We review supervised learning and deep neural network design for learning membership on
algebraic varieties. We demonstrate that these trained artificial neural networks can predict …

Functional data analysis (FDA) is a method used to analyze data represented in its
functional form. The method is particularly useful for exploring both curve and longitudinal …

L'intrication quantique est un des phénomènes les plus intéressants et intriguant en
Mécanique Quantique, et de surcroît en Théorie de l'Information Quantique. Ressource …

En la actualidad el avión es el medio de transporte más utilizado para realizar
desplazamientos de media y larga distancia. Durante los últimos años se ha presenciado …

In this paper we study opportunities provided by some of the well-known nonlinear
regression strategies in order to analyze available astrophysical data. Astrophysical data are …