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Towards more collaboration between machine learning systems and their users

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Knowledge Acquisition, Modeling and Management (EKAW 1997)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1319))

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Abstract

This article investigates a way to deepen collaboration between Machine Learning Systems (MLS) and their users through the generation of explanations. More precisely, it focuses on the advises that may be given for helping the user during the evaluation of the MLS results and their correction. This is illustrated through the system EILP, an explanatory interface that supports the user during these tasks.

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Authors and Affiliations

  1. Sherpa project (INRIA Rhône-Alpes), ZIRST 655 Avenue de l'Europe, 38330, Montbonnot Saint Martin, France

    Jean-Marc Gabriel

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  1. Jean-Marc Gabriel
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Enric Plaza Richard Benjamins

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© 1997 Springer-Verlag Berlin Heidelberg

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Gabriel, JM. (1997). Towards more collaboration between machine learning systems and their users. In: Plaza, E., Benjamins, R. (eds) Knowledge Acquisition, Modeling and Management. EKAW 1997. Lecture Notes in Computer Science, vol 1319. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0026798

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  • DOI: https://doi.org/10.1007/BFb0026798

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63592-5

  • Online ISBN: 978-3-540-69606-3

  • eBook Packages: Springer Book Archive

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