GEMSS - Generalization Error Minimization in SubSampling for Gaussian
Processes
Implements the Generalization Error Minimization in
SubSampling (GEMSS) algorithm for sequential subdata selection
in large-scale Gaussian process modeling (Chang, Hua, and Wu,
2026) <doi:10.1080/00401706.2026.2670596>. The method selects
data points by a criterion consisting of predictive and
space-filling parts, enabling efficient surrogate modeling for
massive datasets.
