Machine Learning and Forecasting: A Review
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-40601-1_8
Reference37 articles.
1. Abu-Mostafa, Yaser S. 1989. The Vapnik-Chervonenkis Dimension: Information Versus Complexity in Learning. Neural Computation 1 (3): 312–317. https://doi.org/10.1162/neco.1989.1.3.312 .
2. Ackermann, Klaus, Lauren Haynes, Rayid Ghani, Joe Walsh, Adolfo De Unánue, Hareem Naveed, Andrea Navarrete Rivera, et al. 2018. Deploying Machine Learning Models for Public Policy. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining—KDD 18. ACM Press. https://doi.org/10.1145/3219819.3219911 .
3. Ahmed, Nesreen K., Amir F. Atiya, Neamat El Gayar, and Hisham El-Shishiny. 2010. An Empirical Comparison of Machine Learning Models for Time Series Forecasting. Econometric Reviews 29 (5–6): 594–621. https://doi.org/10.1080/07474938.2010.481556 .
4. Amat, Fernando, Ashok Chandrashekar, Tony Jebara, and Justin Basilico. 2018. Artwork Personalization at Netflix. In Proceedings of the 12th ACM Conference on Recommender Systems—RecSys 18. ACM Press. https://doi.org/10.1145/3240323.3241729 .
5. Armstrong, J. Scott, and Kesten C. Green. 2019. Why Didn’t Experts Pick M4-Competition Winner? https://repository.upenn.edu/marketing_papers/431 .
Cited by 3 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. Enhancing multistep-ahead bike-sharing demand prediction with a two-stage online learning-based time-series model: insight from Seoul;The Journal of Supercomputing;2023-09-08
2. Robust building energy consumption forecasting using an online learning approach with R ranger;Journal of Building Engineering;2022-04
3. Interpretable Short-Term Electrical Load Forecasting Scheme Using Cubist;Computational Intelligence and Neuroscience;2022-02-08
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