<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-S94C5W71</identifier><date>2022</date><creator>Reja, Dimitrij</creator><relation>documents/doc/S/URN_NBN_SI_doc-S94C5W71_001.pdf</relation><relation>documents/doc/S/URN_NBN_SI_doc-S94C5W71_001.txt</relation><format format_type="issue">1/2</format><format format_type="volume">32</format><format format_type="type">article</format><format format_type="extent">str. 147-154</format><identifier identifier_type="ISSN">1318-0134</identifier><identifier identifier_type="COBISSID">161179139</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-S94C5W71</identifier><language>slv</language><publisher publisher_location="Trieste">Alma Mater Europaea - ECM</publisher><publisher publisher_location="Trieste">International Institute for Archival Science</publisher><source>Atlanti</source><rights>InC</rights><subject language_type_id="slv">algoritmi</subject><subject language_type_id="slv">arhivi</subject><subject language_type_id="slv">arhivistika</subject><subject language_type_id="slv">strojno učenje</subject><title>A review of machine learning algorithms for archival applications</title></Record>