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Visual Studio Magazine

Kernel Ridge Regression with Cholesky Inverse Training Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...
IEEE

Research on equipment failure rate forecasting based on gray-linear regression combined model

Abstract: The paper researches math model about equipment failure rate, in order to forecast exactly equipment failure rate and advance equipment integrity rate and mission success rate and reserve ...
BMJ Open

Association of heart attack or stroke history with current mental health symptoms among adults in the USA: cross-sectional analyses of nationally representative samples

Objectives This study uses nationally representative survey data from the USA to estimate the relationship between a history of heart attack or stroke with the prevalence of mental health symptoms.
CBSSports.com

Fantasy football rankings 2025: Busts, picks to avoid from NFL model that called Raheem Mostert's down season

The Detroit Lions were one of the NFL's most dynamic offenses last season, with Dan Campbell's stars quickly becoming Fantasy football staples. Jared Goff, Jahmyr Gibbs, David Montgomery, and Amon-Ra ...
GitHub

Scalable and Efficient Diffusion Models with Gated Linear Attention

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 ...
C&EN

Refining Air Pollution Exposure Estimates: A Comparison of Citywide and Neighborhood Land Use Regression Models in Toronto

Department of Civil & Mineral Engineering, University of Toronto, 35 St George Street, Toronto, Ontario M5S 1A4, Canada ...
IEEE

Tensor Decomposition-Based Relaxed Linear Regression for Hyperspectral Image Classification

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 ...