Doing more with less: characterizing dataset downsampling for AutoML

Doing more with less: characterizing dataset downsampling for AutoML

<jats:p>Automated machine learning (AutoML) promises to democratize machine learning by automatically generating machine learning pipelines with little to no user intervention. Typically, a search procedure is used to repeatedly generate and validate candidate pipelines, maximizing a predictiv...

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Bibliographic Details
Main Authors: Zogaj, Fatjon, Cambronero, José Pablo, Rinard, Martin C, Cito, Jürgen
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: VLDB Endowment 2022
Online Access:https://hdl.handle.net/1721.1/143854

Internet

https://hdl.handle.net/1721.1/143854

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