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Generic support vector machines and Radon's theorem

dc.contributor.authorCarr, Brittany M., author
dc.contributor.authorAdams, Henry, advisor
dc.contributor.authorShipman, Patrick, committee member
dc.contributor.authorFremstad, Anders, committee member
dc.date.accessioned2019-09-10T14:35:26Z
dc.date.available2019-09-10T14:35:26Z
dc.date.issued2019
dc.description.abstractA support vector machine, (SVM), is an algorithm which finds a hyperplane that optimally separates labeled data points in Rn into positive and negative classes. The data points on the margin of this separating hyperplane are called \emph{support vectors}. We study the possible configurations of support vectors for points in general position. In particular, we connect the possible configurations to Radon's theorem, which provides guarantees for when a set of points can be divided into two classes (positive and negative) whose convex hulls intersect. If the positive and negative support vectors in a generic SVM configuration are projected to the separating hyperplane, then these projected points will form a Radon configuration.
dc.format.mediumborn digital
dc.format.mediummasters theses
dc.identifierCarr_colostate_0053N_15483.pdf
dc.identifier.urihttps://hdl.handle.net/10217/197262
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectsupport vector machines
dc.subjectRadon's theorem
dc.titleGeneric support vector machines and Radon's theorem
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineMathematics
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)

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