ENTITY PCA-GP

PCA-GP

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RESEARCH · CL_77146 · Jun 4 · 18:00

New GPLFR model predicts high-dimensional outputs from sparse data

Researchers have introduced Gaussian Process Latent Factor Regression (GPLFR), a new model designed to predict high-dimensional outputs from limited training data. This method addresses limitations in existing multi-out…