Fast, Accurate, and Stable Feature Selection Using Neural Networks-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Fast, Accurate, and Stable Feature Selection Using Neural Networks

Published:2018-03-21 Issue:2 Volume:16 Page:253-268
ISSN:1539-2791
Container-title:Neuroinformatics
language:en
Short-container-title:Neuroinform

Author:

Deraeve James,Alexander William H.

Funder

Fonds Wetenschappelijk Onderzoek

Publisher

Springer Science and Business Media LLC

Subject

Information Systems,General Neuroscience,Software

Link

http://link.springer.com/article/10.1007/s12021-018-9371-3/fulltext.html

Reference63 articles.

1. Abraham, A., Pedregosa, F., Eickenberg, M., Gervais, P., Muller, A., Kossaifi, J., … Varoquaux, G. (2014). Machine learning for neuroimaging with Scikit-learn. arXiv:1412.3919 [Cs, Stat]. Retrieved from http://arxiv.org/abs/1412.3919

2. Bolón-Canedo, V., Sánchez-Maroño, N., & Alonso-Betanzos, A. (2013). A review of feature selection methods on synthetic data. Knowledge and Information Systems, 34(3), 483–519. https://doi.org/10.1007/s10115-012-0487-8 .

3. Boser, B. E., Guyon, I. M., & Vapnik, V. N. (1992). A training algorithm for optimal margin classifiers. In Proceedings of the fifth annual workshop on computational learning theory (pp. 144–152). New York: ACM. https://doi.org/10.1145/130385.130401 .

4. Cao, L. J., & Chong, W. K. (2002). Feature extraction in support vector machine: a comparison of PCA, XPCA and ICA. In Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP ‘02 (Vol. 2, pp. 1001–1005 vol. 2). https://doi.org/10.1109/ICONIP.2002.1198211 .

5. Chandrashekar, G., & Sahin, F. (2014). A survey on feature selection methods. Computers & Electrical Engineering, 40(1), 16–28. https://doi.org/10.1016/j.compeleceng.2013.11.024 .

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Explainable artificial intelligence for feature selection in network traffic classification: A comparative study;Transactions on Emerging Telecommunications Technologies;2024-04

2. Feature selection techniques for machine learning: a survey of more than two decades of research;Knowledge and Information Systems;2023-12-01

3. An Empirical Evaluation of Feature Selection Stability and Classification Accuracy;Gazi University Journal of Science;2023-08-28

4. UDRN: Unified Dimensional Reduction Neural Network for feature selection and feature projection;Neural Networks;2023-04

5. Stability of Feature Selection Algorithms;Artificial Intelligence on Medical Data;2022-07-24

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3