Acquiring Integer Programs from Data.

IJCAI 
2019 
1 
A Theory of Clausal Discovery.

IJCAI 
1993 
100 
Declarative Modeling for Machine Learning and Data Mining.

ECML/PKDD 
2012 
0 
kProbLog: An Algebraic Prolog for Kernel Programming.

ILP 
2015 
0 
Frequent Hypergraph Mining.

ILP 
2006 
14 
DeepProbLog: Neural Probabilistic Logic Programming.

NIPS/NeurIPS 
2018 
50 
ProbLog2: Probabilistic Logic Programming.

ECML/PKDD 
2015 
21 
Probabilistic Explanation Based Learning.

ECML/PKDD 
2007 
20 
Logical Markov Decision Programs and the Convergence of Logical TD(lambda).

ILP 
2004 
25 
A Logical Database Mining Query Language.

ILP 
2000 
15 
Languages for Learning and Mining.

AAAI 
2015 
4 
KernelBased Logical and Relational Learning with kLog for Hedge Cue Detection.

ILP 
2011 
11 
Bellman goes relational.

ICML 
2004 
76 
Condition Monitoring with Incomplete Observations.

ECAI 
2014 
1 
Probabilistic Rule Learning.

ILP 
2010 
29 
Occluded object search by relational affordances.

ICRA 
2014 
16 
Parameter Learning in Probabilistic Databases: A Least Squares Approach.

ECML/PKDD 
2008 
47 
Relational KernelBased Grasping with Numerical Features.

ILP 
2015 
0 
kFOIL: Learning Simple Relational Kernels.

AAAI 
2006 
81 
Distributional Clauses Particle Filter.

ECML/PKDD 
2014 
2 
Generalizing Refinement Operators to Learn Prenex Conjunctive Normal Forms.

ILP 
1999 
9 
On Negation and ThreeValued Logic in Interactive ConceptLearning.

ECAI 
1990 
16 
Instance Based Function Learning.

ILP 
1999 
9 
On the Efficient Execution of ProbLog Programs.

ICLP 
2008 
47 
Using Logical Decision Trees for Clustering.

ILP 
1997 
41 
A Simple Model for Sequences of Relational State Descriptions.

ECML/PKDD 
2008 
19 
Mining Association Rules in Multiple Relations.

ILP 
1997 
158 
Anytime Inference in Probabilistic Logic Programs with TpCompilation.

IJCAI 
2015 
22 
Learning the Structure of Dynamic Hybrid Relational Models.

ECAI 
2016 
8 
ClusterGrouping: From Subgroup Discovery to Clustering.

ECML/PKDD 
2004 
2 
Allocentric Pose Estimation.

ICCV 
2013 
5 
ConstraintBased Pattern Set Mining.

SDM 
2007 
83 
Phase Transitions and Stochastic Local Search in kTerm DNF Learning.

ECML/PKDD 
2002 
27 
Molecular feature mining in HIV data.

KDD 
2001 
181 
Relational object tracking and learning.

ICRA 
2014 
19 
Statistical Relational Learning: An Inductive Logic Programming Perspective.

ECML/PKDD 
2005 
2 
The Levelwise Version Space Algorithm and its Application to Molecular Fragment Finding.

IJCAI 
2001 
114 
Probabilistic Logic Learning  A Tutorial Abstract.

ICLP 
2009 
0 
Learning the Parameters of Probabilistic Logic Programs from Interpretations.

ECML/PKDD 
2011 
53 
A Theory of Inductive Query Answering.

ICDM 
2002 
48 
Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation.

AAAI 
2019 
7 
Learning Constraints From Examples.

AAAI 
2018 
8 
Learning relational affordance models for twoarm robots.

IROS 
2014 
10 
Relational Affordance Learning for TaskDependent Robot Grasping.

ILP 
2017 
2 
The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration.

IJCAI 
2019 
2 
Condensed Representations for Inductive Logic Programming.

KR 
2004 
35 
Relational Reinforcement Learning.

MLJ 
2001 
1 
Planning in hybrid relational MDPs.

MLJ 
2017 
2 
Integrating Naïve Bayes and FOIL.

JMLR 
2007 
51 
MiningZinc: A Modeling Language for ConstraintBased Mining.

IJCAI 
2013 
24 
An Exercise in Declarative Modeling for Relational Query Mining.

ILP 
2015 
5 
ExplanationBased Approximate Weighted Model Counting for Probabilistic Logics.

AAAI 
2014 
12 
Relational Regularization and Feature Ranking.

SDM 
2014 
1 
Don't Be Afraid of Simpler Patterns.

ECML/PKDD 
2006 
49 
Multiple Predicate Learning.

IJCAI 
1993 
58 
Towards Combining Inductive Logic Programming with Bayesian Networks.

ILP 
2001 
107 
Flexible constrained sampling with guarantees for pattern mining.

DMKD 
2017 
10 
Forgetting and Compacting data in Concept Learning.

IJCAI 
1995 
2 
ProbLog: A Probabilistic Prolog and Its Application in Link Discovery.

IJCAI 
2007 
488 
Learning relational affordance models for robots in multiobject manipulation tasks.

ICRA 
2012 
86 
Extending ProbLog with Continuous Distributions.

ILP 
2010 
33 
Explanation Based Program Transformation.

IJCAI 
1989 
10 
Towards Learning Stochastic Logic Programs from ProofBanks.

AAAI 
2005 
11 
Evaluating Pattern Set Mining Strategies in a Constraint Programming Framework.

PAKDD 
2011 
7 
How to Exploit Structure while Solving Weighted Model Integration Problems.

UAI 
2019 
2 
AttributeValue Learning Versus Inductive Logic Programming: The Missing Links (Extended Abstract).

ILP 
1998 
94 
Using ILPSystems for Verification and Validation of Multiagent Systems.

ILP 
1998 
5 
Predicting Spike Activity in Neuronal Cultures.

IJCNN 
2007 
0 
Exploiting local and repeated structure in Dynamic Bayesian Networks.

Artificial Intelligence 
2016 
18 
Lifted Probabilistic Inference by FirstOrder Knowledge Compilation.

IJCAI 
2011 
124 
Belief Updating from Integrity Constraints and Queries.

Artificial Intelligence 
1992 
29 
Learning Relational Navigation Policies.

IROS 
2006 
28 
Revising Probabilistic Prolog Programs.

ILP 
2006 
1 
Not Far Away from Home: A Relational DistanceBased Approach to Understanding Images of Houses.

ILP 
2010 
1 
An experimental evaluation of simplicity in rule learning.

Artificial Intelligence 
2008 
12 
Relational data factorization.

MLJ 
2017 
0 
TaCLe: Learning Constraints in Tabular Data.

CIKM 
2017 
0 
Probabilistic (logic) programming concepts.

MLJ 
2015 
73 
Stochastic Constraint Programming with AndOr BranchandBound.

IJCAI 
2017 
3 
MiningZinc: A declarative framework for constraintbased mining.

Artificial Intelligence 
2017 
17 
Probabilistic logic programming for hybrid relational domains.

MLJ 
2016 
14 
An Algebra for Inductive Query Evaluation.

ICDM 
2003 
20 
FirstOrder jkClausal Theories are PACLearnable.

Artificial Intelligence 
1994 
111 
Learning constraints in spreadsheets and tabular data.

MLJ 
2017 
7 
Grammar Mining.

SDM 
2009 
0 
Towards Clausal Discovery for Stream Mining.

ILP 
2009 
7 
Rank Matrix Factorisation.

PAKDD 
2015 
4 
Lookahead and Discretization in ILP.

ILP 
1997 
48 
Constraint programming for itemset mining.

KDD 
2008 
119 
rgrams: Relational Grams.

IJCAI 
2007 
7 
A query language for analyzing networks.

CIKM 
2009 
36 
An Algebraic Prolog for Reasoning about Possible Worlds.

AAAI 
2011 
20 
Relational Reinforcement Learning.

ILP 
1998 
2 
Feature Construction with Version Spaces for Biochemical Applications.

ICML 
2001 
72 
Relational Learning for Spatial Relation Extraction from Natural Language.

ILP 
2011 
17 
Ranked Tiling.

ECML/PKDD 
2014 
13 
ProbLog Technology for Inference in a Probabilistic First Order Logic.

ECAI 
2010 
9 
Inverse Resolution in an Integrated InductiveDeductive Learning System.

ECAI 
1992 
1 
Learning SMT(LRA) Constraints using SMT Solvers.

IJCAI 
2018 
8 
Logical Hidden Markov Models.

JAIR 
2006 
81 
Logical Settings for ConceptLearning.

Artificial Intelligence 
1997 
105 
Graph Invariant Kernels.

IJCAI 
2015 
46 
A particle filter for hybrid relational domains.

IROS 
2013 
40 
Planning in Discrete and Continuous Markov Decision Processes by Probabilistic Programming.

ECML/PKDD 
2015 
19 
Clustergrouping: from subgroup discovery to clustering.

MLJ 
2009 
22 
ThetaSubsumption for Structural Matching.

ECML/PKDD 
1997 
3 
Towards Friendly ConceptLearners.

IJCAI 
1989 
19 
Relational Learning and Inductive Logic Programming Made Easy Abstract of Tutorial.

ECML/PKDD 
1999 
0 
DTProbLog: A DecisionTheoretic Probabilistic Prolog.

AAAI 
2010 
40 
TopDown Induction of Clustering Trees.

ICML 
1998 
304 
nFOIL: Integrating Naïve Bayes and FOIL.

AAAI 
2005 
64 
PageRank, ProPPR, and Stochastic Logic Programs.

ILP 
2014 
0 
On Mining Closed Sets in MultiRelational Data.

IJCAI 
2007 
15 
Itemset mining: A constraint programming perspective.

Artificial Intelligence 
2011 
123 
Adaptive Bayesian Logic Programs.

ILP 
2001 
51 
Local Query Mining in a Probabilistic Prolog.

IJCAI 
2009 
7 
Inference in Probabilistic Logic Programs using Weighted CNF's.

UAI 
2011 
60 
Inducing Probabilistic Relational Rules from Probabilistic Examples.

IJCAI 
2015 
35 
Iterative Versionspaces.

Artificial Intelligence 
1994 
8 
Correlated itemset mining in ROC space: a constraint programming approach.

KDD 
2009 
60 
Solving Probability Problems in Natural Language.

IJCAI 
2017 
7 
kProbLog: an algebraic Prolog for machine learning.

MLJ 
2017 
1 
Constraint Programming for Data Mining and Machine Learning.

AAAI 
2010 
47 
kLog: A Language for Logical and Relational Learning with Kernels (Extended Abstract).

IJCAI 
2015 
0 
Towards Optimizing Conjunctive Inductive Queries.

PAKDD 
2004 
0 
Relational Reinforcement Learning.

ICML 
1998 
0 
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting.

JMLR 
2006 
0 
Effective feature construction by maximum common subgraph sampling.

MLJ 
2011 
0 
Interactive ConceptLearning and Constructive Induction by Analogy.

MLJ 
1992 
0 
Declarative Bias for SpecifictoGeneral ILP Systems.

MLJ 
1995 
0 
ILP turns 20  Biography and future challenges.

MLJ 
2012 
0 
Clausal Discovery.

MLJ 
1997 
0 
Stochastic relational processes: Efficient inference and applications.

MLJ 
2011 
0 
Predictive spreadsheet autocompletion with constraints.

MLJ 
2020 
0 
Fast learning of relational kernels.

MLJ 
2010 
0 
Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning.

MLJ 
2011 
0 
Compressing probabilistic Prolog programs.

MLJ 
2008 
0 
kLog: A language for logical and relational learning with kernels.

Artificial Intelligence 
2014 
0 
TopDown Induction of FirstOrder Logical Decision Trees.

Artificial Intelligence 
1998 
0 
Scaling Up Inductive Logic Programming by Learning from Interpretations.

DMKD 
1999 
0 