{"title":"Composite Surrogate for Likelihood-Free Bayesian Optimisation in High-Dimensional Settings of Activity-Based Transportation Models","authors":"Vladimir Kuzmanovski, Jaakko Hollmén","doi":"10.1007/978-3-030-74251-5_14","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":91439,"journal":{"name":"Advances in intelligent data analysis. International Symposium on Intelligent Data Analysis","volume":"35 2","pages":"171-183"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in intelligent data analysis. International Symposium on Intelligent Data Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/978-3-030-74251-5_14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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