Open AccessApproaches to machine learning
Author(s) -
Langley Pat,
Carbonell Jaime G.
Publication year - 1984
Publication title -
journal of the american society for information science
Language(s) - English
Resource type - Journals
eISSN - 1097-4571
pISSN - 0002-8231
DOI - 10.1002/asi.4630350509
Subject(s) - computer science , field (mathematics) , artificial intelligence , machine learning , data science , pure mathematics , mathematics
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.
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