An expert system for mapping acoustic cues into phonetic features
Information Sciences: an International Journal
Foundations of logic programming; (2nd extended ed.)
Foundations of logic programming; (2nd extended ed.)
Automated Concept Acquisition in Noisy Environments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Towards a theory of declarative knowledge
Foundations of deductive databases and logic programming
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
IEEE Transactions on Pattern Analysis and Machine Intelligence
C4.5: programs for machine learning
C4.5: programs for machine learning
Knowledge-based artificial neural networks
Artificial Intelligence
Constructing deterministic finite-state automata in recurrent neural networks
Journal of the ACM (JACM)
Machine Learning - special issue on inductive logic programming
Integrating Multiple Learning Strategies in First Order Logics
Machine Learning - Special issue on multistrategy learning
Top-down induction of first-order logical decision trees
Artificial Intelligence
Machine Learning - Special issue on multistrategy learning
Inductive Logic Programming: Techniques and Applications
Inductive Logic Programming: Techniques and Applications
Learning Logical Definitions from Relations
Machine Learning
Explanation-Based Generalization: A Unifying View
Machine Learning
FONN: Combining First Order Logic with Connectionist Learning
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Refining First Order Theories with Neural Networks
ISMIS '97 Proceedings of the 10th International Symposium on Foundations of Intelligent Systems
Polynomial-Time Learning in Logic Programming and Constraint Logic Programming
ILP '96 Selected Papers from the 6th International Workshop on Inductive Logic Programming
Refining Numerical Terms in Horn Clauses
AI*IA '97 Proceedings of the 5th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
Network Structuring and Training Using Rule-Based Knowledge
Advances in Neural Information Processing Systems 5, [NIPS Conference]
Integrated Architectures for Machine Learning
Machine Learning and Its Applications, Advanced Lectures
Resampling vs Reweighting in Boosting a Relational Weak Learner
AI*IA 01 Proceedings of the 7th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
Inductive learning from numerical and symbolic data: An integrated framework
Intelligent Data Analysis
A numerical refinement operator based on multi-instance learning
ILP'10 Proceedings of the 20th international conference on Inductive logic programming
Handling continuous-valued attributes in incremental first-order rules learning
AI*IA'05 Proceedings of the 9th conference on Advances in Artificial Intelligence
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This paper proposes a methodfor refining numerical constants occurring in rules of a knowledge baseexpressed in a first order logic language. The method consistsin tuning numerical parameters by performing error gradient descent.The knowledge base to be refined can be manually handcrafted or automaticallyacquired by a symbolic relational learner, able todeal with numerical features. The results of an experimentalanalysis performed on four case studiesshow that the refinement step can be effective in improving classificationperformances.