Approaches to machine learning

Pat Langley and Jaime G. Carbonell

Journal of the American Society for Information Science, 1984, vol. 35, issue 5, 306-316

Abstract: The field of machine learning strives to develop methods and techniques to automate the acquisition of new information, new skills, and new ways of organizing existing information. This article reviews the major approaches to machine learning in symbolic domains, illustrated with occasional paradigmatic examples.

Date: 1984
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Persistent link: https://EconPapers.repec.org/RePEc:bla:jamest:v:35:y:1984:i:5:p:306-316

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