Optimal Quantization to Improve the Quality of Binary Classifiers

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Datum:2013
Hauptverfasser: N. B. Paklin, V. V. Afanasev
Format: Artikel
Sprache:Englisch
Veröffentlicht: 2013
Schriftenreihe:Artificial intelligence
Online Zugang:http://jnas.nbuv.gov.ua/article/UJRN-0000357664
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Назва журналу: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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author N. B. Paklin
V. V. Afanasev
author_facet N. B. Paklin
V. V. Afanasev
author_sort N. B. Paklin
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institution 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
spellingShingle Artificial intelligence
N. B. Paklin
V. V. Afanasev
Optimal Quantization to Improve the Quality of Binary Classifiers
title 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_short Optimal Quantization to Improve the Quality of Binary Classifiers
title_sort optimal quantization to improve the quality of binary classifiers
url http://jnas.nbuv.gov.ua/article/UJRN-0000357664
work_keys_str_mv AT nbpaklin optimalquantizationtoimprovethequalityofbinaryclassifiers
AT vvafanasev optimalquantizationtoimprovethequalityofbinaryclassifiers