Optimal Quantization to Improve the Quality of Binary Classifiers

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Bibliographic Details
Date:2013
Main Authors: N. B. Paklin, V. V. Afanasev
Format: Article
Language:English
Published: 2013
Series:Artificial intelligence
Online Access:http://jnas.nbuv.gov.ua/article/UJRN-0000357664
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Journal Title:Library portal of National Academy of Sciences of Ukraine | LibNAS

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Library portal of National Academy of Sciences of Ukraine | LibNAS
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spelling open-sciencenbuvgovua-841512024-04-16T18:36:42Z Optimal Quantization to Improve the Quality of Binary Classifiers N. B. Paklin V. V. Afanasev 2710-1673 2013 en Artificial intelligence http://jnas.nbuv.gov.ua/article/UJRN-0000357664 Article
institution Library portal of National Academy of Sciences of Ukraine | LibNAS
collection Open-Science
language English
series Artificial intelligence
spellingShingle Artificial intelligence
N. B. Paklin
V. V. Afanasev
Optimal Quantization to Improve the Quality of Binary Classifiers
format Article
author N. B. Paklin
V. V. Afanasev
author_facet N. B. Paklin
V. V. Afanasev
author_sort N. B. Paklin
title Optimal Quantization to Improve the Quality of Binary Classifiers
title_short Optimal Quantization to Improve the Quality of Binary Classifiers
title_full Optimal Quantization to Improve the Quality of Binary Classifiers
title_fullStr Optimal Quantization to Improve the Quality of Binary Classifiers
title_full_unstemmed Optimal Quantization to Improve the Quality of Binary Classifiers
title_sort optimal quantization to improve the quality of binary classifiers
publishDate 2013
url http://jnas.nbuv.gov.ua/article/UJRN-0000357664
work_keys_str_mv AT nbpaklin optimalquantizationtoimprovethequalityofbinaryclassifiers
AT vvafanasev optimalquantizationtoimprovethequalityofbinaryclassifiers
first_indexed 2025-07-22T10:12:39Z
last_indexed 2025-07-22T10:12:39Z
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