Discriminant Functions Quality Estimation on the Basis of Training and Testing Samples
The way of comparison of discriminant functions with dividing samples observations on training and testing subsamples is proved. Conditions of existence of optimum set of features which depend on parameters of general sets and volumes samples are received. Laws of simplification of optimum discrimin...
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| Date: | 2012 |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Міжнародний науково-навчальний центр інформаційних технологій і систем НАН та МОН України
2012
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| Series: | Індуктивне моделювання складних систем |
| Online Access: | http://dspace.nbuv.gov.ua/handle/123456789/45954 |
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| Journal Title: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Cite this: | Discriminant Functions Quality Estimation on the Basis of Training and Testing Samples / A. Sarychev, L. Sarycheva // Індуктивне моделювання складних систем: Зб. наук. пр. — К.: МННЦ ІТС НАН та МОН України, 2012. — Вип. 4. — С. 21-27. — Бібліогр.: 7 назв. — англ. |
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Digital Library of Periodicals of National Academy of Sciences of Ukraine| Summary: | The way of comparison of discriminant functions with dividing samples observations on training and testing subsamples is proved. Conditions of existence of optimum set of features which depend on parameters of general sets and volumes samples are received. Laws of simplification of optimum discriminant function at decrease of volumes samples and at increase of dispersions of features are revealed. |
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