Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Niam Abdulmunim Al-Thanoon"'
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 13:3025-3035
Selecting highly discriminative features from a whole feature set has become an important research area. Not only can this improve the performance of classification, but it can also decrease the cost of system diagnoses when a large number of noisy,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::380f8086a948a661c3bade6de7eda15b
https://doi.org/10.1007/s12652-021-03136-6
https://doi.org/10.1007/s12652-021-03136-6
Publikováno v:
2021 7th International Conference on Contemporary Information Technology and Mathematics (ICCITM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::017146c2edc8cda7df35f4c247d78557
https://doi.org/10.1109/iccitm53167.2021.9677716
https://doi.org/10.1109/iccitm53167.2021.9677716
Publikováno v:
Journal of Engineering and Applied Sciences. 15:310-318
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88d9a2b15d21232f536e5b93f9c4505e
https://doi.org/10.36478/jeasci.2020.310.318
https://doi.org/10.36478/jeasci.2020.310.318
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 184:142-152
In quantitative structure–activity relationship (QSAR) classification, descriptor selection is one of the most important topics in the chemometrics. The selection of descriptors can be considered to be a variable selection problem that aims to find
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d6a27fd6fc4d8daeef2171e97655dee
https://doi.org/10.1016/j.chemolab.2018.12.003
https://doi.org/10.1016/j.chemolab.2018.12.003
Publikováno v:
Computers in Biology and Medicine. 103:262-268
In cancer classification, gene selection is one of the most important bioinformatics related topics. The selection of genes can be considered to be a variable selection problem, which aims to find a small subset of genes that has the most discriminat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64b0130096f64eef13583f11bb613d28
https://doi.org/10.1016/j.compbiomed.2018.10.034
https://doi.org/10.1016/j.compbiomed.2018.10.034
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 212:104288
The common issues of big data are that many of the features may not be relevant. Feature selection has been proven to be an effective way to improve the results of many classification algorithms. Binary crow search algorithm (BCSA) has been developed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84d6c6656d11762414107a200a3a7178
https://doi.org/10.1016/j.chemolab.2021.104288
https://doi.org/10.1016/j.chemolab.2021.104288
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 204:104104
With the advance of generating high-dimensional data, feature selection is the most significant procedure to guarantee selecting the most discriminative subset of features and to improve the classification performance. As a result, a binary black hol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3213be41fd36dae2428a9d51f4662797
https://doi.org/10.1016/j.chemolab.2020.104104
https://doi.org/10.1016/j.chemolab.2020.104104
Publikováno v:
Journal of Physics: Conference Series. 1591:012036
In the real life applications, large amounts of variables have been accumulated quickly. Selection of variables is a very useful tool for improving the prediction accuracy by identifying the most relative variables that related to the study. Gamma re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3cc4f80ff2111d76aff6c6dfb355bef
https://doi.org/10.1088/1742-6596/1591/1/012036
https://doi.org/10.1088/1742-6596/1591/1/012036