.
Proceedings of the Knowledge Discovery in Inductive Databases, 5th International Workshop, 2006

Learning Relational Navigation Policies.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Revising Probabilistic Prolog Programs.
Proceedings of the Inductive Logic Programming, 16th International Conference, 2006

Frequent Hypergraph Mining.
Proceedings of the Inductive Logic Programming, 16th International Conference, 2006

kFOIL: Learning Simple Relational Kernels.
Proceedings of the Proceedings, 2006

2005
Advances in Mining Graphs, Trees and Sequences.
Fundam. Inform., 2005

Statistical Relational Learning: An Inductive Logic Programming Perspective.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

CLASSIC'CL: An Integrated ILP System.
Proceedings of the Discovery Science, 8th International Conference, 2005

05051 Abstracts Collection - Probabilistic, Logical and Relational Learning - Towards a Synthesis.
Proceedings of the Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January, 2005

05051 Executive Summary - Probabilistic, Logical and Relational Learning - Towards a Synthesis.
Proceedings of the Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January, 2005

Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting.
Proceedings of the Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January, 2005

Towards Learning Stochastic Logic Programs from Proof-Banks.
Proceedings of the Proceedings, 2005

nFOIL: Integrating Naïve Bayes and FOIL.
Proceedings of the Proceedings, 2005

2004
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

Towards Optimizing Conjunctive Inductive Queries.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Condensed Representations for Inductive Logic Programming.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Ninth International Conference (KR2004), 2004

An Efficient Algorithm for Mining String Databases Under Constraints.
Proceedings of the KDID 2004, 2004

Logical Markov Decision Programs and the Convergence of Logical TD(lambda).
Proceedings of the Inductive Logic Programming, 14th International Conference, 2004

Bellman goes relational.
Proceedings of the Machine Learning, 2004

Cluster-Grouping: From Subgroup Discovery to Clustering.
Proceedings of the Machine Learning: ECML 2004, 2004

CorClass: Correlated Association Rule Mining for Classification.
Proceedings of the Discovery Science, 7th International Conference, 2004

Predictive Graph Mining.
Proceedings of the Discovery Science, 7th International Conference, 2004

Inductive Querying for Discovering Subgroups and Clusters.
Proceedings of the Constraint-Based Mining and Inductive Databases, 2004

Towards Query Evaluation in Inductive Databases Using Version Spaces.
Proceedings of the Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries, 2004

Constraint Based Mining of First Order Sequences in SeqLog.
Proceedings of the Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries, 2004

Probabilistic Inductive Logic Programming.
Proceedings of the Algorithmic Learning Theory, 15th International Conference, 2004

2003
Probabilistic logic learning.
SIGKDD Explorations, 2003

Multirelational data mining 2003: workshop report.
SIGKDD Explorations, 2003

Multi-relational data mining: the current frontiers.
SIGKDD Explorations, 2003

Towards Discovering Structural Signatures of Protein Folds Based on Logical Hidden Markov Models.
Proceedings of the 8th Pacific Symposium on Biocomputing, 2003

An Algebra for Inductive Query Evaluation.
Proceedings of the Second International Workshop on Inductive Databases, 2003

Towards Optimizing Conjunctive Inductive Queries.
Proceedings of the Second International Workshop on Inductive Databases, 2003

An Algebra for Inductive Query Evaluation.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002
A Perspective on Inductive Databases.
SIGKDD Explorations, 2002

Multi-Relational Data Mining: a Workshop Report.
SIGKDD Explorations, 2002

Logical Hidden Markov Models (Extendes abstract).
Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002

Constraint Based Mining of First Order Sequences in SeqLog.
Proceedings of the First International Workshop on Inductive Databases, 2002

A Theory of Inductive Query Answering.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Phase Transitions and Stochastic Local Search in k-Term DNF Learning.
Proceedings of the Machine Learning: ECML 2002, 2002

Data Mining as Constraint Logic Programming.
Proceedings of the Computational Logic: Logic Programming and Beyond, 2002

2001
Relational Reinforcement Learning.
Machine Learning, 2001

Bayesian Logic Programs
CoRR, 2001

Molecular feature mining in HIV data.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Towards Combining Inductive Logic Programming with Bayesian Networks.
Proceedings of the Inductive Logic Programming, 11th International Conference, 2001

Adaptive Bayesian Logic Programs.
Proceedings of the Inductive Logic Programming, 11th International Conference, 2001

The Levelwise Version Space Algorithm and its Application to Molecular Fragment Finding.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

Feature Construction with Version Spaces for Biochemical Applications.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

How to Upgrade Propositional Learners to First Order Logic: A Case Study.
Proceedings of the Machine Learning and Its Applications, Advanced Lectures, 2001

2000
Scaling Up Inductive Logic Programming by Learning from Interpretations
CoRR, 2000

Top-down induction of clustering trees
CoRR, 2000

Benelearn: The First 10 Years.
AI Commun., 2000

AI Research in the Benelux - Guest Editorial.
AI Commun., 2000

A Logical Database Mining Query Language.
Proceedings of the Inductive Logic Programming, 10th International Conference, 2000

Bayesian Logic Programs.
Proceedings of the Inductive Logic Programming, 10th International Conference, 2000

1999
Scaling Up Inductive Logic Programming by Learning from Interpretations.
Data Min. Knowl. Discov., 1999

Relational Learning and Inductive Logic Programming Made Easy Abstract of Tutorial.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

Database Mining and Inductive Logic Programming.
Proceedings of the JFPLC'99, 1999

Instance Based Function Learning.
Proceedings of the Inductive Logic Programming, 9th International Workshop, 1999

Generalizing Refinement Operators to Learn Prenex Conjunctive Normal Forms.
Proceedings of the Inductive Logic Programming, 9th International Workshop, 1999

1998
Top-Down Induction of First-Order Logical Decision Trees.
Artif. Intell., 1998

Isidd: An Interactive System for Inductive Database Design.
Applied Artificial Intelligence, 1998

Inductive Verification and Validation of the KULRoT RoboCup Team.
Proceedings of the RoboCup-98: Robot Soccer World Cup II, 1998

Attribute-Value Learning Versus Inductive Logic Programming: The Missing Links (Extended Abstract).
Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998

Using ILP-Systems for Verification and Validation of Multi-agent Systems.
Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998

Relational Reinforcement Learning.
Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998

Relational Reinforcement Learning.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Top-Down Induction of Clustering Trees.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

An Inductive Logic Programming Query Language for Database Mining.
Proceedings of the Artificial Intelligence and Symbolic Computation, 1998

1997
Clausal Discovery.
Machine Learning, 1997

Artificial Intelligence in Belgium and the BeNeLux: Past and Future.
AI Commun., 1997

Logical Settings for Concept-Learning.
Artif. Intell., 1997

On Multi-class Problems and Discretization in Inductive Logic Programming.
Proceedings of the Foundations of Intelligent Systems, 10th International Symposium, 1997

Using Logical Decision Trees for Clustering.
Proceedings of the Inductive Logic Programming, 7th International Workshop, 1997

Mining Association Rules in Multiple Relations.
Proceedings of the Inductive Logic Programming, 7th International Workshop, 1997

Lookahead and Discretization in ILP.
Proceedings of the Inductive Logic Programming, 7th International Workshop, 1997

Machine Learning for Verification and Validation.
Proceedings of the Fourth European Symposium on the Validation and Verification of Knowledge-Based Systems, 1997

Theta-Subsumption for Structural Matching.
Proceedings of the Machine Learning: ECML-97, 1997

1996
Multiple Predicate Learning in Two Inductive Logic Programming Settings.
Logic Journal of the IGPL, 1996

PAC-Learning Logic Programs under the Closed-World Assumption.
Proceedings of the Foundations of Intelligent Systems, 9th International Symposium, 1996

DLAB: A Declarative Language Bias Formalism.
Proceedings of the Foundations of Intelligent Systems, 9th International Symposium, 1996

Inductive Database Design.
Proceedings of the Foundations of Intelligent Systems, 9th International Symposium, 1996

Relational Knowledge Discovery in Databases.
Proceedings of the Inductive Logic Programming, 6th International Workshop, 1996

Analysis and Prediction of Piano Performances Using Inductive Logic Programming.
Proceedings of the Inductive Logic Programming, 6th International Workshop, 1996

1995
Declarative Bias for Specific-to-General ILP Systems.
Machine Learning, 1995

Inductive Logic Programming: A Survey of European Research.
AI Commun., 1995

Forgetting and Compacting data in Concept Learning.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

Inductive Constraint Logic.
Proceedings of the Algorithmic Learning Theory, 6th International Conference, 1995

1994
Inductive Logic Programming: Theory and Methods.
J. Log. Program., 1994

Iterative Versionspaces.
Artif. Intell., 1994

First-Order jk-Clausal Theories are PAC-Learnable.
Artif. Intell., 1994

Applications of a Logical Discovery Engine.
Proceedings of the Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop, 1994

RUTH: an ILP Theory Revision System.
Proceedings of the Methodologies for Intelligent Systems, 8th International Symposium, 1994

1993
A Brief Introduction to Inductive Logic Programming.
Proceedings of the Logic Programming, 1993

The Many Faces of Inductive Logic Programming.
Proceedings of the Methodologies for Intelligent Systems, 7th International Symposium, 1993

Multiple Predicate Learning.
Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

A Theory of Clausal Discovery.
Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

1992
Interactive Concept-Learning and Constructive Induction by Analogy.
Machine Learning, 1992

A unifying framework for concept-learning algorithms.
Knowledge Eng. Review, 1992

Acquiring object-knowledge.
J. Exp. Theor. Artif. Intell., 1992

Belief Updating from Integrity Constraints and Queries.
Artif. Intell., 1992

Inverse Resolution in an Integrated Inductive-Deductive Learning System.
ECAI, 1992

1991
Integrity Constraints and Interactive Concept-Learning.
Proceedings of the Eighth International Workshop (ML91), 1991

Acquiring Object-Knowledge for Learning Systems.
Proceedings of the Machine Learning, 1991

Panel: Logic and Learnability.
Proceedings of the Machine Learning, 1991

1990
On Negation and Three-Valued Logic in Interactive Concept-Learning.
ECAI, 1990

1989
Towards Friendly Concept-Learners.
Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

Explanation Based Program Transformation.
Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

Constructive Induction by Analogy.
Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

Generalizing Multiple Examples in Explanation Based Learning.
Proceedings of the Analogical and Inductive Inference, 1989

1988
On Interactive Concept-Learning and Assimilation.
Proceedings of the Third European Working Session on Learning, 1988


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