Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2012, Issue 3, Pages 71–81 (Mi iipr441)  
Decision support methods

A classification model on the basis of partial information about features in the form of their mean values

L. V. Utkin, Yu. A. Zhuk, I. A. Selihovkin

Saint-Petersburg State Forest Academy
Full-text PDF (350 kB)
Abstract: A classification model under partial information in the form of expectations of features is proposed. It is based on the minimax and minimin decision strategies. The discriminant function is computed by maximizing (minimizing) the risk functional as a measure of classification error over a set of probability distributions with bounds determined by the information about features, and its minimizing over a set of parameters. An algorithm is reduced to the parametric linear programming.
Keywords: classification, machine learning, linear programming, risk functional, loss function, expectation, minimax strategy.
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: L. V. Utkin, Yu. A. Zhuk, I. A. Selihovkin, “A classification model on the basis of partial information about features in the form of their mean values”, Artificial Intelligence and Decision Making, 2012, no. 3, 71–81
Citation in format AMSBIB
\Bibitem{UtkZhuSel12}
\by L.~V.~Utkin, Yu.~A.~Zhuk, I.~A.~Selihovkin
\paper A classification model on the basis of partial information about features in the form of their mean values
\jour Artificial Intelligence and Decision Making
\yr 2012
\issue 3
\pages 71--81
\mathnet{http://mi.mathnet.ru/iipr441}
\elib{https://elibrary.ru/item.asp?id=18950507}
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