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Minimax deviation strategies for machine learning and recognition with short learning samples
The article is devoted to the problem of small learning samples in machine learning.
How to Formulate and Solve Statistical Recognition and Learning Problems
We show that some widely used approaches to recognition and learning are improper in this sense.
M-best solutions for a class of fuzzy constraint satisfaction problems
The article studies the problem of finding d most admissible solutions for a given d. A tractable subclass of these problems is defined by the concepts of invariants and polymorphisms similar to the classic constraint satisfaction approach.
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