PUBLICATION DATE

1989-12

AUTHORS

Carlton McDonald

TITLE

Machine learning: a survey of current techniques

ISSUE

4

VOLUME

3

ISSN (print)

0269-2821

ISSN (electronic)

1573-7462

ABSTRACT

Machine learning is the essence of machine intelligence. When we have systems that learn, we will have true artificial intelligence. Many machine-learning strategies exist, this paper reviews the state of the art in machine learning and provides a glimpse of the pioneers of present machine-learning systems and strategies. Learning in noisy domains, the evolutionary learning, learning by analogy and explanation-based learning are just some of the methods covered. Emphasis is placed on the algorithms employed by many of the systems, and the merits and disadvantages of various approaches. Finally an examination of VanLehn's theory of impasse-driven learning is made.

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33 TRIPLES      29 PREDICATES      32 URIs      18 LITERALS

Subject Predicate Object
1 articles:d5ed02dffd13677946cb098422f51cad sg:abstract Abstract Machine learning is the essence of machine intelligence. When we have systems that learn, we will have true artificial intelligence. Many machine-learning strategies exist, this paper reviews the state of the art in machine learning and provides a glimpse of the pioneers of present machine-learning systems and strategies. Learning in noisy domains, the evolutionary learning, learning by analogy and explanation-based learning are just some of the methods covered. Emphasis is placed on the algorithms employed by many of the systems, and the merits and disadvantages of various approaches. Finally an examination of VanLehn's theory of impasse-driven learning is made.
2 sg:articleType OriginalPaper
3 sg:coverYear 1989
4 sg:coverYearMonth 1989-12
5 sg:ddsId Art3
6 sg:ddsIdJournalBrand 10462
7 sg:doi 10.1007/BF00141197
8 sg:doiLink http://dx.doi.org/10.1007/BF00141197
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15 sg:hasJournal journals:3991116097be9b45ab794572150b6a11
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17 sg:hasJournalBrand journal-brands:4a282f7a2c46fea9e6695cbe4e34016d
18 sg:indexingDatabase Web of Science
19 sg:issnElectronic 1573-7462
20 sg:issnPrint 0269-2821
21 sg:issue 4
22 sg:language English
23 sg:license http://scigraph.springernature.com/explorer/license/
24 sg:pageEnd 280
25 sg:pageStart 243
26 sg:publicationYear 1989
27 sg:publicationYearMonth 1989-12
28 sg:scigraphId d5ed02dffd13677946cb098422f51cad
29 sg:title Machine learning: a survey of current techniques
30 sg:volume 3
31 sg:webpage https://link.springer.com/10.1007/BF00141197
32 rdf:type sg:Article
33 rdfs:label Article: Machine learning: a survey of current techniques
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