Machine Learning Could be Easier if All Data Were MNIST

Toshitaka Hayashi, Dalibor Cimr, Richard Cimler. Machine Learning Could be Easier if All Data Were MNIST. In Hamido Fujita, Guido Guizzi, editors, New Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 22nd International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques (SoMeT 23), Naples, Italy, 20-22 September 2023. Volume 371 of Frontiers in Artificial Intelligence and Applications, pages 185-194, IOS Press, 2023. [doi]

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