Hendrik Blockeel

Slower Can Be Faster: The iRetis Incremental Model Tree Learner.

[BibT_eX]

[DOI]

Denny Verbeeck

Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

A First-Order-Logic Based Model for Grounded Language Learning.

[BibT_eX]

[DOI]

Leonor Becerra-Bonache

María Galván

François Jacquenet

Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

2014

Look before you leap: Some insights into learner evaluation with cross-validation.

[BibT_eX]

[DOI]

Gitte Vanwinckelen

Proceedings of the 1st ECML/PKDD Workshop on Statistically Sound Data Mining, 2014

2013

Statistical Relational Learning.

[BibT_eX]

[DOI]

Proceedings of the Handbook on Neural Information Processing, 2013

Guest editor's introduction: special issue of the ECML PKDD 2013 journal track.

[BibT_eX]

[DOI]

Mach. Learn., 2013

On the inference of non-confluent NLC graph grammars.

[BibT_eX]

[DOI]

Robert Brijder

J. Log. Comput., 2013

Lifted Variable Elimination: Decoupling the Operators from the Constraint Language.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2013

Causality-based cost-effective action mining.

[BibT_eX]

[DOI]

Pirooz Shamsinejadbabaki

Mohamad Saraee

Intell. Data Anal., 2013

Predicate Logic as a Modeling Language: Modeling and Solving some Machine Learning and Data Mining Problems with IDP3.

[BibT_eX]

[DOI]

CoRR, 2013

SCCQL : A Constraint-Based Clustering System.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

First-order Decomposition Trees.

[BibT_eX]

[DOI]

Nima Taghipour

Jesse Davis

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Generalized Counting for Lifted Variable Elimination.

[BibT_eX]

[DOI]

Nima Taghipour

Jesse Davis

Proceedings of the Inductive Logic Programming - 23rd International Conference, 2013

Estimating Prediction Certainty in Decision Trees.

[BibT_eX]

[DOI]

Eduardo P. Costa

Sicco Verwer

Proceedings of the Advances in Intelligent Data Analysis XII, 2013

Semi-supervised Clustering with Example Clusters.

[BibT_eX]

[DOI]

Bart Verstrynge

Proceedings of the KDIR/KMIS 2013 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing, Vilamoura, Algarve, Portugal, 19, 2013

Multi-objective optimization with surrogate trees.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Generalizing from Example Clusters.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 16th International Conference, 2013

Completeness Results for Lifted Variable Elimination.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

On the Completeness of Lifted Variable Elimination.

[BibT_eX]

[DOI]

Proceedings of the Statistical Relational Artificial Intelligence, 2013

2012

Experiment databases - A new way to share, organize and learn from experiments.

[BibT_eX]

[DOI]

Mach. Learn., 2012

Lifted Variable Elimination with Arbitrary Constraints.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Predicting Genes Involved in Human Cancer Using Network Contextual Information.

[BibT_eX]

[DOI]

Andreas Bender

J. Integr. Bioinform., 2012

Outlier detection in relational data: A case study in geographical information systems.

[BibT_eX]

[DOI]

Patrick De Causmaecker

Expert Syst. Appl., 2012

An inductive database system based on virtual mining views.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2012

Lifted Variable Elimination: A Novel Operator and Completeness Results

[BibT_eX]

[DOI]

CoRR, 2012

A Revised Publication Model for ECML PKDD

[BibT_eX]

[DOI]

CoRR, 2012

Modeling Machine Learning and Data Mining Problems with FO(·).

[BibT_eX]

[DOI]

Proceedings of the Technical Communications of the 28th International Conference on Logic Programming, 2012

2011

Neural networks for relational learning: an experimental comparison.

[BibT_eX]

[DOI]

Mach. Learn., 2011

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

[BibT_eX]

[DOI]

Mach. Learn., 2011

Characterizing Compressibility of Disjoint Subgraphs with NLC Grammars.

[BibT_eX]

[DOI]

Robert Brijder

Proceedings of the Language and Automata Theory and Applications, 2011

Improving the Accuracy of Similarity Measures by Using Link Information.

[BibT_eX]

[DOI]

Tijn Witsenburg

Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

K-Means Based Approaches to Clustering Nodes in Annotated Graphs.

[BibT_eX]

[DOI]

Tijn Witsenburg

Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

Predictive Learning in Two-Way Datasets.

[BibT_eX]

[DOI]

Proceedings of the Latest Advances in Inductive Logic Programming, 2011

Ranking commercial machines through data transposition.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE International Symposium on Workload Characterization, 2011

Collaboration-Based Function Prediction in Protein-Protein Interaction Networks.

[BibT_eX]

[DOI]

Andreas Bender

Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

2010

Relational Learning.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning, 2010

Multi-Instance Learning.

[BibT_eX]

[DOI]

Soumya Ray

Stephen Scott

Proceedings of the Encyclopedia of Machine Learning, 2010

Observation Language.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning, 2010

Hypothesis Space.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning, 2010

Hypothesis Language.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning, 2010

Bias Specification Language.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning, 2010

A comparison of pruning criteria for probability trees.

[BibT_eX]

[DOI]

Mach. Learn., 2010

Prediction of Clinical Conditions after Coronary Bypass Surgery using Dynamic Data Analysis.

[BibT_eX]

[DOI]

J. Medical Syst., 2010

Predicting the functions of proteins in Protein-Protein Interaction networks from global information.

[BibT_eX]

[DOI]

Andreas Bender

Proceedings of the third International Workshop on Machine Learning in Systems Biology, 2010

Predicting gene function using hierarchical multi-label decision tree ensembles.

[BibT_eX]

[DOI]

BMC Bioinform., 2010

Alleviating the Sparsity Problem in Collaborative Filtering by Using an Adapted Distance and a Graph-Based Method.

[BibT_eX]

[DOI]

Beau Piccart

Proceedings of the SIAM International Conference on Data Mining, 2010

Collaboration-based Social Tag Prediction in the Graph of Annotated Web Pages.

[BibT_eX]

[DOI]

Behrooz Nobakht

Proceedings of the 1st Workshop on Dynamic Networks and Knowledge Discovery, 2010

First-Order Bayes-Ball.

[BibT_eX]

[DOI]

Nima Taghipour

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

InfraWatch: Data Management of Large Systems for Monitoring Infrastructural Performance.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis IX, 9th International Symposium, 2010

Top-Down Induction of Phylogenetic Trees.

[BibT_eX]

[DOI]

Eduardo P. Costa

Proceedings of the Evolutionary Computation, 2010

Predicting Gene Function using Predictive Clustering Trees.

[BibT_eX]

[DOI]

Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

Experiment Databases.

[BibT_eX]

[DOI]

Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

Inductive Querying with Virtual Mining Views.

[BibT_eX]

[DOI]

Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

A Practical Comparative Study Of Data Mining Query Languages.

[BibT_eX]

[DOI]

Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

2009

Non-Confluent NLC Graph Grammar Inference by Compressing Disjoint Subgraphs.

[BibT_eX]

[DOI]

Robert Brijder

CoRR, 2009

A Community-Based Platform for Machine Learning Experimentation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Dynamic Data Analysis and Data Mining for Prediction of Clinical Stability.

[BibT_eX]

[DOI]

Proceedings of the Medical Informatics in a United and Healthy Europe - Proceedings of MIE 2009, The XXIInd International Congress of the European Federation for Medical Informatics, Sarajevo, Bosnia and Herzegovina, August 30, 2009

CP-Logic Theory Inference with Contextual Variable Elimination and Comparison to BDD Based Inference Methods.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 19th International Conference, 2009

2008

Decision trees for hierarchical multi-label classification.

[BibT_eX]

[DOI]

Mach. Learn., 2008

Generalized ordering-search for learning directed probabilistic logical models.

[BibT_eX]

[DOI]

Mach. Learn., 2008

Guest editors' introduction: special issue on inductive logic programming (ILP-2007).

[BibT_eX]

[DOI]

Jude W. Shavlik

Prasad Tadepalli

Mach. Learn., 2008

Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2008

Learning directed probabilistic logical models: ordering-search versus structure-search.

[BibT_eX]

[DOI]

Ann. Math. Artif. Intell., 2008

Exposing the Causal Structure of Processes by Learning CP-Logic Programs.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

An inductive database prototype based on virtual mining views.

[BibT_eX]

[DOI]

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Organizing the World's Machine Learning Information.

[BibT_eX]

[DOI]

Proceedings of the Leveraging Applications of Formal Methods, 2008

Learning Aggregate Functions with Neural Networks Using a Cascade-Correlation Approach.

[BibT_eX]

[DOI]

Werner Uwents

Proceedings of the Inductive Logic Programming, 18th International Conference, 2008

Mining Views: Database Views for Data Mining.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Data Engineering, 2008

A Comparison between Neural Network Methods for Learning Aggregate Functions.

[BibT_eX]

[DOI]

Werner Uwents

Proceedings of the Discovery Science, 11th International Conference, 2008

An Efficiently Computable Graph-Based Metric for the Classification of Small Molecules.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science, 11th International Conference, 2008

Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees.

[BibT_eX]

[DOI]

Beau Piccart

Proceedings of the Discovery Science, 11th International Conference, 2008

2007

Mining data from intensive care patients.

[BibT_eX]

[DOI]

Adv. Eng. Informatics, 2007

Analyzing commercial processor performance numbers for predicting performance of applications of interest.

[BibT_eX]

[DOI]

Kenneth Hoste

Lieven Eeckhout

Proceedings of the 2007 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2007

Experiment Databases: Towards an Improved Experimental Methodology in Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Graphs, Hypergraphs, and Inductive Logic Programming.

[BibT_eX]

[DOI]

Tijn Witsenburg

Joost N. Kok

Proceedings of the Mining and Learning with Graphs, 2007

Learning Directed Probabilistic Logical Models Using Ordering-Search.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 17th International Conference, 2007

Seeing the Forest Through the Trees.

[BibT_eX]

[DOI]

Anneleen Van Assche

Proceedings of the Inductive Logic Programming, 17th International Conference, 2007

Online Learning and Exploiting Relational Models in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2007, 2007

Investigating Classifier Learning Behavior with Experiment Databases.

[BibT_eX]

[DOI]

Proceedings of the Data Analysis, Machine Learning and Applications, 2007

Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble.

[BibT_eX]

[DOI]

Anneleen Van Assche

Proceedings of the Machine Learning: ECML 2007, 2007

2006

Introduction to the special issue on multi-relational data mining and statistical relational learning.

[BibT_eX]

[DOI]

David D. Jensen

Stefan Kramer

Mach. Learn., 2006

First order random forests: Learning relational classifiers with complex aggregates.

[BibT_eX]

[DOI]

Mach. Learn., 2006

A simple regression based heuristic for learning model trees.

[BibT_eX]

[DOI]

Intell. Data Anal., 2006

Information extraction from structured documents using <i>k</i>-testable tree automaton inference.

[BibT_eX]

[DOI]

Data Knowl. Eng., 2006

Refining Aggregate Conditions in Relational Learning.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Integrating Decision Tree Learning into Inductive Databases.

[BibT_eX]

[DOI]

Élisa Fromont

Proceedings of the Knowledge Discovery in Inductive Databases, 5th International Workshop, 2006

ReMauve: A Relational Model Tree Learner.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 16th International Conference, 2006

Towards Learning Non-recursive LPADs by Transforming Them into Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 16th International Conference, 2006

Bagging Using Statistical Queries.

[BibT_eX]

[DOI]

Anneleen Van Assche

Proceedings of the Machine Learning: ECML 2006, 2006

2005

Multi-Relational Data Mining 2005: workshop report.

[BibT_eX]

[DOI]

SIGKDD Explor., 2005

Experiment Databases: A Novel Methodology for Experimental Research.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery in Inductive Databases, 4th International Workshop, 2005

Classifying Relational Data with Neural Networks.

[BibT_eX]

[DOI]

Werner Uwents

Proceedings of the Inductive Logic Programming, 15th International Conference, 2005

Multi-instance tree learning.

[BibT_eX]

[DOI]

David Page

Ashwin Srinivasan

Proceedings of the Machine Learning, 2005

Hierarchical Multi-classification with Predictive Clustering Trees in Functional Genomics.

[BibT_eX]

[DOI]

Proceedings of the Progress in Artificial Intelligence, 2005

A Comparison of Approaches for Learning Probability Trees.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2005, 2005

Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models.

[BibT_eX]

Proceedings of the BNAIC 2005, 2005

2004

Multi-relational data mining 2004: workshop report.

[BibT_eX]

[DOI]

SIGKDD Explor., 2004

Compact Representation of Knowledge Bases in Inductive Logic Programming.

[BibT_eX]

[DOI]

Mach. Learn., 2004

Experiments In Predicting Biodegradability.

[BibT_eX]

[DOI]

Appl. Artif. Intell., 2004

First Order Random Forests with Complex Aggregates.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 14th International Conference, 2004

2003

Scalability and efficiency in multi-relational data mining.

[BibT_eX]

[DOI]

Michèle Sebag

SIGKDD Explor., 2003

Query Transformations for Improving the Efficiency of ILP Systems.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2003

Query Optimization in Inductive Logic Programming by Reordering Literals.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming: 13th International Conference, 2003

Information Extraction from Web Documents Based on Local Unranked Tree Automaton Inference.

[BibT_eX]

[DOI]

Proceedings of the IJCAI-03, 2003

User Modeling with Sequential Data.

[BibT_eX]

Nico Jacobs

Proceedings of the Human-Computer Interaction: Universal Access in HCI: Inclusive Design in the Information Society, 2003

2002

Efficient Algorithms for Decision Tree Cross-validation.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2002

Improving the Efficiency of Inductive Logic Programming Through the Use of Query Packs.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2002

Deriving biased classifiers for better ROC performance.

[BibT_eX]

Informatica (Slovenia), 2002

Information Extraction in Structured Documents Using Tree Automata Induction.

[BibT_eX]

[DOI]

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

Compact Representation of Knowledge Bases in ILP.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 12th International Conference, 2002

Ranking with Predictive Clustering Trees.

[BibT_eX]

[DOI]

Ljupco Todorovski

Proceedings of the Machine Learning: ECML 2002, 2002

2001

The Learning Shell: Automated Macro Construction.

[BibT_eX]

[DOI]

Nico Jacobs

Proceedings of the User Modeling 2001, 8th International Conference, 2001

Detecting Temporal Change in Event Sequences: An Application to Demographic Data.

[BibT_eX]

[DOI]

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001

Efficient Cross-Validation in ILP.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 11th International Conference, 2001

From Shell Logs to Shell Scripts.

[BibT_eX]

[DOI]

Nico Jacobs

Proceedings of the Inductive Logic Programming, 11th International Conference, 2001

Speeding Up Relational Reinforcement Learning through the Use of an Incremental First Order Decision Tree Learner.

[BibT_eX]

[DOI]

Kurt Driessens

Proceedings of the Machine Learning: EMCL 2001, 2001

2000

Web Mining Research: A Survey.

[BibT_eX]

[DOI]

Raymond Kosala

SIGKDD Explor., 2000

Multi-Relational Data Mining, Using UML for ILP.

[BibT_eX]

[DOI]

Arno J. Knobbe

Arno Siebes

Danïel van der Wallen

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Two Advanced Transormations for Improving the Efficiency of an ILP system.

[BibT_eX]

[DOI]

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

Executing Query Packs in ILP.

[BibT_eX]

[DOI]

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

Learning a Go Heuristic with TILDE.

[BibT_eX]

[DOI]

Tom Francis

Proceedings of the Computers and Games, Second International Conference, 2000

1999

Scaling Up Inductive Logic Programming by Learning from Interpretations.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 1999

Top-Down Induction of First Order Logical Decision Trees.

[BibT_eX]

[DOI]

AI Commun., 1999

Relational Learning and Inductive Logic Programming Made Easy Abstract of Tutorial.

[BibT_eX]

[DOI]

Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

Simultaneous Prediction of Mulriple Chemical Parameters of River Water Quality with TILDE.

[BibT_eX]

[DOI]

Jasna Grbovic

Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

1998

Top-Down Induction of First-Order Logical Decision Trees.

[BibT_eX]

[DOI]

Artif. Intell., 1998

Diterpene Structure Elucidation from 13CNMR Spectra with Inductive Logic Programming.

[BibT_eX]

[DOI]

Steffen Schulze-Kremer

Karsten R. Heidtke

Karsten Siems

Dietrich Wettschereck

Appl. Artif. Intell., 1998

Isidd: An Interactive System for Inductive Database Design.

[BibT_eX]

[DOI]

Appl. Artif. Intell., 1998

Relational Reinforcement Learning.

[BibT_eX]

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

Top-Down Induction of Clustering Trees.

[BibT_eX]

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

1997

Using Logical Decision Trees for Clustering.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 7th International Workshop, 1997

Lookahead and Discretization in ILP.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 7th International Workshop, 1997

1996

Inductive Database Design.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems, 9th International Symposium, 1996

Relational Knowledge Discovery in Databases.

[BibT_eX]

[DOI]