{"title":"Concurrent Learning of Large-Scale Random Forests","authors":"Henrik Boström","doi":"10.3233/978-1-60750-754-3-20","DOIUrl":null,"url":null,"abstract":"The random forest algorithm belongs to the class of ensemble learning methods that are embarassingly parallel, i.e., the learning task can be straightforwardly divided into subtasks that can be sol ...","PeriodicalId":322432,"journal":{"name":"Scandinavian Conference on AI","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scandinavian Conference on AI","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/978-1-60750-754-3-20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20
Abstract
The random forest algorithm belongs to the class of ensemble learning methods that are embarassingly parallel, i.e., the learning task can be straightforwardly divided into subtasks that can be sol ...
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