{"title":"FOLD-R++: A Scalable Toolset for Automated Inductive Learning of Default Theories from Mixed Data","authors":"Huaduo Wang, G. Gupta","doi":"10.1007/978-3-030-99461-7_13","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":258363,"journal":{"name":"Fuji International Symposium on Functional and Logic Programming","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fuji International Symposium on Functional and Logic Programming","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/978-3-030-99461-7_13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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