Random subspace method with class separability weighting-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Random subspace method with class separability weighting

Published:2016-03-24 Issue:3 Volume:33 Page:275-285
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Mert Ahmet¹,Kılıç Niyazi²,Bilgili Erdem¹

Affiliation:

1. Department of Electrical and Electronics Engineering; Piri Reis University; 34940 Istanbul Turkey

2. Department of Electrical and Electronics Engineering; Istanbul University; 34320 Istanbul Turkey

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/exsy.12149/fullpdf

Reference56 articles.

1. Application of pattern search method to power system valve-point economic load dispatch;Al-Sumait;International Journal of Electrical Power & Energy Systems,2007

2. Analysis of generalized pattern searches;Audet;SIAM Journal on Optimization,2003

3. Mesh adaptive direct search algorithms for constrained optimization;Audet;SIAM Journal on Optimization,2006

4. Buntine W 1990 A theory of learning classification rules

5. Bagging predictors;Breiman;Machine Learning,1996

Cited by 9 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. Forecasting actual evapotranspiration without climate data based on stacked integration of DNN and meta-heuristic models across China from 1958 to 2021;Journal of Environmental Management;2023-11

2. Forecasting vapor pressure deficit for agricultural water management using machine learning in semi-arid environments;Agricultural Water Management;2023-06

3. Ensemble machine learning paradigms in hydrology: A review;Journal of Hydrology;2021-07

4. Evolutionary Multitask Ensemble Learning Model for Hyperspectral Image Classification;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2021

5. Monthly suspended sediment load prediction using artificial intelligence: testing of a new random subspace method;Hydrological Sciences Journal;2020-07-19

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