Linear regression and its variants have achieved considerable success in image classification. However, those methods still encounter two challenges when dealing with hyperspectral image (HSI) ...

The result of such nonlinear non-reciprocal interactions is the coexistence of run-and-chase dynamics and phase separation.

This technical note deals with switched linear system identification and more particularly aims at solving switched linear regression problems in a large-scale setting with both numerous data and many ...

This project explores **nonlinear regression modeling** techniques using synthetic data to understand how well scikit-learn models can capture non-linear relationships between variables. The primary ...