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Finding Diverse Examples Using Genetic Algorithms

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Developments in Soft Computing

Part of the book series: Advances in Soft Computing ((AINSC,volume 9))

Abstract

The problem of finding qualitative examples is an interesting yet little studied machine learning problem. Take a set of objects, O and a set of classes C, where each object fits into one and only one class. Represent this classification by a total function f: O C. We assume that ∣range(f)∣ « ∣O∣.

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© 2001 Springer-Verlag Berlin Heidelberg

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Johnson, C.G. (2001). Finding Diverse Examples Using Genetic Algorithms. In: John, R., Birkenhead, R. (eds) Developments in Soft Computing. Advances in Soft Computing, vol 9. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1829-1_11

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  • DOI: https://doi.org/10.1007/978-3-7908-1829-1_11

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1361-6

  • Online ISBN: 978-3-7908-1829-1

  • eBook Packages: Springer Book Archive

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