Ensemble learning of model hyperparameters and spatiotemporal data for calibration of low-cost PM<sub>2.5</sub> sensors-Reference-Cited by-同舟云学术

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Ensemble learning of model hyperparameters and spatiotemporal data for calibration of low-cost PM_2.5 sensors

Published:2019 Issue:6 Volume:16 Page:6858-6873
ISSN:1551-0018
Container-title:Mathematical Biosciences and Engineering
language:en
Short-container-title:

Author:

Yin Peng-Yeng, ,Tsai Chih-Chun,Day Rong-Fuh,Tung Ching-Ying,Bhanu Bir, ,

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modelling and Simulation,General Medicine

Reference9 articles.

1. IPCC, Climate Change

2. I. Eekhout and R. M. de Boer, Missing

3. H. Shen, X. Li and Q. Cheng, Missing information reconstruction of remote sensing

4. M. J. Azur, E. A. Stuart, C. Frangakis, et al., Multiple imputation by chained

5. J. Friedman, Greedy function

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