[Click on image for larger view.] Figure 1: Gaussian Process Regression in Action /figcaption> After training, the model is applied to the training data and the test data. The model scores 97.50 ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

Poisson, or other non-Gaussian distribution from an exponential family, while the covariates are mixed functional and scalar variables. The proposed model offers a nonparametric generalized concurrent ...

For functional regression models with functional responses, we propose a nonparametric random-effects model using Gaussian process priors. The proposed model captures the heterogeneity nonlinearly and ...

A good way to see where this article is headed is to take a look at the screenshot in Figure 1. The demo program loads a 200-item set of training data and a 40-item set of test data into memory. The ...