Measuring quality of concept descriptions, Francesco Bergadano et al; improving knowledge based system performance by experience, Marco Botta and L.Saitta; learnability in the presence of noise, Stephane Boucheron and Jean Sallantin; representing arguments as background knowledge for constraining generalization, Peter Clark; building grammars from natural text, Alan Hutchinson; the incremental analogy machine - a computational model of analogy, Mark Keane and Mike Brayshaw; comparing instance-averaging with instance-filtering learning algorithms, Dennis Kibler and David W.Aha; maching learning as an experimental science, Dennis Kibler and Pat Langley; problem solvers that learn, Brent J.Krawchuck and Ian H.Witten; machine learning in the next five years, D.Michie; a strategy for constructing new predicates in first-order logic, S.Muggleton; a study of generalization in logic programmes, Tim Niblett; economic induction - a case study, Marlon Nunez; integrating explanation-based and empirical learning methods in OCCAM - Michael J.Pazzani; on interactive concept-learning and assimilation, Luc de Raedt and Maurice Bruynooghe; learning hard concepts, Larry Rendell; REFINER - a case-based differential diagnosis aid for knowledge acquisition and knowledge refinement, S.Sharma and D.Sleeman; learning through progressive refinement, Walter van de Velde; an analogical method to do incremental learning of concepts, Christel Vrain and Cheng-Ren Lu; learning by failure to prove, Ruediger Wirth; automatic representation adjustment in an observational discovery system, Stefan Wrobel.
