115, [10] listova 3005214 bytes Algoritmi za brzo aproksimativno spektralno učenje srp 2021 Todorović, Branimir, 1967- Ćirić, Miroslav Ognjanović, Zoran Janković, Dragan Petković, Marko http://creativecommons.org/licenses/by-nc-nd/3.0/at/legalcode This thesis presents learning algorithms which use theinformation stored in the spectrum (eigenvalues andeigenvectors) of a matrix derived from the input set. Matricesin question are graph matrices or kernel matrices. However, thealgorithms which use these matrices have either a quadratic orcubic time complexity and quadratic memory complexity.Therefore, in this thesis the algorithms will be presented thatapproximate those matrices and reduce the time and memorycomplexity to the linear one. Also, these algorithms will becompared with the other algorithms that solve this problem, andtheir empirical and theoretical analysis will be presented. Biobibliografija: list. 114-115;Bibliografija: list. 108-113. Datum odbrane: Artificial Intelligence; Machine Learning info:eu-repo/semantics/bachelorThesis Trokicić, Aleksandar B., 1989- https://phaidrani.ni.ac.rs/o:1790 cobiss:56370441 thesis:8522