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Bayesian Boolean Matrix Factorisation

Published in Research Explorer (The University of Manchester) • Jul 17, 2017
Authors:
Tammo Rukat
,
Chris Holmes
,
Michalis K. Titsias

Abstract

Boolean matrix factorisation aims to decompose a binary data matrix into an approximate Boolean product of two low rank, binary matrices: one containing meaningful patterns, the other quantifying how the observations can be expressed as a combination of these patterns. We introduce the OrMachine, a ...

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