The technical note proposes a new approach to the optimization of this nonsmooth and nonconvex objective function, which relies on Difference of Convex (DC) functions programming. In particular, we ...

Thus, this work presents several regression models found in scientific studies, implementing them in the form of an R package called AgroReg. The package comprises 44 analysis functions with 66 ...

ABSTRACT: Function-on-scalar regression is a type of function response regression used to analyze the relationship between function response and a set of scalar predictor factors. The variable ...

The ideas are illustrated by the graph in Figure 2. The hypothetical graph shows a linear prediction system, but the ideas are the same for a neural network. There are 10 training data points. A ...

For the purposed of modelling/training, the performance of machine learning methods is measured using loss functions. In the case of linear regression, it indicates how well it fits the data. Let’s ...