GP-ND adds a log-KL divergence penalty between a GP's predictive distribution and Gaussian blobs placed on negative data pairs, aiming to fit positive points while avoiding obstacles.
ICU mortality prediction: a classi- fication algorithm for imbalanced datasets
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Obstacle-aware Gaussian Process Regression
GP-ND adds a log-KL divergence penalty between a GP's predictive distribution and Gaussian blobs placed on negative data pairs, aiming to fit positive points while avoiding obstacles.