Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...
ahajournals.org

Development and Validation of the Predicting Risk of Ischemic Stroke in Malignancy Estimation Tool

The risk of ischemic stroke is highest during the first year following a new diagnosis of cancer, but no tools exist to identify patients at highest risk. Using linked clinical and administrative ...
Hosted on MSN

Building multivariate linear regression in C++ — no libraries, just code

Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...
marktechpost

Can a Small Language Model Predict Kernel Latency, Memory, and Model Accuracy from Code? A New Regression Language Model (RLM) Says Yes

Researchers from Cornell and Google introduce a unified Regression Language Model (RLM) that predicts numeric outcomes directly from code strings—covering GPU kernel latency, program memory usage, and ...
IEEE

Temporal Convolutional Kolmogorov–Arnold Networks-Based Multivariate Regression for Unmanned Aerial Vehicle Flight Data Anomaly Detection and Recovery

Abstract: With the rapid development and wide application of unmanned aerial vehicles (UAVs), concerns about their safety and reliability are increasing. Anomaly detection of flight data and ...
Medscape

Restricted Drug Coverage Tied to Increased Risk for MS Relapse

Restricted coverage of medications for relapsing-remitting multiple sclerosis (MS) was associated with a higher risk for relapse, a new study showed. Patients with MS enrolled in Medicare Advantage ...
ahajournals.org

Circulating 25‐Hydroxyvitamin D Levels During Pregnancy and Risk of Congenital Heart Diseases: Multivariable and Mendelian Randomization Analyses Using 3 Birth Cohorts

Identifying modifiable risk factors for congenital heart disease (CHD) is important for prevention. Previous studies have reported associations between 25‐hydroxyvitamin D (25(OH)D) in pregnancy and ...