Derek H. Sleeman (Ed.): EWSL88, Proceedings of the Third European Working Session on Learning, Turing Institute, Glasgow, 3-5 October 1988. Pitman Publishing, 1988, ISBN 0-273-08800-9

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  Francesco Bergadano, Stan Matwin, Ryszard S. Michalski, Jianping Zhang: Measuring Quality of Concept Descriptions. 1-14
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  Marco Botta, Lorenza Saitta: Improving Knowledge-Based System Performance by Experience. 15-23
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  Stéphane Boucheron, Jean Sallantin: Learnability in the Presence of Noise. 25-35
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  Peter Clark: Representing Arguments as Background Knowledge for Constraining Gereralisation. 37-44
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  Alan Hutchinson: Building Grammars from Natural Text. 45-52
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  Mark T. Keane, Mike Brayshaw: The Incremental Analogy Machine: A Computational Model of Analogy. 53-62
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  Dennis F. Kibler, David W. Aha: Comparing Instance-Averaging with Instance-Filtering Learning Algorithms. 63-79
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  Dennis F. Kibler, Pat Langley: Machine Learning as an Experimental Science. 81-92
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  Brent J. Krawchuk, Ian H. Witten: Problem Solvers that Learn. 93-106
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  Donald Michie: Machine Learning in the Next Five Years. 107-122
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  Stephen Muggleton: A Strategy for Constructing New Predicates in First-Order Logic. 123-130
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  Tim Niblett: A Study of Generalisation in Logic Programs. 131-138
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  Marlon Núñez: Economic Induction: A Case Study. 139-145
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  Michael J. Pazzani: Integrating Explanation-Based and Empirical Learning Methods in OCCAM. 147-165
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  Luc De Raedt, Maurice Bruynooghe: On Interactive Concept-Learning and Assimilation. 167-176
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  Larry A. Rendell: Learning Hard Concepts. 177-200
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  S. Sharma, Derek H. Sleeman: REFINER: A Case-Based Differential Diagnosis Aide for Knowledge Acquisition and Knowledge Refinement. 201-210
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  Walter Van de Velde: Learning through Progressive Refinement. 211-226
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  Christel Vrain, Cheng-Ren Lu: An Analogical Method to do Incremental Learning of Concepts. 227-235
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  Rüdiger Wirth: Learning by Failure to Prove. 237-251
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  Stefan Wrobel: Automatic Representation Adjustment in an Observational Discovery System. 253-262