Knowledge-Based Learning in Exploratory Science: Learning Rules to Predict Rodent Carcinogenicity
Machine Learning - Special issue on applications of machine learning and the knowledge discovery process
Scientific knowledge discovery using inductive logic programming
Communications of the ACM
Reasoning about nonlinear system identification
Artificial Intelligence
Discovering the Structure of Partial Differential Equations from Example Behaviour
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Enhancing the Plausibility of Law Equation Discovery
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Discovering Communicable Scientific Knowledge from Spatio-Temporal Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Computational Revision of Quantitative Scientific Models
DS '01 Proceedings of the 4th International Conference on Discovery Science
An Integrated Framework for Extended Discovery in Particle Physics
DS '01 Proceedings of the 4th International Conference on Discovery Science
Spatial aggregation: theory and applications
Journal of Artificial Intelligence Research
Principles of human-computer collaboration for knowledge discovery in science
Artificial Intelligence
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The Symposium on Computational Discovery of Communicable Knowledge was held from March 24 to 25, 2001, at Stanford University. Fifteen speakers reviewed recent advances in computational approaches to scientific discovery, focusing on their discovery tasks and the generated knowledge, rather than on the discovery algorithms themselves. Despite considerable variety in both tasks and methods, the talks were unified by a concern with the discovery of knowledge cast in formalisms used to communicate among scientists and engineers.