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Robust cutpoints in the logical analysis of numerical data

By Martin Anthony and Joel Ratsaby

Abstract

Techniques for the logical analysis of binary data have successfully been applied to non-binary data which has been ‘binarized’ by means of cutpoints; see Boros et al. (1997, 2000) [7] and [8]. In this paper, we analyze the predictive performance of such techniques and, in particular, we derive generalization error bounds that depend on how ‘robust’ the cutpoints are

Topics: QA Mathematics
Publisher: Elsevier
Year: 2012
DOI identifier: 10.1016/j.dam.2011.07.014
OAI identifier: oai:eprints.lse.ac.uk:36129
Provided by: LSE Research Online
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