James (Jim) Archibald Thomson Dyer, OBE, FRCPsych, FRSA, OBE

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OBE: Outlier by Example

Outlier detection in large datasets is an important problem. There are several recent approaches that employ very reasonable definitions of an outlier. However, a fundamental issue is that the notion of which objects are outliers typically varies between users or, even, datasets. In this paper, we present a novel solution to this problem, by bringing users into the loop. Our OBE (Outlier By Exa...

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Novel blind variants of the OBE algorithm

Set-membership algorithms, including the conventional optimal bounding ellipsoid (OBE) algorithm, require a priori knowledge of exact error bounds which is unknown in most applications. Conservative (over-estimated) error bounds used in practice lead to inconsistent parameter estimation. The novel OBE algorithm with automatic bound estimation (OBE-ABE) is shown to be consistently convergent wit...

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Performance Studies on a \ Quasi - OBE " Algorithm for Real - time

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ژورنال

عنوان ژورنال: BJPsych Bulletin

سال: 2019

ISSN: 2056-4694,2056-4708

DOI: 10.1192/bjb.2019.44