A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
By now, ChatGPT, Claude, and other large language models have accumulated so much human knowledge that they're far from simple answer-generators; they can also express abstract concepts, such as ...
The predictive model that quantifies and puts a price on marketing and public‑relations actions is transforming the sector ...
Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...
Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
Abstract: Spectral variability frequently presents a significant challenge for the unmixing process when employing the conventional linear mixture model to analyze remote sensing hyperspectral data.