Testing the effectiveness of dropout methods for inferencing in data decentralized environments

Additional Metadata
Keywords	Decentralized learning; dropout; uncertainty quantification
Thesis Advisor	Akyuz, MH
Persistent URL	hdl.handle.net/2105/73433
Series	Econometrie
Organisation	Erasmus School of Economics
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Drenth, N.D. (2024, September 18). Testing the effectiveness of dropout methods for inferencing in data decentralized environments. Econometrie. Retrieved from http://hdl.handle.net/2105/73433

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