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"Machine Learning Could be Easier if All Data Were MNIST."

Toshitaka Hayashi, Dalibor Cimr, Richard Cimler (2023)

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DOI: 10.3233/FAIA230234

access: closed

type: Conference or Workshop Paper

metadata version: 2023-10-27

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  dblp key:
  - conf/somet/HayashiCC23
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  - https://dblp.org/rec/conf/somet/HayashiCC23
Toshitaka Hayashi, Dalibor Cimr, Richard Cimler:
Machine Learning Could be Easier if All Data Were MNIST. SoMeT 2023: 185-194

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