54826

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

A procedura for classifying objects with a semantic hierarchy of featurea

ISBN/ISSN: 

0005-1179

DOI: 

10.1134/S0005117919110080

Наименование источника: 

  • Automation and Remote Control

Обозначение и номер тома: 

Vol. 80, No 11

Город: 

  • Москва

Издательство: 

  • Pleiades Publishing, Ltd.

Год издания: 

2019

Страницы: 

1997–2008
Аннотация
Abstract—A procedure for classifying objects with a hierarchical structure of relations (se- mantics) of features that takes into account their modalities is proposed. The concepts of semantics of features and their modalities are explained prior to the description of this pro- cedure. A three-level model with a semantic hierarchy of features (objects—meta-features— subfeatures of objects) is considered. Meta-features are interpreted as semantic generalizations of the related subfeatures of objects. An important stage of the proposed procedure is the aggregation of the lower level subfeatures, taking into account their semantic connection with the meta-features. Aggregation leads to a significant reduction in the dimension of the original classification problem, which is now solved in terms of values of the aggregation function. As an example, the Dermatology sample from the well-known UCI Machine Learning repository is considered. This example shows that despite a considerable imbalance of the Dermatology sam- ple, the results yielded by the proposed procedure are quite comparable with the best results of some well-known algorithms obtained on this sample.

Библиографическая ссылка: 

Корноушенко Е.К. A procedura for classifying objects with a semantic hierarchy of featurea // Automation and Remote Control. 2019. Vol. 80, No 11. С. 1997–2008.

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