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A Python implementation of graphical models
Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2010.
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| Format: | Thesis |
| Language: | English |
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Stellenbosch : University of Stellenbosch
2010
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| _version_ | 1867613952042598400 |
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| access_status_str | Open Access |
| author | Gouws, Almero |
| author2 | Herbst, B. M. |
| author_browse | Gouws, Almero Herbst, B. M. |
| author_facet | Herbst, B. M. Gouws, Almero |
| author_sort | Gouws, Almero |
| collection | Thesis |
| dc_rights_str_mv | University of Stellenbosch |
| description | Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2010. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/4147 |
| institution | Stellenbosch University (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:44:18.862Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2010 |
| publishDateRange | 2010 |
| publishDateSort | 2010 |
| publisher | Stellenbosch : University of Stellenbosch |
| publisherStr | Stellenbosch : University of Stellenbosch |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/4147 A Python implementation of graphical models Gouws, Almero Herbst, B. M. University of Stellenbosch. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. Graphical models Bayesian networks Markov random fields Dissertations -- Electronic engineering Theses -- Electronic engineering GrMPy Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2010. ENGLISH 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. AFRIKAANSE 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. 2010-02-23T15:30:39Z 2010-08-13T14:59:31Z 2010-02-23T15:30:39Z 2010-08-13T14:59:31Z 2010-03 Thesis http://hdl.handle.net/10019.1/4147 en University of Stellenbosch 128 p. : ill. application/pdf Stellenbosch : University of Stellenbosch |
| spellingShingle | Graphical models Bayesian networks Markov random fields Dissertations -- Electronic engineering Theses -- Electronic engineering GrMPy Gouws, Almero A Python implementation of graphical models |
| title | A Python implementation of graphical models |
| title_full | A Python implementation of graphical models |
| title_fullStr | A Python implementation of graphical models |
| title_full_unstemmed | A Python implementation of graphical models |
| title_short | A Python implementation of graphical models |
| title_sort | python implementation of graphical models |
| topic | Graphical models Bayesian networks Markov random fields Dissertations -- Electronic engineering Theses -- Electronic engineering GrMPy |
| url | http://hdl.handle.net/10019.1/4147 |
| work_keys_str_mv | AT gouwsalmero apythonimplementationofgraphicalmodels AT gouwsalmero pythonimplementationofgraphicalmodels |