Label distribution learning with climate probability for ensemble forecasting-Reference-Cited by-同舟云学术

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Label distribution learning with climate probability for ensemble forecasting

Published:2020-02-18 Issue:1 Volume:24 Page:69-82
ISSN:1088-467X
Container-title:Intelligent Data Analysis
language:
Short-container-title:IDA

Author:

Yang Xuebing¹,Wu Yajing¹²,Zhang Wensheng¹³,Tang Wei⁴

Affiliation:

1. Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, China

2. University of Chinese Academy of Sciences, Beijing, China

3. School of Mathematics and Big Data, Foshan University, Foshan, Guangdong, China

4. Public Meteorological Service Center of China Meteorological Administration, Beijing, China

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference31 articles.

1. A neural network based linear ensemble framework for time series forecasting;Adhikari;Neurocomputing,2015

2. The PCHIP subdivision scheme;Aràndiga;Applied Mathematics and Computation,2016

3. The quiet revolution of numerical weather prediction;Bauer;Nature,2015

4. A maximum entropy approach to natural language processing;Berger;Computational Linguistics,1996

5. Sequential quantile prediction of times series;Biau;IEEE Transactions on Information Theory,2011

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