This manuscript provides valuable information on the neurodynamics of emotional processing while participants were watching movie clips. The methods and results were solid in deciphering the ...

current characteristics. A convenient flux saturation approximating function is proposed in this paper, together with an efficient parameters self-identification procedure. The adopted strategy is ...

Dot Physics Python Physics; Building a Linear Regression Function in VPython Posted: June 3, 2025 | Last updated: June 14, 2025 Physics and Python stuff. Most of the videos here are either adapted ...

A linear SVR model uses an unusual error/loss function and cannot be trained using standard techniques, and so particle swarm optimization training is used. The goal of a machine learning regression ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...

I'm a staunch defender of the dull, the drab, the plain, the 'oh yeah, I didn't notice that.' And nothing has reminded me of my proclivity towards all things seemingly mundane than Computex 2025 ...

A new activation function called Polynomial Linear Unit (PolyLU) is proposed in this paper to improve some of the shortcomings of the existing activation functions. The PolyLU meets the following ...