Scalable Multivariate Time-Series Models for Climate Informatics

被引：0
|
作者：
Liu, Yan [1 ]
机构：
[1] Univ So Calif, Viterbi Sch Engn Comp Sci Dept, Los Angeles, CA 90095 USA
来源：
COMPUTING IN SCIENCE & ENGINEERING | 2015年 / 17卷 / 06期
基金：
美国国家科学基金会;
关键词：
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Climate data not only have a massive scale but are also of high dimension and complex dependency structures, making the analysis task extremely challenging. Recent advances in machine learning can help researchers tackle a series of problems in climate data analysis, such as climate change attribution, spatiotemporal analysis, and extreme value time-series analysis.
引用
收藏
页码：19 / 26
页数：8
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