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Uporaba metod strojnega učenja pri analizi podatkov, zajetih z detektorjem ATLAS : diplomsko delo
ID Kenda, Klemen (Author), ID Podobnik, Tomaž (Mentor) More about this mentor... This link opens in a new window, ID Gorišek, Andrej (Comentor)

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MD5: 1E30CBC956573E57840A2C8F46341DC2
PID: 20.500.12556/rul/a8356f29-6209-40e3-8d07-3d3e03a6fff1

Language:Slovenian
Keywords:računalništvo, strojno učenje, nadzorovano učenje, klasifikacijske metode, Higgsov bozon
Work type:Undergraduate thesis
Typology:2.11 - Undergraduate Thesis
Organization:FMF - Faculty of Mathematics and Physics
Place of publishing:Ljubljana
Publisher:[K. Kenda]
Year:2016
Number of pages:VII, 58 str.
PID:20.500.12556/RUL-97503 This link opens in a new window
UDC:004.8
COBISS.SI-ID:3009380 This link opens in a new window
Publication date in RUL:26.10.2017
Views:4184
Downloads:590
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KENDA, Klemen, 2016, Uporaba metod strojnega učenja pri analizi podatkov, zajetih z detektorjem ATLAS : diplomsko delo [online]. Bachelor’s thesis. Ljubljana : K. Kenda. [Accessed 2 June 2025]. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=97503
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Language:English
Keywords:computer science, machine learning, supervised learning, classification methods, Higgs boson

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