Alan Lawrence 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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The theoretical relevance of OBE research

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Alan Cowey

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Alan Baddeley

Alan Baddeley is Professor of Psychology at the University of York and a Fellow of the Royal Society and the British Academy. He studied psychology at University College London and Princeton before doing a PhD at the MRC Applied Psychology Unit in Cambridge, where he spent much of his career as Director. His interests are in human memory, and in particular in working memory, a system for keepin...

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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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ژورنال

عنوان ژورنال: Evidence-Based Dentistry

سال: 2009

ISSN: 1462-0049,1476-5446

DOI: 10.1038/sj.ebd.6400660