{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T01:57:37Z","timestamp":1772243857439,"version":"3.50.1"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"abstract":"<jats:p>We introduce a family of positive definite kernels specifically designed for problems described by categorical information. The kernels are based on the comparison of the probability mass function of the variables and have a clear interpretation in terms of similarity computations between the modalities.<\/jats:p>","DOI":"10.3233\/978-1-61499-320-9-171","type":"book-chapter","created":{"date-parts":[[2025,2,24]],"date-time":"2025-02-24T06:58:24Z","timestamp":1740380304000},"source":"Crossref","is-referenced-by-count":1,"title":["Kernel Functions for Categorical Variables with Application to Problems in the Life Sciences"],"prefix":"10.3233","author":[{"family":"Belanche Llu&iacute;s A.","sequence":"additional","affiliation":[]},{"family":"Villegas Marco A.","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Artificial Intelligence Research and Development"],"original-title":[],"deposited":{"date-parts":[[2025,2,24]],"date-time":"2025-02-24T07:03:56Z","timestamp":1740380636000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISSNISBN&issn=0922-6389&volume=256&spage=171"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-320-9-171","relation":{"is-cited-by":[{"id-type":"doi","id":"10.2196\/preprints.25187","asserted-by":"object"}]},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2013]]}}}