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Neutrosophic computing and machine learning.

Gale Academic OneFile Available from 03/01/2018 volume: 1. Available online

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Informe Académico Available from 03/01/2018 volume: 1. Available online

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Format:
Journal/Periodical
Contributor:
University of New Mexico.
Neutrosophic Science International Association.
Asociación Latinoamericana de Ciencias Neutrosóficas.
Language:
Spanish
Subjects (All):
Logic, Symbolic and mathematical--Periodicals.
Logic, Symbolic and mathematical.
Logic--Miscellanea.
Logic.
Machine learning--Periodicals.
Machine learning.
Genre:
Trivia and miscellanea.
Periodicals.
Physical Description:
Quarterly
Began with: Vol. 01 (2018).
Other Title:
NCML
Place of Publication:
Gallup, New Mexico : University of New Mexico and Neutrosophic Science International Association, [2018]-
Language Note:
Text in Spanish.
Summary:
Neutrosophic Computing and Machine Learning (NCML) is an academic journal that has been created for publications of advanced studies in neutrosophy, neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics, neutrosophic approaches to machine learning etc. and their applications in any field.
Notes:
The NCML international journal is funded by the University of New Mexico, Neutrosophic Science International Association and its branch Asociación Latinoamericana de Ciencia.
Description based on: Vol. 01 (2018); title from pdf cover image (fs.gallup.unm.edu website, viewed Mar. 7, 2019).
Latest issue consulted: Vol. 05 (2019) (viewed Mar. 7, 2019).
ISSN:
2574-1101
OCLC:
999821274

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