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Machine learning via transitions

Van Rooyen, Brendan

Description

This thesis presents a clear conceptual basis for theoretically studying machine learning problems. Machine learning methods afford means to automate the discovery of relationships in data sets. A relationship between quantities X and Y allows the prediction of one quantity given information of the other. It is these relationships that we make the central object of study. We call these relationships transitions. A transition from a set X to a set Y is a function from X into the probability...[Show more]

CollectionsOpen Access Theses
Date published: 2015
Type: Thesis (PhD)
URI: http://hdl.handle.net/1885/99588
DOI: 10.25911/5d690a4044d0e

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