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Recent advances of statistics in computational intelligence (RASCI)

Version 2 2024-06-06, 09:46
Version 1 2018-04-23, 16:13
journal contribution
posted on 2024-06-06, 09:46 authored by H Dai, Muhammed J. A. Patwary1, James N. K. Liu
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.

History

Journal

International Journal Machine Learning and Cybernetics

Volume

9

Pagination

1-3

Location

Berlin, Germany

Open access

  • Yes

ISSN

1868-8071

eISSN

1868-808X

Language

eng

Publication classification

X Not reportable, CN Other journal article

Issue

1

Publisher

Springer Berlin Heidelberg

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