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Published in: International Journal of Machine Learning and Cybernetics 1/2018

18-12-2017 | Editorial

Recent advances of statistics in computational intelligence (RASCI)

Authors: Muhammed J. A. Patwary, James N. K. Liu, Honghua Dai

Published in: International Journal of Machine Learning and Cybernetics | Issue 1/2018

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Excerpt

Computational intelligence is usually considered to be the capability of a computer to learn a specific task from data or experimental observation. Computational intelligence plays a pivotal role in solving real-world complex problems. One of the main objectives of computational intelligence models is to discover the statistical disciplines hidden in the data sets. The most significant theoretical fundamental in developing different computational intelligence models is considered to be statistical analysis. There is a continuous scientific attempt to get better approaching into the cryptic information underneath the huge stack of statistical model and data that we come across to solve a specific problem. As a result, there has been a major change towards quantitative analysis of statistical methods as well as data through various computational approaches. …

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Metadata
Title
Recent advances of statistics in computational intelligence (RASCI)
Authors
Muhammed J. A. Patwary
James N. K. Liu
Honghua Dai
Publication date
18-12-2017
Publisher
Springer Berlin Heidelberg
Published in
International Journal of Machine Learning and Cybernetics / Issue 1/2018
Print ISSN: 1868-8071
Electronic ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-017-0754-9

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