<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-OP5HS3HX</identifier><date>2021</date><creator>Frissou, Nadjet</creator><creator>Kimour, Mohamed Tahar</creator><creator>Selmane, Schehrazad</creator><relation>documents/doc/O/URN_NBN_SI_doc-OP5HS3HX_001.pdf</relation><relation>documents/doc/O/URN_NBN_SI_doc-OP5HS3HX_001.txt</relation><format format_type="volume">45</format><format format_type="issue">7</format><format format_type="type">article</format><format format_type="extent">str. 83-88</format><identifier identifier_type="ISSN">0350-5596</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID_HOST">92860675</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-OP5HS3HX</identifier><language>eng</language><publisher>Slovensko društvo Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">algoritmi</subject><subject language_type_id="slv">evolucijski algoritmi</subject><subject language_type_id="slv">kožne bolezni</subject><subject language_type_id="slv">napovedovanje</subject><subject language_type_id="slv">strojno učenje</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Optimized support vector regression for predicting Leishmaniasis incidences</title></Record>