Accurate Integration of Aerosol Predictions by Smoothing on a Manifold
Authors: Shuai Zheng, James Kwok
AAAI 2014 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | experimental results on both synthetic and real-world data sets show that it significantly outperforms the state-of-the-art. |
| Researcher Affiliation | Academia | Shuai Zheng James T. Kwok Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong {szhengac, jamesk}@cse.ust.hk |
| Pseudocode | No | The paper describes its methods using mathematical formulations and prose, but does not include any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide an explicit statement or link for open-source code related to the methodology described in this paper. |
| Open Datasets | Yes | ground-based AERONET data (aeronet.gsfc.nasa.gov/cgi-bin/combined_data_access_new) and five satellite measurements (disc.sci.gsfc.nasa.gov/aerosols/services/mapss) |
| Dataset Splits | No | The paper describes the use of 'labeled' and 'unlabeled' locations for its semi-supervised learning task, but does not explicitly define a separate 'validation' dataset split for hyperparameter tuning or model selection in the conventional sense of training/validation/test splits. |
| Hardware Specification | No | The paper does not provide any specific details about the hardware used for running the experiments. |
| Software Dependencies | No | The paper does not provide specific software dependency details with version numbers (e.g., library or solver names with version numbers) needed to replicate the experiment. |
| Experiment Setup | Yes | The ground truth y vector is generated from (10), with u = 0.1, σ2 = 0.01 and α = 1. The number of satellites K is 5, and their measurements are sampled using (3), with Σ = diag([0.01, 0.02, 0.03, 0.04, 0.05]). To simulate missing data, we remove each satellite measurement randomly with probability p = 0.5. |