{"title":"LEARNING THE STRUCTURE OF BAYESIAN NETWORKS FROM INCOMPLETE DATA USING A MIXTURE MODEL","authors":"Issam Salman, Jirka Vomlel","doi":"10.31449/inf.v47i1.4497","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":56292,"journal":{"name":"Informatica","volume":" ","pages":""},"PeriodicalIF":3.3000,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Informatica","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.31449/inf.v47i1.4497","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
期刊介绍：
The quarterly journal Informatica provides an international forum for high-quality original research and publishes papers on mathematical simulation and optimization, recognition and control, programming theory and systems, automation systems and elements. Informatica provides a multidisciplinary forum for scientists and engineers involved in research and design including experts who implement and manage information systems applications.
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