Minimax deviation strategies for machine learning and recognition with short learning samples
classification
💻 cs.LG
keywords
learningminimaxdeviationflawsmachinesamplesarticleconcept
read the original abstract
The article is devoted to the problem of small learning samples in machine learning. The flaws of maximum likelihood learning and minimax learning are looked into and the concept of minimax deviation learning is introduced that is free of those flaws.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.