39894

Автор(ов): 

2

Параметры публикации
Тип публикации: 
Статья в журнале/сборнике
Название: 
The Contrast Features Selection with Empirical Data
ISBN/ISSN: 
ISSN 0005-1179
Наименование источника: 
Automation and Remote Control
Обозначение и номер тома: 
Vol. 77, No. 12
Город: 
Москва
Издательство: 
Pleiades Publishing, Ltd.
Год издания: 
2016
Страницы: 
2212–2226
Аннотация
The problem of selection the most informative features is reduced to an optimization problem for the average risk functional whose maximization is equivalent to maximization of informational distance between distributions of features in two classes. We consider a maximization procedure for the average risk functional via empirical risk, estimating the divergence between them, with Rademacher complexity. The proposed method has been applied efficiently to problems of selection parameters important to separate the states of technological processes. We show an experimental comparison of the developed approach with other widely known feature selection techniques.
Библиографическая ссылка: 
Цурко В.В., Михальский А.И. The Contrast Features Selection with Empirical Data // Automation and Remote Control. 2016. Vol. 77, No. 12. С. 2212–2226.
Публикация имеет версию на другом языке: 
Да