49081

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Estimating the Probability of a Class at a Point by the Approximation of One Discriminant Function

ISBN/ISSN: 

0005-1179 (Print) 1608-3032 (Online)

DOI: 

10.1134/S0005117918090047

Наименование источника: 

  • Automation and Remote Control

Обозначение и номер тома: 

Volume 79, Issue 9

Город: 

  • Москва

Издательство: 

  • Pleiades Publishing, Ltd

Год издания: 

2018

Страницы: 

1582–1592
Аннотация
We propose a method for estimating the posterior probability of a class at a given point by approximating a discriminant function that takes a zero value at this point. The approximation is based on a supervised training set. Posterior probabilities of classes allow the classification problem to be solved simultaneously for different criteria and different costs of classification errors. The method is based on choosing such a ratio of the costs of classification errors in the construction of an approximation to the discriminant function that the approximation takes the zero value at a given point. We give a model example and an example with real data from the field of medical diagnostics.

Библиографическая ссылка: 

Зенков В.В. Estimating the Probability of a Class at a Point by the Approximation of One Discriminant Function // Automation and Remote Control. 2018. Volume 79, Issue 9. С. 1582–1592.

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