Machine Learning Estimation
Machine Learning Estimation is a computational methodology within remote sensing and vegetation modeling that employs algorithms capable of learning patterns from empirical data to predict Leaf Area Index, distinguished from traditional statistical or physical inversion techniques by its reliance on data-driven, non-parametric models that improve through experience without explicit programming for specific biophysical assumptions.
576
Publications
30.4K
Citations
2.7K
Authors
1.1K
Institutions
Publications per year
2017–2026
505
Parents
576
Liuyi Yao, Zhixuan Chu, Sheng Li et al. · ACM Transactions on Knowledge Discovery from Data · 2021 · 443 citations · Full text
Autoencoder asset pricing models
Shihao Gu, Bryan Kelly, Dacheng Xiu · Journal of Econometrics · 2020 · 427 citations
1–5 of 576
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Chinese Academy of Sciences
Beijing, China
23 h-index
137 publications
9.9K citations
University of Chinese Academy of Sciences
Beijing, China
16 h-index
50 publications
3.5K citations
State Key Laboratory of Remote Sensing Science
Beijing, China
14 h-index
72 publications
2.7K citations

Beijing Normal University
Beijing, China
14 h-index
76 publications
5.7K citations
Wuhan University
Wuhan, China
13 h-index
48 publications
1.8K citations
Aerospace Information Research Institute
Beijing, China
11 h-index
34 publications
1.6K citations
University of Maryland, College Park
College Park, United States
11 h-index
18 publications
894 citations

Zhejiang University
Hangzhou, China
9 h-index
32 publications
1.7K citations
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52 publications · 3K citations
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20 publications · 728 citations
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13 publications · 557 citations
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10 publications · 289 citations
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10 publications · 1.9K citations
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