@article{6839dd57700a41df941c2a1b57ed181a,
title = "Hyperrelations in version space",
author = "Hui Wang and I D{\"u}ntsch and G Gediga and A Skowron",
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.",
year = "2004",
month = jul,
day = "1",
doi = "10.1016/j.ijar.2003.10.007",
language = "English",
volume = "36",
pages = "223--241",
journal = "International Journal of Approximate Reasoning",
issn = "0888-613X",
publisher = "Elsevier Inc.",
number = "3",
}