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Částečně řízené učení algoritmů strojového učení (semi-supervised learning)

The final thesis summarizes in its theoretical part basic knowledge of machine learning algorithms that involves supervised, semi-supervised, and unsupervised learning. Experiments with textual data in natural spoken language involving different machine learning methods and parameterization are carried out in its practical part. Conclusions made in the thesis may be of use to individuals that are at least slightly interested in this domain.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:178641
Date January 2014
CreatorsBurda, Karel
Source SetsCzech ETDs
LanguageCzech
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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