Bayesian analysis of constrained Gaussian processes integrates prior knowledge and observed data to model complex functions subject to known restrictions. Constrained Gaussian processes extend ...
Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...
Advances in hyperspectral imaging including electron energy loss spectroscopy bring forth the challenges of exploratory and physics-based analysis of multidimensional data sets. The multivariate ...
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