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Book Chapter
Model Class Selection and Construction: Beyond the Procrustean Approach to Machine Learning Applications
Book Series
Lecture Notes in Computer Science
Publisher
Springer Berlin / Heidelberg
ISSN
0302-9743 (Print) 1611-3349 (Online)
Volume
Volume 2049/2001
Book
Machine Learning and Its Applications
DOI
10.1007/3-540-44673-7
Copyright
2001
ISBN
978-3-540-42490-1
DOI
10.1007/3-540-44673-7_9
Pages
196-217
Subject Collection
Computer Science
SpringerLink Date
Monday, January 01, 2001
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Model Class Selection and Construction: Beyond the Procrustean Approach to Machine Learning Applications
Maarten van Someren
2
(2)
Department of Social Science Informatics, Roetersstraat 15, 1018 WB Amsterdam, The Netherlands
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.
Maarten
van
Someren
Email:
maarten@swi.psy.uva.nl
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