<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-9LB41953</identifier><date>2023</date><creator>Karim, Rezaul</creator><relation>documents/doc/9/URN_NBN_SI_doc-9LB41953_001.pdf</relation><relation>documents/doc/9/URN_NBN_SI_doc-9LB41953_001.txt</relation><format format_type="volume">47</format><format format_type="issue">8</format><format format_type="type">article</format><format format_type="extent">str. 1-12</format><identifier identifier_type="DOI">10.31449/inf.v47i8.4767</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">208431107</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-9LB41953</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">funkcija podobnosti</subject><subject language_type_id="slv">linearno programiranje</subject><subject language_type_id="slv">metoda podpornih vektorjev</subject><subject language_type_id="slv">optimizacija</subject><subject language_type_id="slv">strojno učenje</subject><subject language_type_id="slv">učinkovitost</subject><subject language_type_id="slv">umetna inteligenca</subject><title>LP SVM with a novel similarity function outperforms powerful LP-QP-kernel-SVM considering efficient classification</title></Record>