Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Zh. Vychisl. Mat. Mat. Fiz.:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki, 1977, Volume 17, Number 5, Pages 1267–1277 (Mi zvmmf8281)  

This article is cited in 1 scientific paper (total in 1 paper)

A parametric family of statistical recognition algorithms

Bak Hyng Khang

Hanoi – Moscow
Received: 27.04.1976
English version:
USSR Computational Mathematics and Mathematical Physics, 1977, Volume 17, Issue 5, Pages 163–173
DOI: https://doi.org/10.1016/0041-5553(77)90018-0
Bibliographic databases:
Document Type: Article
UDC: 519.95
MSC: Primary 68T10; Secondary 68W99, 90C99
Language: Russian
Citation: Bak Hyng Khang, “A parametric family of statistical recognition algorithms”, Zh. Vychisl. Mat. Mat. Fiz., 17:5 (1977), 1267–1277; U.S.S.R. Comput. Math. Math. Phys., 17:5 (1977), 163–173
Citation in format AMSBIB
\Bibitem{Bac77}
\by Bak Hyng Khang
\paper A parametric family of statistical recognition algorithms
\jour Zh. Vychisl. Mat. Mat. Fiz.
\yr 1977
\vol 17
\issue 5
\pages 1267--1277
\mathnet{http://mi.mathnet.ru/zvmmf8281}
\zmath{https://zbmath.org/?q=an:0404.68088}
\transl
\jour U.S.S.R. Comput. Math. Math. Phys.
\yr 1977
\vol 17
\issue 5
\pages 163--173
\crossref{https://doi.org/10.1016/0041-5553(77)90018-0}
Linking options:
  • https://www.mathnet.ru/eng/zvmmf8281
  • https://www.mathnet.ru/eng/zvmmf/v17/i5/p1267
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Журнал вычислительной математики и математической физики Computational Mathematics and Mathematical Physics
    Statistics & downloads:
    Abstract page:121
    Full-text PDF :68
    First page:1
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024