Hyperrelations in version space

H Wang; I Düntsch; G Gediga; A Skowron

doi:10.1016/j.ijar.2003.10.007

Hyperrelations in version space

H Wang, I Düntsch, G Gediga, A Skowron

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	223-241
Journal	International Journal of Approximate Reasoning
Volume	36
Issue number	3
DOIs	https://doi.org/10.1016/j.ijar.2003.10.007
Publication status	Published (in print/issue) - 1 Jul 2004

Bibliographical note

Other Details
------------------------------------
Version space is a machine learning paradigm developed in the 1990s, but its expressive power is limited, and thus its applicability restricted. This paper presents a version space in a much more expressive hypothesis space, where a hypothesis is a set of hypertuples that together is maximal and consistent with given data. The set of all such hypotheses is a generalised version space. Evaluations show that the generalised version space compares favourably with the state-of-the-art classifiers. The hypertuple concept has become a general knowledge representation scheme, and has been used in some later publications by the authors.

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10.1016/j.ijar.2003.10.007

Cite this

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title = "Hyperrelations in version space",

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