Please use this identifier to cite or link to this item: https://hdl.handle.net/10923/15379
Full metadata record
DC FieldValueLanguage
dc.contributor.authorStephan Chang-
dc.contributor.authorFelipe Rech Meneguzzi-
dc.date.accessioned2019-09-09T17:21:51Z-
dc.date.available2019-09-09T17:21:51Z-
dc.date.issued2017-
dc.identifier.urihttp://hdl.handle.net/10923/15379-
dc.language.isoen-
dc.relation.ispartofProceedings of the 30th Florida Artificial Intelligence Research Society Conference, 2017, Estados Unidos.-
dc.rightsopenAccess-
dc.titleForecasting demand with limited information using Gradient Tree Boosting-
dc.typeconferenceObject-
dc.date.updated2019-09-09T17:21:50Z-
Appears in Collections:Apresentação em Evento

Files in This Item:
File Description SizeFormat 
Forecasting_demand_with_limited_information_using_Gradient_Tree_Boosting.pdf1,23 MBAdobe PDFOpen
View


All Items in PUCRS Repository are protected by copyright, with all rights reserved, and are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. Read more.