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Estimating ground-level PM2. 5 using micro-satellite images by a convolutional neural network and random forest approach

, , , , and . Atmospheric Environment, (2020)

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Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization., , , , and . CoRR, (2015)Parallel Majorization Minimization with Dynamically Restricted Domains for Nonconvex Optimization., , , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 1497-1505. JMLR.org, (2016)Learning Deep Sigmoid Belief Networks with Data Augmentation., , , and . AISTATS, volume 38 of JMLR Workshop and Conference Proceedings, JMLR.org, (2015)Neuroprosthetic decoder training as imitation learning., , , and . CoRR, (2015)Adversarial Factor Models for the Generation of Improved Autism Diagnostic Biomarkers., , , , , and . CoRR, (2021)Multiple Domain Causal Networks., , , and . CoRR, (2022)Dynamic Embedding on Textual Networks via a Gaussian Process., , , , , and . AAAI, page 7562-7569. AAAI Press, (2020)Augmenting Ground-Level PM2.5 Prediction via Kriging-Based Pseudo-Label Generation., , and . CoRR, (2024)Deep Temporal Sigmoid Belief Networks for Sequence Modeling., , , , and . NIPS, page 2467-2475. (2015)Estimating Uncertainty Intervals from Collaborating Networks., , , and . J. Mach. Learn. Res., (2021)