Karthik Duraisamy

Efficient Multiscale Gaussian Process Regression using Hierarchical Clustering

2015 · arXiv (Cornell University)

Standard Gaussian Process (GP) regression, a powerful machine learning tool, is computationally expensive when it is applied to large datasets, and potentially inaccurate when data points are sparsely distributed in a high-dimensional feature space. To …