Abstract: In this letter, we propose a new semisupervised learning (SSL) algorithm for remotely sensed hyperspectral image classification. Our main contribution is the development of a new soft sparse ...

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

This project implements logistic regression from scratch to classify students into Hogwarts houses based on their academic data. It includes data preprocessing, training the model, making predictions, ...

R-codebase for a scientific research article, titled "Modelling the term-structure of default risk under IFRS 9 within a multistate regression framework" ...