Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
The Lancet

Quantitative susceptibility mapping at 7T as a biomarker of post- and interictal extravascular iron in patients with focal epilepsy

hDepartment of Brain and Cognitive Sciences, The School of Brain Sciences and Cognition, Zlotowski Centre for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel iDepartment of ...
GitHub

[ACL'25 Findings]MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models

This repository contains the official implementation of the following paper: MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large ...
GitHub

tcpyPI: Potential Intensity Calculations in Python

tcpyPI, 'pyPI' for short, is a set of scripts and notebooks that compute and validate tropical cyclone (TC) potential intensity (PI) calculations in Python. It is a fully documented and improved port ...
eLife

Strategically managing learning during perceptual decision making

Making optimal decisions in the face of noise requires balancing short-term speed and accuracy. But a theory of optimality should account for the fact that short-term speed can influence long-term ...