diplomsko delo
Klemen Kenda (Author), Tomaž Podobnik (Mentor), Andrej Gorišek (Co-mentor)

Abstract

Uporaba metod strojnega učenja pri analizi podatkov, zajetih z detektorjem ATLAS

Keywords

računalništvo;strojno učenje;nadzorovano učenje;klasifikacijske metode;Higgsov bozon;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UL FMF - Faculty of Mathematics and Physics
Publisher: [K. Kenda]
UDC: 004.8
COBISS: 3009380 Link will open in a new window
Views: 957
Downloads: 478
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Other data

Secondary language: English
Secondary keywords: computer science;machine learning;supervised learning;classification methods;Higgs boson;
Type (COBISS): Undergraduate thesis
Thesis comment: Univ. v Ljubljani, Fak. za matematiko in fiziko, Oddelek za fiziko
Pages: VII, 58 str.
ID: 10911729