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undergraduate thesis
Implementacija i analiza algoritma stroja potpornih vektora
2022. urn:nbn:hr:168:054420
Krsnik, Lea
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Krsnik, L. (2022). Implementacija i analiza algoritma stroja potpornih vektora (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:054420

Krsnik, Lea. "Implementacija i analiza algoritma stroja potpornih vektora." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:054420

Krsnik, Lea. "Implementacija i analiza algoritma stroja potpornih vektora." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:054420

Krsnik, L. (2022). 'Implementacija i analiza algoritma stroja potpornih vektora', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 11 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:054420

Krsnik L. Implementacija i analiza algoritma stroja potpornih vektora [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 April 11] Available at: https://urn.nsk.hr/urn:nbn:hr:168:054420

L. Krsnik, "Implementacija i analiza algoritma stroja potpornih vektora", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:054420

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Metadata
TitleImplementacija i analiza algoritma stroja potpornih vektora
Title (english)Implementation and analysis of the support vector machine algorithm
AuthorLea Krsnik
MentorJan Šnajder (mentor)
Committee memberJan Šnajder (predsjednik povjerenstva)
Committee memberJosip Jukić (član povjerenstva)
Committee memberFilip Karlo Došilović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-01, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Algoritam stroja potpornih vektora je jednostavan, ali iznimno korišten algoritam strojnog učenja. Fokus istraživačke zajednice većinski je usmjeren na njegovu dualnu formulaciju. U ovom radu prezentirana je njegova primarna formulacija i razmotrene su njezine prednosti. Analizirana su dva optimizacijska algoritma primarne formulacije te je dana njihova usporedba s postojećim implementacijama temeljenim na dualnoj formulaciji.
Abstract (english)
Support vector machine is simple, yet effective and widely used machine learning algorithm. Throughout the years, researchers have neglected its primal formulation and focused mostly on optimising its dual formulation. In this thesis, we have analysed the primal formulation and its advantages. Furthermore, two optimisation algorithms for primal formulation were analysed, implemented and compared with existing implementations based on dual formulation.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:054420
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-15 10:38:00