Machine Learning for Small, Uncertain, and Sparse Data Sets
M. Ahmmed, V.V. Vesselinov
AGU Fall Meeting2022
Summary
This presentation addresses strategies and methods for applying machine learning to small, uncertain, or sparse geoscience datasets, with examples from geothermal or environmental applications. It emphasizes techniques for maximizing information extraction, quantifying uncertainty, and improving model robustness in data-limited scenarios common in Earth and environmental sciences.