Deep learning-based predictions of gene perturbation effects do not yet outperform simple linear baselines. Constantin Ahlmann-Eltze, Wolfgang Huber, Simon Anders ...

Regression analysis is highly relevant to agricultural sciences since many of the factors studied are quantitative. Researchers have generally used polynomial models to explain their experimental ...

conda create -n your_env_name python=3.9.2 torch 2.1.1 + cu118 pip3 install torch==2.2.0 torchvision==0.17.0 torchaudio==2.2.0 --index-url https://download.pytorch ...

Ster, saleshouse of the Dutch public broadvasters, suffered a sharp decline in turnover in the first half of 2025. Sales of advertising time at the NPO and regional public broadcasters amounted to ...

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 ...

Adley Rutschman cemented himself as one of the top prospects in baseball after his incredible college career at Oregon State University. And this success propelled the Baltimore Orioles to select him ...

Abstract: Linear regression is a very simple machine learning model that is supposed to find linear relations between input and output data. Its use is limited since real-world random variables are ...

Jeff Hafley worked wonders with the Green Bay Packers defense in his first year as an NFL coordinator, but while the arrow looks like it is pointing up, maintaining the same level of play from 2024 ...

aDepartment of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, UK bNuffield Department of Surgery, University of Oxford, ...