dc.contributor.advisor | Kracík, Jan | |
dc.contributor.author | Nguyen, Sinh Xuan | |
dc.date.accessioned | 2020-10-02T09:27:56Z | |
dc.date.available | 2020-10-02T09:27:56Z | |
dc.date.issued | 2020 | |
dc.identifier.other | OSD002 | |
dc.identifier.uri | http://hdl.handle.net/10084/142071 | |
dc.description.abstract | Supervised learning is an important problem in machine learning. In this thesis, we focus
on probabilistic classification based on linear models and mixture models to find the ones that
are the most suitable for the given data. | en |
dc.description.abstract | Supervised learning is an important problem in machine learning. In this thesis, we focus
on probabilistic classification based on linear models and mixture models to find the ones that
are the most suitable for the given data. | cs |
dc.format.extent | 2346935 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.publisher | Vysoká škola báňská – Technická univerzita Ostrava | cs |
dc.subject | Keywords: probabilistic classification, bayesian statistics, linear model, mixture model. | en |
dc.subject | Keywords: probabilistic classification, bayesian statistics, linear model, mixture model. | cs |
dc.title | Probabilistic Classifiers | en |
dc.title.alternative | Pravděpodobnostní klasifikátory | cs |
dc.type | Diplomová práce | cs |
dc.contributor.referee | Domesová, Simona | |
dc.date.accepted | 2020-08-20 | |
dc.thesis.degree-name | Ing. | |
dc.thesis.degree-level | Magisterský studijní program | cs |
dc.thesis.degree-grantor | Vysoká škola báňská – Technická univerzita Ostrava. Fakulta elektrotechniky a informatiky | cs |
dc.description.department | 470 - Katedra aplikované matematiky | cs |
dc.thesis.degree-program | Informační a komunikační technologie | cs |
dc.thesis.degree-branch | Výpočetní matematika | cs |
dc.description.result | dobře | cs |
dc.identifier.sender | S2724 | |
dc.identifier.thesis | NGU0099_FEI_N2647_1103T031_2020 | |
dc.rights.access | openAccess | |