FONN: Combining First Order Logic with Connectionist Learning

Learning in the “Real World”

Machine Learning - Special issue on applications of machine learning and the knowledge discovery process

Resource-bounded Relational Reasoning: Induction and Deduction Through Stochastic Matching

Machine Learning - Special issue on multistrategy learning

Feature Selection vs Theory Reformulation: A Study of Genetic Refinement of Knowledge-based Neural Networks

Machine Learning - Special issue on multistrategy learning

Refining Numerical Constants in First Order Logic Theories

Machine Learning - Special issue on multistrategy learning

Approximate Match of Rules Using Backpropagation Neural Networks

Machine Learning

Integrated Architectures for Machine Learning

Machine Learning and Its Applications, Advanced Lectures

Approximate ILP Rules by Backpropagation Neural Network: A Result on Thai Character Recognition

ILP '99 Proceedings of the 9th International Workshop on Inductive Logic Programming

IBC: A First-Order Bayesian Classifier

ILP '99 Proceedings of the 9th International Workshop on Inductive Logic Programming

Learning Logic Programs with Neural Networks

ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming

First-Order Logical Neural Networks

International Journal of Hybrid Intelligent Systems - Recent developments in Hybrid Intelligent Systems

Inductive learning from numerical and symbolic data: An integrated framework

Intelligent Data Analysis

Classifying relational data with neural networks

ILP'05 Proceedings of the 15th international conference on Inductive Logic Programming