Reducing the number of trees in a forest using noisy features
Author:
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12530-022-09441-5.pdf
Reference51 articles.
1. Adnan MN, Islam MZ (2016) Optimizing the number of trees in a decision forest to discover a subforest with high ensemble accuracy using a genetic algorithm. Knowl-Based Syst 110:86–97
2. Adnan MN, Islam MZ et al (2017a) Forex++: a new framework for knowledge discovery from decision forests. Australas J Inf Syst 21
3. Adnan MN, Islam MZ (2017b) Forest pa: constructing a decision forest by penalizing attributes used in previous trees. Expert Syst Appl 89:389–403
4. Akhiat Y, Chahhou M, Zinedine A (2018) Feature selection based on graph representation. In: 2018 IEEE 5th international congress on Information science and technology (CiSt). IEEE, pp 232–237
5. Akhiat Y, Chahhou M, Zinedine A (2019) Ensemble feature selection algorithm. Int J Intell Syst Appl 11(1):24
Cited by 5 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. Prediction of Student Performance Using Random Forest Combined With Naïve Bayes;The Computer Journal;2024-05-02
2. Effectiveness of the method for selecting rotary-steerable systems based on the machine learning algorithm Random Forest Classifier;Bulletin of the Tomsk Polytechnic University Geo Assets Engineering;2024-04-25
3. Optimizing the number of branches in a decision forest using association rule metrics;Knowledge and Information Systems;2024-02-27
4. LSAE: Autoencoder Latent Space for Dimensionality Reduction-Based Approach for COVID-19 Classification and Detection Task Using Chest X-ray;Operations Research Forum;2023-12-02
5. SWEP-RF: Accuracy sliding window-based ensemble pruning method for latent sector error prediction in cloud storage computing;Journal of King Saud University - Computer and Information Sciences;2023-09
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