- 1.Michalski, B. S., J. G. Carbonell, T. M. Mitchell, "Machine Learning, An Artificial Intelligence Approach ", Morgan Kaufmann, Los Altos, 1983. Google ScholarDigital Library
- 2.Vere, S. A., "Induction of Concepts in the Predicate Calculus ", Fourth international Joint Conference on Artificial Intelligence, Tbilisi, USSR, pp. 281-287, 1975.Google Scholar
- 3.Vere, S. A., "Induction of Relational Productions in the Presence of Background Information "Fifth International Joint Conference on Artificial Intelligence, Cambridge, Mass., pp. 349-355, 1977.Google Scholar
- 4.Vere, S. A., "Multilevel Counterfactuals for Generalizations of Relational Concepts and Productions ", Artificial Intelligence, Vol. 14, No. 2, pp. 138-164, September, 1980.Google ScholarCross Ref
Index Terms
- MLS, a machine learning system for engine fault diagnosis
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