Gaussian processes for machine learning

dc.contributor.advisorVitrià i Marca, Jordi
dc.contributor.authorMartínez Canelles, Gerard
dc.date.accessioned2018-05-08T11:04:24Z
dc.date.available2018-05-08T11:04:24Z
dc.date.issued2017-06-28
dc.descriptionTreballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2017, Director: Jordi Vitrià i Marcaca
dc.description.abstract[en] I would like to thank my advisor, Jordi Vitrià Marca, for so much encouragement, support and feedback. Jordi was patient while I spent the first few months chasing half-baked ideas, and then gently suggested a series of notions which worked. It was wonderful working with someone who is always willing to help and whose dedication to science is inspiring.ca
dc.format.extent62 p.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/2445/122184
dc.language.isoengca
dc.rightscc-by-nc-nd (c) Gerard Martínez Canelles, 2017
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es
dc.sourceTreballs Finals de Grau (TFG) - Matemàtiques
dc.subject.classificationAprenentatge automàtic
dc.subject.classificationTreballs de fi de grau
dc.subject.classificationProcessos gaussiansca
dc.subject.classificationAnàlisi de regressióca
dc.subject.classificationComptes bancarisca
dc.subject.otherMachine learning
dc.subject.otherBachelor's theses
dc.subject.otherGaussian processesen
dc.subject.otherRegression analysisen
dc.subject.otherBank accountsen
dc.titleGaussian processes for machine learningca
dc.typeinfo:eu-repo/semantics/bachelorThesisca

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