Trent University Graduate Thesis Collection

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tula:etd
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Collection
Language
eng
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1 item
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Copyright for all items in the Trent University Graduate Thesis Collection is held by the author, with all rights reserved, unless otherwise noted.
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Support Vector Machines for Automated Galaxy Classification

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Year: 2019, 2019
Member of: Trent University Graduate Thesis Collection
Name(s): Creator (cre): Chambers, Cameron Darrin, Thesis advisor (ths): McConnell, Sabine, Thesis advisor (ths): Hurley, Richard, Degree granting institution (dgg): Trent University
Abstract: <p>Support Vector Machines (SVMs) are a deterministic, supervised machine learning algorithm that have been successfully applied to many areas of research. They are heavily grounded in mathematical theory and are effective at processing high-dimensional data. This thesis models a variety of galaxy classification tasks using SVMs and data from the Galaxy Zoo 2 project. SVM parameters were… more
Full Text: Support Vector Machines for Automated Galaxy Classification A Thesis Submitted to the Committee on Graduate Studies in Partial Fulfillment of the Requirements for the Degree of Master of Science in the Faculty of Arts and Science TRENT UNIVERSITY …