Machine Learning - special issue on inductive logic programming
Learning atomic formulas with prescribed properties
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Programming by demonstration: an inductive learning formulation
IUI '99 Proceedings of the 4th international conference on Intelligent user interfaces
Dynamically discovering likely program invariants to support program evolution
Proceedings of the 21st international conference on Software engineering
Separate-and-Conquer Rule Learning
Artificial Intelligence Review
Dynamically Discovering Likely Program Invariants to Support Program Evolution
IEEE Transactions on Software Engineering - Special issue on 1999 international conference on software engineering
A flexible learning system for wrapping tables and lists in HTML documents
Proceedings of the 11th international conference on World Wide Web
Automatic generation of program specifications
ISSTA '02 Proceedings of the 2002 ACM SIGSOFT international symposium on Software testing and analysis
Inducing classification and regression trees in first order logic
Relational Data Mining
How to upgrade propositional learners to first order logic: case study
Relational Data Mining
The Role of Occam‘s Razor in Knowledge Discovery
Data Mining and Knowledge Discovery
Maximizing Theory Accuracy Through Selective Reinterpretation
Machine Learning
How to Upgrade Propositional Learners to First Order Logic: A Case Study
Machine Learning and Its Applications, Advanced Lectures
Specific-to-general learning for temporal events
Eighteenth national conference on Artificial intelligence
TopLog: ILP Using a Logic Program Declarative Bias
ICLP '08 Proceedings of the 24th International Conference on Logic Programming
TopLog: ILP Using a Logic Program Declarative Bias
ICLP '08 Proceedings of the 24th International Conference on Logic Programming
An Inductive Logic Programming Approach to Statistical Relational Learning
Proceedings of the 2005 conference on An Inductive Logic Programming Approach to Statistical Relational Learning
Journal of Artificial Intelligence Research
Mining patterns of dyspepsia symptoms across time points using constraint association rules
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Context-sensitive refinements for stochastic optimisation algorithms in inductive logic programming
Artificial Intelligence Review
(Agnostic) PAC learning concepts in higher-order logic
ECML'06 Proceedings of the 17th European conference on Machine Learning
MC-TopLog: complete multi-clause learning guided by a top theory
ILP'11 Proceedings of the 21st international conference on Inductive Logic Programming
GPDL: a framework-independent problem definition language for grammar-guided genetic programming
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
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