Learning first order universal Horn expressions
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Learning to Reason with a Restricted View
Machine Learning
Learning Function-Free Horn Expressions
Machine Learning - The Eleventh Annual Conference on computational Learning Theory
On Exact Learning of Unordered Tree Patterns
Machine Learning
Three companions for data mining in first order logic
Relational Data Mining
How to upgrade propositional learners to first order logic: case study
Relational Data Mining
Propositionalization approaches to relational data mining
Relational Data Mining
Scaling Up Inductive Logic Programming by Learning from Interpretations
Data Mining and Knowledge Discovery
Confirmation-Guided Discovery of First-Order Rules with Tertius
Machine Learning
Learning in Clausal Logic: A Perspective on Inductive Logic Programming
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part I
Modeling User Preferences and Mediating Agents in Electronic Commerce
Agent Mediated Electronic Commerce, The European AgentLink Perspective.
Inductive Verification and Validation of the KULRoT RoboCup Team
RoboCup-98: Robot Soccer World Cup II
Learning Range Restricted Horn Expressions
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
How to Upgrade Propositional Learners to First Order Logic: A Case Study
Machine Learning and Its Applications, Advanced Lectures
Learning a Go Heuristic with TILDE
CG '00 Revised Papers from the Second International Conference on Computers and Games
Generalizing Refinement Operators to Learn Prenex Conjunctive Normal Forms
ILP '99 Proceedings of the 9th International Workshop on Inductive Logic Programming
ILP '00 Proceedings of the 10th International Conference on Inductive Logic Programming
ILP '00 Proceedings of the 10th International Conference on Inductive Logic Programming
Induction, Abduction, and Consequence-Finding
ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming
A Dynamic Approach to Dimensionality Reduction in Relational Learning
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
Filtering Multi-Instance Problems to Reduce Dimensionality in Relational Learning
Journal of Intelligent Information Systems
Scalability and efficiency in multi-relational data mining
ACM SIGKDD Explorations Newsletter
ACM SIGKDD Explorations Newsletter
Induction as Consequence Finding
Machine Learning
Fast Theta-Subsumption with Constraint Satisfaction Algorithms
Machine Learning
Theory revision with queries: horn, read-once, and parity formulas
Artificial Intelligence
Integrating Guidance into Relational Reinforcement Learning
Machine Learning
Polynomial certificates for propositional classes
Information and Computation
Complexity parameters for first order classes
Machine Learning
Database dependency discovery: a machine learning approach
AI Communications
Learning Horn Expressions with LOGAN-H
The Journal of Machine Learning Research
Margin-based first-order rule learning
Machine Learning
Building rules on top of ontologies for the semantic web with inductive logic programming
Theory and Practice of Logic Programming
Inductive Logic Programming
ILP '08 Proceedings of the 18th international conference on Inductive Logic Programming
HTILDE: scaling up relational decision trees for very large databases
Proceedings of the 2009 ACM symposium on Applied Computing
An Inductive Logic Programming Approach to Statistical Relational Learning
Proceedings of the 2005 conference on An Inductive Logic Programming Approach to Statistical Relational Learning
Concept Learning from (Very) Ambiguous Examples
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Towards learning stochastic logic programs from proof-banks
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Improving the efficiency of inductive logic programming through the use of query packs
Journal of Artificial Intelligence Research
Logical analysis of binary data with missing bits
Artificial Intelligence
Taming the Complexity of Inductive Logic Programming
SOFSEM '10 Proceedings of the 36th Conference on Current Trends in Theory and Practice of Computer Science
Polynomial certificates for propositional classes
Information and Computation
The subsumption lattice and query learning
Journal of Computer and System Sciences
Modelling user preferences and mediating agents in electronic commerce
Knowledge-Based Systems
Probabilistic inductive logic programming
Probabilistic inductive logic programming
Basic principles of learning Bayesian logic programs
Probabilistic inductive logic programming
Event Model Learning from Complex Videos using ILP
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Learning terminologies in probabilistic description logics
SBIA'10 Proceedings of the 20th Brazilian conference on Advances in artificial intelligence
Seeing the world through homomorphism: an experimental study on reducibility of examples
ILP'10 Proceedings of the 20th international conference on Inductive logic programming
From inductive logic programming to relational data mining
JELIA'06 Proceedings of the 10th European conference on Logics in Artificial Intelligence
(Agnostic) PAC learning concepts in higher-order logic
ECML'06 Proceedings of the 17th European conference on Machine Learning
Statistical relational learning: an inductive logic programming perspective
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Statistical relational learning: an inductive logic programming perspective
ECML'05 Proceedings of the 16th European conference on Machine Learning
Inductive equivalence of logic programs
ILP'05 Proceedings of the 15th international conference on Inductive Logic Programming
CLASSIC'CL: an integrated ILP system
DS'05 Proceedings of the 8th international conference on Discovery Science
Reducing examples in relational learning with bounded-treewidth hypotheses
NFMCP'12 Proceedings of the First international conference on New Frontiers in Mining Complex Patterns
Learning from interpretation transition
Machine Learning
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