Explore how AI predictive analytics reshapes industries by providing insights, forecasting trends, and enhancing ...

Researchers are using machine learning, symbolic regression, and high-performance computing to explore and classify string ...

In this work, we explore further complexity reduction by proposing a simple linear regression (LR) -based EVM monitoring method. We systematically compare the performance of the proposed method with ...

First, a linear regression SVM framework for general nonlinear kernel is proposed using linear regression to approximate gradient computations in the learning process. Second, we propose a power mean ...

trekhleb / machine-learning-octave Sponsor Star 879 Code Issues Pull requests 🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained ...