[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 ...

A new study investigated how logistic regression model training affects performance, and which features are best to include when examining datasets from individuals suffering from COVID-19.

1. Prepare the Data The first step in training an AI model is preparing your data by collecting, cleaning, and preprocessing the information you will use to train the model.

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 ...

In this article, we propose a generalized Gaussian process concurrent regression model for functional data, where the functional response variable has a binomial. Poisson, or other non-Gaussian ...

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 ...