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Model Class Selection and Construction: Beyond the Procrustean Approach to Machine Learning Applications

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Machine Learning and Its Applications (ACAI 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2049))

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Abstract

Machine Learning was primarily inspired by human learning. In a branch of Artificial Intelligence scientists tried to build systems that reproduce forms of human learning. Currently the methods that were discovered in this way have been elaborated and are applied to tasks that are not performed by humans at all. For example, one of the most popular applications is the analysis of consumer data to predict buying behaviour. This has not traditionally been viewed as an interesting form of human intelligence.

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Author information

Authors and Affiliations

  1. Department of Social Science Informatics, Roetersstraat 15, 1018, WB Amsterdam, The Netherlands

    Maarten van Someren

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  1. Maarten van Someren
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  1. National Centre for Scientific Research “Demokritos”, Institute of Informatics and Telecommunications, P.O. Box 60228, Ag. Paraskevi, 15310, Athens, Greece

    Georgios Paliouras , Vangelis Karkaletsis  & Constantine D. Spyropoulos ,  & 

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© 2001 Springer-Verlag Berlin Heidelberg

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van Someren, M. (2001). Model Class Selection and Construction: Beyond the Procrustean Approach to Machine Learning Applications. In: Paliouras, G., Karkaletsis, V., Spyropoulos, C.D. (eds) Machine Learning and Its Applications. ACAI 1999. Lecture Notes in Computer Science(), vol 2049. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44673-7_9

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  • DOI: https://doi.org/10.1007/3-540-44673-7_9

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42490-1

  • Online ISBN: 978-3-540-44673-6

  • eBook Packages: Springer Book Archive

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