Luc De Raedt

CoRR, 2019

Semantic and geometric reasoning for robotic grasping: a probabilistic logic approach.

[BibT_eX]

[DOI]

Rui Pimentel de Figueiredo

Plinio Moreno

Marion Neumann

José Santos-Victor

Auton. Robots, 2019

How to Exploit Structure while Solving Weighted Model Integration Problems.

[BibT_eX]

[DOI]

Samuel Kolb

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

SynthLog: A Language for Synthesising Inductive Data Models (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Neuro-Symbolic = Neural + Logical + Probabilistic.

[BibT_eX]

Proceedings of the 2019 International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2019), 2019

Acquiring Integer Programs from Data.

[BibT_eX]

[DOI]

Mohit Kumar

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration.

[BibT_eX]

[DOI]

Samuel Kolb

Paolo Morettin

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Automating Personnel Rostering by Learning Constraints Using Tensors.

[BibT_eX]

[DOI]

Mohit Kumar

Patrick De Causmaecker

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

DeepProbLog: Neural Probabilistic Logic Programming.

[BibT_eX]

[DOI]

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Scalable Rule Learning in Probabilistic Knowledge Bases.

[BibT_eX]

[DOI]

Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019

Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Automating Data Science (Dagstuhl Seminar 18401).

[BibT_eX]

[DOI]

Dagstuhl Reports, 2018

Knowledge Compilation with Continuous Random Variables and its Application in Hybrid Probabilistic Logic Programming.

[BibT_eX]

[DOI]

CoRR, 2018

Automating Personnel Rostering by Learning Constraints Using Tensors.

[BibT_eX]

[DOI]

Mohit Kumar

CoRR, 2018

Relational affordances for multiple-object manipulation.

[BibT_eX]

[DOI]

Auton. Robots, 2018

Learning SMT(LRA) Constraints using SMT Solvers.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Automatically Wrangling Spreadsheets into Machine Learning Data Formats.

[BibT_eX]

[DOI]

Gust Verbruggen

Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

Elements of an Automatic Data Scientist.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

Sketched Answer Set Programming.

[BibT_eX]

[DOI]

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Learning Constraints From Examples.

[BibT_eX]

[DOI]

Andrea Passerini

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Statistical Relational Learning.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Multi-relational Data Mining.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Logic of Generality.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Inductive Logic Programming.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Semiring Rank Matrix Factorization.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2017

Relational data factorization.

[BibT_eX]

[DOI]

Sergey Paramonov

Matthijs van Leeuwen

Mach. Learn., 2017

kProbLog: an algebraic Prolog for machine learning.

[BibT_eX]

[DOI]

Francesco Orsini

Mach. Learn., 2017

Planning in hybrid relational MDPs.

[BibT_eX]

[DOI]

Mach. Learn., 2017

Learning constraints in spreadsheets and tabular data.

[BibT_eX]

[DOI]

Mach. Learn., 2017

Algebraic model counting.

[BibT_eX]

[DOI]

Guy Van den Broeck

J. Appl. Log., 2017

Editors' Introduction to the Special Issue on "Information and Communication Technology".

[BibT_eX]

[DOI]

Informatica (Slovenia), 2017

The Inductive Constraint Programming Loop.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2017

Flexible constrained sampling with guarantees for pattern mining.

[BibT_eX]

[DOI]

Vladimir Dzyuba

Matthijs van Leeuwen

Data Min. Knowl. Discov., 2017

Context-based object viewpoint estimation: A 2D relational approach.

[BibT_eX]

[DOI]

José Oramas M.

Comput. Vis. Image Underst., 2017

MiningZinc: A declarative framework for constraint-based mining.

[BibT_eX]

[DOI]

Artif. Intell., 2017

Towards Automated Relational Data Wrangling.

[BibT_eX]

[DOI]

Gust Verbruggen

Proceedings of the International Workshop on Automatic Selection, 2017

Relational Affordance Learning for Task-Dependent Robot Grasping.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming - 27th International Conference, 2017

Solving Probability Problems in Natural Language.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Stochastic Constraint Programming with And-Or Branch-and-Bound.

[BibT_eX]

[DOI]

Behrouz Babaki

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

TaCLe: Learning Constraints in Tabular Data.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Statistical Relational Artificial Intelligence: Logic, Probability, and Computation

[BibT_eX]

[DOI]

Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01574-8, 2016

Learning Constraint Satisfaction Problems: An ILP Perspective.

[BibT_eX]

[DOI]

Proceedings of the Data Mining and Constraint Programming, 2016

Modeling in MiningZinc.

[BibT_eX]

[DOI]

Proceedings of the Data Mining and Constraint Programming, 2016

The Inductive Constraint Programming Loop.

[BibT_eX]

[DOI]

Proceedings of the Data Mining and Constraint Programming, 2016

Probabilistic logic programming for hybrid relational domains.

[BibT_eX]

[DOI]

Mach. Learn., 2016

Introduction to Special issue on "The Sixth International Symposium on Information and Communication Technology -SoICT 2015.

[BibT_eX]

[DOI]

Informatica (Slovenia), 2016

T<sub>P</sub>-Compilation for inference in probabilistic logic programs.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2016

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

[BibT_eX]

[DOI]

Vaishak Belle

CoRR, 2016

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

[BibT_eX]

[DOI]

Bioinform., 2016

Exploiting local and repeated structure in Dynamic Bayesian Networks.

[BibT_eX]

[DOI]

Artif. Intell., 2016

Qualitative Spatial Reasoning for Soccer Pass Prediction.

[BibT_eX]

[DOI]

Vincent Vercruyssen

Jesse Davis

Proceedings of the Workshop on Machine Learning and Data Mining for Sports Analytics 2016 co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2016

Learning the Structure of Dynamic Hybrid Relational Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Beyond NP, 2016

2015

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

[BibT_eX]

[DOI]

Daan Fierens

Guy Van den Broeck

Joris Renkens

Dimitar Sht. Shterionov

Theory Pract. Log. Program., 2015

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

[BibT_eX]

[DOI]

Theory Pract. Log. Program., 2015

PheNetic: network-based interpretation of molecular profiling data.

[BibT_eX]

[DOI]

Nucleic Acids Res., 2015

Probabilistic (logic) programming concepts.

[BibT_eX]

[DOI]

Mach. Learn., 2015

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

[BibT_eX]

[DOI]

Björn Bringmann

CoRR, 2015

Lazy Explanation-Based Approximation for Probabilistic Logic Programming.

[BibT_eX]

[DOI]

Joris Renkens

CoRR, 2015

Planning in Discrete and Continuous Markov Decision Processes by Probabilistic Programming.

[BibT_eX]

[DOI]

Vaishak Belle

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

ProbLog2: Probabilistic Logic Programming.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Rank Matrix Factorisation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

An Exercise in Declarative Modeling for Relational Query Mining.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming - 25th International Conference, 2015

kProbLog: An Algebraic Prolog for Kernel Programming.

[BibT_eX]

[DOI]

Francesco Orsini

Proceedings of the Inductive Logic Programming - 25th International Conference, 2015

Relational Kernel-Based Grasping with Numerical Features.

[BibT_eX]

[DOI]

Plinio Moreno

Proceedings of the Inductive Logic Programming - 25th International Conference, 2015

Anytime Inference in Probabilistic Logic Programs with Tp-Compilation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Inducing Probabilistic Relational Rules from Probabilistic Examples.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Graph Invariant Kernels.

[BibT_eX]

[DOI]

Francesco Orsini

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

kLog: A Language for Logical and Relational Learning with Kernels (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Constraint-Based Querying for Bayesian Network Exploration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

Neural-Symbolic Learning and Reasoning: Contributions and Challenges.

[BibT_eX]

[DOI]

Artur S. d'Avila Garcez

Proceedings of the 2015 AAAI Spring Symposia, 2015

Languages for Learning and Mining.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Martijn van Otterlo

José Oramas Mogrovejo

Neurocomputing, 2014

Interactive Learning of Pattern Rankings.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Tools, 2014

Constraints, Optimization and Data (Dagstuhl Seminar 14411).

[BibT_eX]

[DOI]

Dagstuhl Reports, 2014

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

[BibT_eX]

[DOI]

Rui Pimentel de Figueiredo

Plinio Moreno

Marion Neumann

José Santos-Victor

CoRR, 2014

Introduction to the Special Issue on the ECAI 2012 Turing and Anniversary Track.

[BibT_eX]

[DOI]

Maria Fox

AI Commun., 2014

kLog: A language for logical and relational learning with kernels.

[BibT_eX]

[DOI]

Artif. Intell., 2014

Towards cautious collective inference for object verification.

[BibT_eX]

[DOI]

José Oramas M.

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.

[BibT_eX]

[DOI]

Proceedings of the VISAPP 2014, 2014

Lazy and Eager Relational Learning Using Graph-Kernels.

[BibT_eX]

[DOI]

Proceedings of the Statistical Language and Speech Processing, 2014

Relational Regularization and Feature Ranking.

[BibT_eX]

[DOI]

Fabrizio Costa

Mathias Verbeke

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Ranked Tiling.

[BibT_eX]

[DOI]

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

Distributional Clauses Particle Filter.

[BibT_eX]

[DOI]

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

Learning relational affordance models for two-arm robots.

[BibT_eX]

[DOI]

Bogdan Moldovan

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

PageRank, ProPPR, and Stochastic Logic Programs.

[BibT_eX]

[DOI]

Dries Van Daele

Proceedings of the Inductive Logic Programming - 24th International Conference, 2014

Relational object tracking and learning.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Occluded object search by relational affordances.

[BibT_eX]

[DOI]

Bogdan Moldovan

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Condition Monitoring with Incomplete Observations.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Efficient Probabilistic Inference for Dynamic Relational Models.

[BibT_eX]

[DOI]

Proceedings of the Statistical Relational Artificial Intelligence, 2014

Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics.

[BibT_eX]

[DOI]

Proceedings of the Statistical Relational Artificial Intelligence, 2014

2013

k-Pattern Set Mining under Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2013

Probabilistic Programming Concepts.

[BibT_eX]

[DOI]

CoRR, 2013

Mining closed patterns in relational, graph and network data.

[BibT_eX]

[DOI]

Gemma C. Garriga

Roni Khardon

Ann. Math. Artif. Intell., 2013

A relational kernel-based approach to scene classification.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

A particle filter for hybrid relational domains.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

MiningZinc: A Modeling Language for Constraint-Based Mining.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

Active Preference Learning for Ranking Patterns.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

The MiningZinc Framework for Constraint-Based Itemset Mining.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Allocentric Pose Estimation.

[BibT_eX]

[DOI]

José Oramas M.

Proceedings of the IEEE International Conference on Computer Vision, 2013

Statistical Relational Learning using ProbLog.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

10 Years of Probabilistic Querying - What Next?

[BibT_eX]

[DOI]

Proceedings of the Advances in Databases and Information Systems, 2013

2012

Patterns and Logic for Reasoning with Networks.

[BibT_eX]

[DOI]

Proceedings of the Bisociative Knowledge Discovery, 2012

BiQL: A Query Language for Analyzing Information Networks.

[BibT_eX]

[DOI]

Proceedings of the Bisociative Knowledge Discovery, 2012

ILP turns 20 - Biography and future challenges.

[BibT_eX]

[DOI]

Mach. Learn., 2012

A Particle Filter for Probabilistic Dynamic Relational Domains.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012

A Relational Kernel-Based Framework for Hierarchical Image Understanding.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

Declarative Modeling for Machine Learning and Data Mining.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Learning relational affordance models for robots in multi-object manipulation tasks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

A Relational Distance-based Framework for Hierarchical Image Understanding.

[BibT_eX]

Proceedings of the ICPRAM 2012, 2012

Mining Local Staircase Patterns in Noisy Data.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

A Statistical Relational Learning Approach to Identifying Evidence Based Medicine Categories.

[BibT_eX]

[DOI]

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011

On the implementation of the probabilistic logic programming language ProbLog.

[BibT_eX]

[DOI]

Theory Pract. Log. Program., 2011

The magic of logical inference in probabilistic programming.

[BibT_eX]

[DOI]

Theory Pract. Log. Program., 2011

Stochastic relational processes: Efficient inference and applications.

[BibT_eX]

[DOI]

Mach. Learn., 2011

Effective feature construction by maximum common subgraph sampling.

[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

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

[BibT_eX]

[DOI]

Barry O'Sullivan

Pascal Van Hentenryck

Dagstuhl Reports, 2011

Itemset mining: A constraint programming perspective.

[BibT_eX]

[DOI]

Artif. Intell., 2011

Inference in Probabilistic Logic Programs using Weighted CNF's.

[BibT_eX]

[DOI]

Proceedings of the UAI 2011, 2011

Learning the Parameters of Probabilistic Logic Programs from Interpretations.

[BibT_eX]

[DOI]

Bernd Gutmann

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Evaluating Pattern Set Mining Strategies in a Constraint Programming Framework.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Towards Programming Languages for Machine Learning and Data Mining (Extended Abstract).

[BibT_eX]

[DOI]

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

Kernel-Based Logical and Relational Learning with kLog for Hedge Cue Detection.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming - 21st International Conference, 2011

Statistical Relational Learning of Object Affordances for Robotic Manipulation.

[BibT_eX]

[DOI]

Proceedings of the Latest Advances in Inductive Logic Programming, 2011

Relational Learning for Spatial Relation Extraction from Natural Language.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming - 21st International Conference, 2011

Lifted Probabilistic Inference by First-Order Knowledge Compilation.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2011, 2011

Declarative Heuristic Search for Pattern Set Mining.

[BibT_eX]

[DOI]

Proceedings of the Data Mining Workshops (ICDMW), 2011

An Algebraic Prolog for Reasoning about Possible Worlds.

[BibT_eX]

[DOI]

Guy Van den Broeck

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

About Knowledge and Inference in Logical and Relational Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Machine Learning II, 2010

Statistical Relational Learning.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning, 2010

Multi-Relational Data Mining.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning, 2010

Logic of Generality.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning, 2010

Inductive Logic Programming.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning, 2010

Mining Predictive k-CNF Expressions.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2010

Fast learning of relational kernels.

[BibT_eX]

[DOI]

Mach. Learn., 2010

Probabilistic Rule Learning.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

Extending ProbLog with Continuous Distributions.

[BibT_eX]

[DOI]

Bernd Gutmann

Manfred Jaeger

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.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

ProbLog Technology for Inference in a Probabilistic First Order Logic.

[BibT_eX]

[DOI]

Theofrastos Mantadelis

Proceedings of the ECAI 2010, 2010

Constraint Programming for Data Mining and Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

DTProbLog: A Decision-Theoretic Probabilistic Prolog.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Probabilistic Inductive Querying Using ProbLog.

[BibT_eX]

[DOI]

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

A Theory of Inductive Query Answering.

[BibT_eX]

[DOI]

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

2009

Deriving distance metrics from generality relations.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2009

Cluster-grouping: from subgroup discovery to clustering.

[BibT_eX]

[DOI]

Mach. Learn., 2009

Grammar Mining.

[BibT_eX]

[DOI]

Proceedings of the SIAM International Conference on Data Mining, 2009

Correlated itemset mining in ROC space: a constraint programming approach.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Local Query Mining in a Probabilistic Prolog.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2009, 2009

Probabilistic Logic Learning - A Tutorial Abstract.

[BibT_eX]

[DOI]

Proceedings of the Logic Programming, 25th International Conference, 2009

The Logic of Learning.

[BibT_eX]

[DOI]

Proceedings of the Formal Concept Analysis, 7th International Conference, 2009

Constraint Programming for Data Mining.

[BibT_eX]

[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

A query language for analyzing networks.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008

Compressing probabilistic Prolog programs.

[BibT_eX]

[DOI]

Mach. Learn., 2008

Relational Transformation-based Tagging for Activity Recognition.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2008

An experimental evaluation of simplicity in rule learning.

[BibT_eX]

[DOI]

Ulrich Rückert

Artif. Intell., 2008

Logic, Probability and Learning, or an Introduction to Statistical Relational Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2008

Logical and Relational Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2008

A Simple Model for Sequences of Relational State Descriptions.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Parameter Learning in Probabilistic Databases: A Least Squares Approach.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Constraint programming for itemset mining.

[BibT_eX]

[DOI]

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

Probabilistic Inductive Logic Programming.

[BibT_eX]

[DOI]

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

Relational Sequence Learning.

[BibT_eX]

[DOI]

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

Basic Principles of Learning Bayesian Logic Programs.

[BibT_eX]

[DOI]

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

On the Efficient Execution of ProbLog Programs.

[BibT_eX]

[DOI]

Proceedings of the Logic Programming, 24th International Conference, 2008

Active Learning for High Throughput Screening.

[BibT_eX]

[DOI]

Kurt De Grave

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

08041 Abstracts Collection -- Recurrent Neural Networks - Models, Capacities, and Applications.

[BibT_eX]

[DOI]

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

08041 Summary -- Recurrent Neural Networks - Models, Capacities, and Applications.

[BibT_eX]

[DOI]

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

Logical and relational learning.

[BibT_eX]

[DOI]

Cognitive Technologies, Springer, ISBN: 978-3-540-20040-6, 2008

2007

Mining Structure-Activity Relations in Biological Neural Networks using NeuronRank.

[BibT_eX]

[DOI]

Tayfun Gürel

Stefan Rotter

Proceedings of the Perspectives of Neural-Symbolic Integration, 2007

Integrating Naïve Bayes and FOIL.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2007

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

[BibT_eX]

[DOI]

Tayfun Gürel

Stefan Rotter

Neurocomputing, 2007

Learning to transfer optimal navigation policies.

[BibT_eX]

[DOI]

Adv. Robotics, 2007

Constraint-Based Pattern Set Mining.

[BibT_eX]

[DOI]

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

ProbLog and its Application to Link Mining in Biological Networks.

[BibT_eX]

[DOI]

Proceedings of the Mining and Learning with Graphs, 2007

Predicting Spike Activity in Neuronal Cultures.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2007

ProbLog: A Probabilistic Prolog and Its Application in Link Discovery.

[BibT_eX]

[DOI]

Hannu Toivonen

Proceedings of the IJCAI 2007, 2007

Statistical Relational Learning - A Logical Approach (Abstract of Invited Talk).

[BibT_eX]

[DOI]

Proceedings of the 3rd International Workshop on Neural-Symbolic Learning and Reasoning, 2007

r-grams: Relational Grams.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2007, 2007

On Mining Closed Sets in Multi-Relational Data.

[BibT_eX]

[DOI]

Gemma C. Garriga

Roni Khardon

Proceedings of the IJCAI 2007, 2007

Probabilistic Explanation Based Learning.

[BibT_eX]

[DOI]

Hannu Toivonen

Proceedings of the Machine Learning: ECML 2007, 2007

07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Prax. Inf.verarb. Kommun., 2006

Learning Relational Navigation Policies.

[BibT_eX]

[DOI]

Künstliche Intell., 2006

Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting.

[BibT_eX]

[DOI]

Andrea Passerini

J. Mach. Learn. Res., 2006

SMIREP: Predicting Chemical Activity from SMILES.

[BibT_eX]

[DOI]

Andreas Karwath

J. Chem. Inf. Model., 2006

Logical Hidden Markov Models.

[BibT_eX]

[DOI]

Tapani Raiko

J. Artif. Intell. Res., 2006

Don't Be Afraid of Simpler Patterns.

[BibT_eX]

[DOI]

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

IQL: A Proposal for an Inductive Query Language.

[BibT_eX]

[DOI]

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

Mining Bi-sets in Numerical Data.

[BibT_eX]

[DOI]

Jérémy Besson

Céline Robardet

Jean-François Boulicaut

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

Revising Probabilistic Prolog Programs.

[BibT_eX]

[DOI]

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

Frequent Hypergraph Mining.

[BibT_eX]

[DOI]

Tamás Horváth

Björn Bringmann

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

kFOIL: Learning Simple Relational Kernels.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2006

2005

Advances in Mining Graphs, Trees and Sequences.

[BibT_eX]

[DOI]

Takashi Washio

Joost N. Kok

Fundam. Informaticae, 2005

Statistical Relational Learning: An Inductive Logic Programming Perspective.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

CLASSIC'CL: An Integrated ILP System.

[BibT_eX]

[DOI]

Christian Stolle

Andreas Karwath

Proceedings of the Discovery Science, 8th International Conference, 2005

05051 Abstracts Collection - Probabilistic, Logical and Relational Learning - Towards a Synthesis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Towards Learning Stochastic Logic Programs from Proof-Banks.

[BibT_eX]

[DOI]

Sunna Torge

Proceedings of the Proceedings, 2005

nFOIL: Integrating Naïve Bayes and FOIL.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2004

Condensed Representations for Inductive Logic Programming.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the KDID 2004, 2004

Logical Markov Decision Programs and the Convergence of Logical TD(lambda).

[BibT_eX]

[DOI]

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

Bellman goes relational.

[BibT_eX]

[DOI]

Martijn van Otterlo

Proceedings of the Machine Learning, 2004

CorClass: Correlated Association Rule Mining for Classification.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science, 7th International Conference, 2004

Predictive Graph Mining.

[BibT_eX]

[DOI]

Andreas Karwath

Proceedings of the Discovery Science, 7th International Conference, 2004

Inductive Querying for Discovering Subgroups and Clusters.

[BibT_eX]

[DOI]

Proceedings of the Constraint-Based Mining and Inductive Databases, 2004

Towards Query Evaluation in Inductive Databases Using Version Spaces.

[BibT_eX]

[DOI]

Proceedings of the Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries, 2004

Constraint Based Mining of First Order Sequences in SeqLog.

[BibT_eX]

[DOI]

Proceedings of the Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries, 2004

Probabilistic Inductive Logic Programming.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory, 15th International Conference, 2004

2003

Probabilistic logic learning.

[BibT_eX]

[DOI]

SIGKDD Explor., 2003

Multirelational data mining 2003: workshop report.

[BibT_eX]

[DOI]

Stefan Wrobel

SIGKDD Explor., 2003

Multi-relational data mining: the current frontiers.

[BibT_eX]

[DOI]

SIGKDD Explor., 2003

Towards Discovering Structural Signatures of Protein Folds Based on Logical Hidden Markov Models.

[BibT_eX]

[DOI]

Proceedings of the 8th Pacific Symposium on Biocomputing, 2003

Towards Optimizing Conjunctive Inductive Queries.

[BibT_eX]

Johannes Fischer

Proceedings of the Second International Workshop on Inductive Databases, 2003

An Algebra for Inductive Query Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002

A Perspective on Inductive Databases.

[BibT_eX]

[DOI]

SIGKDD Explor., 2002

Multi-Relational Data Mining: a Workshop Report.

[BibT_eX]

[DOI]

SIGKDD Explor., 2002

Logical Hidden Markov Models (Extendes abstract).

[BibT_eX]

[DOI]

Tapani Raiko

Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002

Constraint Based Mining of First Order Sequences in SeqLog.

[BibT_eX]

[DOI]

Proceedings of the First International Workshop on Inductive Databases, 2002

A Theory of Inductive Query Answering.

[BibT_eX]

[DOI]

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Phase Transitions and Stochastic Local Search in k-Term DNF Learning.

[BibT_eX]

[DOI]

Ulrich Rückert

Proceedings of the Machine Learning: ECML 2002, 2002

Data Mining as Constraint Logic Programming.

[BibT_eX]

[DOI]

Proceedings of the Computational Logic: Logic Programming and Beyond, 2002

2001

Relational Reinforcement Learning.

[BibT_eX]

[DOI]

Kurt Driessens

Mach. Learn., 2001

Molecular feature mining in HIV data.

[BibT_eX]

[DOI]

Christoph Helma

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Towards Combining Inductive Logic Programming with Bayesian Networks.

[BibT_eX]

[DOI]

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

Adaptive Bayesian Logic Programs.

[BibT_eX]

[DOI]

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

The Levelwise Version Space Algorithm and its Application to Molecular Fragment Finding.

[BibT_eX]

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

Feature Construction with Version Spaces for Biochemical Applications.

[BibT_eX]

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.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Its Applications, Advanced Lectures, 2001

2000

Benelearn: The First 10 Years.

[BibT_eX]

[DOI]

Maarten van Someren

AI Commun., 2000

AI Research in the Benelux - Guest Editorial.

[BibT_eX]

[DOI]

Johannes A. La Poutré

Floor Verdenius

AI Commun., 2000

A Logical Database Mining Query Language.

[BibT_eX]

[DOI]

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

Bayesian Logic Programs.

[BibT_eX]

[DOI]

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

1999

Scaling Up Inductive Logic Programming by Learning from Interpretations.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 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

Database Mining and Inductive Logic Programming.

[BibT_eX]

Proceedings of the JFPLC'99, 1999

Instance Based Function Learning.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 9th International Workshop, 1999

Generalizing Refinement Operators to Learn Prenex Conjunctive Normal Forms.

[BibT_eX]

[DOI]

Shan-Hwei Nienhuys-Cheng

Proceedings of the Inductive Logic Programming, 9th International Workshop, 1999

A Perspective on Inductive Logic Programming.

[BibT_eX]

[DOI]

Proceedings of the Logic Programming Paradigm - A 25-Year Perspective, 1999

1998

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

[BibT_eX]

[DOI]

Artif. Intell., 1998

Isidd: An Interactive System for Inductive Database Design.

[BibT_eX]

[DOI]

Appl. Artif. Intell., 1998

Inductive Verification and Validation of the KULRoT RoboCup Team.

[BibT_eX]

[DOI]

Proceedings of the RoboCup-98: Robot Soccer World Cup II, 1998

Attribute-Value Learning Versus Inductive Logic Programming: The Missing Links (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998

Using ILP-Systems for Verification and Validation of Multi-agent Systems.

[BibT_eX]

[DOI]

Nico Jacobs

Kurt Driessens

Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998

Relational Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998

Top-Down Induction of Clustering Trees.

[BibT_eX]

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

Inductive verification and validation of multi agent systems.

[BibT_eX]

[DOI]

Nico Jacobs

Kurt Driessens

Proceedings of the 1998 European Workshop on Validation and Verification of Knowledge-Based Systems, 1998

An Inductive Logic Programming Query Language for Database Mining.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Symbolic Computation, 1998

1997

Clausal Discovery.

[BibT_eX]

[DOI]

Mach. Learn., 1997

Artificial Intelligence in Belgium and the BeNeLux: Past and Future.

[BibT_eX]

[DOI]

AI Commun., 1997

Logical Settings for Concept-Learning.

[BibT_eX]

[DOI]

Artif. Intell., 1997

On Multi-class Problems and Discretization in Inductive Logic Programming.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems, 10th International Symposium, 1997

Using Logical Decision Trees for Clustering.

[BibT_eX]

[DOI]

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

Mining Association Rules in Multiple Relations.

[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

Machine Learning for Verification and Validation.

[BibT_eX]

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

Theta-Subsumption for Structural Matching.

[BibT_eX]

[DOI]

Peter Idestam-Almquist

Proceedings of the Machine Learning: ECML-97, 1997

1996

Multiple Predicate Learning in Two Inductive Logic Programming Settings.

[BibT_eX]

[DOI]

Log. J. IGPL, 1996

PAC-Learning Logic Programs under the Closed-World Assumption.

[BibT_eX]

[DOI]

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

DLAB: A Declarative Language Bias Formalism.

[BibT_eX]

[DOI]

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

Proceedings of the Inductive Logic Programming, 6th International Workshop, 1996

Analysis and Prediction of Piano Performances Using Inductive Logic Programming.

[BibT_eX]

[DOI]

Erika Van Baelen

Proceedings of the Inductive Logic Programming, 6th International Workshop, 1996

1995

Declarative Bias for Specific-to-General ILP Systems.

[BibT_eX]

[DOI]

Hilde Adé

Mach. Learn., 1995

Inductive Logic Programming: A Survey of European Research.

[BibT_eX]

[DOI]

AI Commun., 1995

Forgetting and Compacting data in Concept Learning.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

Inductive Constraint Logic.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory, 6th International Conference, 1995

1994

Inductive Logic Programming: Theory and Methods.

[BibT_eX]

[DOI]

Stephen H. Muggleton

J. Log. Program., 1994

Iterative Versionspaces.

[BibT_eX]

[DOI]

Artif. Intell., 1994

First-Order jk-Clausal Theories are PAC-Learnable.

[BibT_eX]

[DOI]

Artif. Intell., 1994

Applications of a Logical Discovery Engine.

[BibT_eX]

Proceedings of the Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop, 1994

RUTH: an ILP Theory Revision System.

[BibT_eX]

[DOI]

Hilde Adé

Bart Malfait

Proceedings of the Methodologies for Intelligent Systems, 8th International Symposium, 1994

1993

A Brief Introduction to Inductive Logic Programming.

[BibT_eX]

Proceedings of the Logic Programming, 1993

The Many Faces of Inductive Logic Programming.

[BibT_eX]

[DOI]

Proceedings of the Methodologies for Intelligent Systems, 7th International Symposium, 1993

Multiple Predicate Learning.

[BibT_eX]

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

A Theory of Clausal Discovery.

[BibT_eX]

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

1992

Interactive Concept-Learning and Constructive Induction by Analogy.

[BibT_eX]

[DOI]

Mach. Learn., 1992

A unifying framework for concept-learning algorithms.

[BibT_eX]

[DOI]

Knowl. Eng. Rev., 1992

Acquiring object-knowledge.

[BibT_eX]

[DOI]

Johan Feyaerts

J. Exp. Theor. Artif. Intell., 1992

Belief Updating from Integrity Constraints and Queries.

[BibT_eX]

[DOI]

Artif. Intell., 1992

Inverse Resolution in an Integrated Inductive-Deductive Learning System.

[BibT_eX]

Hilde Adé

Proceedings of the 10th European Conference on Artificial Intelligence, 1992

1991

Integrity Constraints and Interactive Concept-Learning.

[BibT_eX]

[DOI]

Bern Martens

Proceedings of the Eighth International Workshop (ML91), 1991

Acquiring Object-Knowledge for Learning Systems.

[BibT_eX]

[DOI]

Johan Feyaerts

Proceedings of the Machine Learning, 1991

Panel: Logic and Learnability.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 1991

1990

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

[BibT_eX]

Proceedings of the 9th European Conference on Artificial Intelligence, 1990

1989

Towards Friendly Concept-Learners.

[BibT_eX]

[DOI]

Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

Explanation Based Program Transformation.

[BibT_eX]

[DOI]

Danny De Schreye

Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

Constructive Induction by Analogy.

[BibT_eX]

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

Generalizing Multiple Examples in Explanation Based Learning.

[BibT_eX]

[DOI]

Proceedings of the Analogical and Inductive Inference, 1989

1988

On Interactive Concept-Learning and Assimilation.

[BibT_eX]