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Found 3 papers, 0 papers with code
A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling
In this work, we propose a novel framework for large-scale Gaussian process (GP) modeling.
Risk-Aware Control and Optimization for High-Renewable Power Grids
The transition of the electrical power grid from fossil fuels to renewable sources of energy raises fundamental challenges to the market-clearing algorithms that drive its operations.
Uncertainty Quantification
Vocal Bursts Intensity Prediction
Distributional Clustering: A distribution-preserving clustering method
One key use of k-means clustering is to identify cluster prototypes which can serve as representative points for a dataset.
