PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Robust Cutpoints in the Logical Analysis of Numerical Data
Martin Anthony and Joel Ratsaby
(2010) Technical Report. RUTCOR, Rutgers University, New Jersey.

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~\cite{LAND,ILAD}. In this paper, we analyse the predictive performance of such techniques and, in particular, we derive generalization error bounds that depend on how `robust' the cutpoints are.

EPrint Type:Monograph (Technical Report)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Theory & Algorithms
ID Code:7734
Deposited By:Martin Anthony
Deposited On:17 March 2011

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