A Python implementation of graphical models

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dc.contributor.advisorHerbst, B. M.
dc.contributor.authorGouws, Almero
dc.contributor.otherUniversity of Stellenbosch. Faculty of Engineering. Dept. of Electrical and Electronic Engineering.
dc.date.accessioned2010-02-23T15:30:39Zen_ZA
dc.date.accessioned2010-08-13T14:59:31Z
dc.date.available2010-02-23T15:30:39Zen_ZA
dc.date.available2010-08-13T14:59:31Z
dc.date.issued2010-03
dc.descriptionThesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2010.
dc.description.abstractENGLISH ABSTRACT: In this thesis we present GrMPy, a library of classes and functions implemented in Python, designed for implementing graphical models. GrMPy supports both undirected and directed models, exact and approximate probabilistic inference, and parameter estimation from complete and incomplete data. In this thesis we outline the necessary theory required to understand the tools implemented within GrMPy as well as provide pseudo-code algorithms that illustrate how GrMPy is implemented.en
dc.description.abstractAFRIKAANSE OPSOMMING: In hierdie verhandeling bied ons GrMPy aan,'n biblioteek van klasse en funksies wat Python geim- plimenteer word en ontwerp is vir die implimentering van grafiese modelle. GrMPy ondersteun beide gerigte en ongerigte modelle, presies eenbenaderde moontlike gevolgtrekkings en parameterskat- tings van volledige en onvolledige inligting. In hierdie verhandeling beskryf ons die nodige teorie wat benodig word om die hulpmiddels wat binne GrMPy geimplimenteer word te verstaan sowel as die pseudo-kodealgoritmes wat illustreer hoe GrMPy geimplimenteer is.af
dc.format.extent128 p. : ill.
dc.identifier.urihttp://hdl.handle.net/10019.1/4147
dc.language.isoen
dc.publisherStellenbosch : University of Stellenbosch
dc.rights.holderUniversity of Stellenbosch
dc.subjectGraphical modelsen
dc.subjectBayesian networksen
dc.subjectMarkov random fieldsen
dc.subjectDissertations -- Electronic engineeringen
dc.subjectTheses -- Electronic engineeringen
dc.subjectGrMPyen
dc.titleA Python implementation of graphical modelsen
dc.typeThesis
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