Adversarial validation for quantifying dissimilarity in geospatial machine learning prediction
Adversarial validation for quantifying dissimilarity in geospatial machine learning prediction
This data includes all datasets and codes for adversarial validation in geospatial machine learning prediction and corresponding experiments. Except for datasets (Brazil Amazon basion AGB dataset and synthetic species abundance dataset) and code, Reademe.txt explains each file's meaning.
- University of Twente Netherlands
Earth and Environmental Science, Computer and Information Science, Machine learning prediction; Geospatial regression; Cross-validation; Adversarial validation; dissimilarity; feature space, Earth and Environmental Sciences, Environmental Research, Natural Sciences, Machine learning prediction Geospatial regression Cross validation Adversarial validation dissimilar, Geosciences
Earth and Environmental Science, Computer and Information Science, Machine learning prediction; Geospatial regression; Cross-validation; Adversarial validation; dissimilarity; feature space, Earth and Environmental Sciences, Environmental Research, Natural Sciences, Machine learning prediction Geospatial regression Cross validation Adversarial validation dissimilar, Geosciences
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