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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 ...
GitHub

metaSVR: Support Vector Regression with Metaheuristic Algorithms Optimization

metaSVR is an R Package to integrates Support Vector Regression (SVR) with various metaheuristic algorithms for automated hyperparameter tuning which is: cost, gamma, and epsilon. This package can be ...
IEEE

Support Vector Regression for Gain and S11 Prediction: A Low-Complexity Solution for Antenna Design

Abstract: This study explores the application of Support Vector Machines (SVM) for predicting key performance metrics, namely Gain and S11 (return loss), in microstrip patch antenna design. By ...
IEEE

Time Series Forecasting for Solar Power Generation using Support Vector Regression with Extreme Gradient Boosting

Abstract: In modern era, time series forecasting plays a crucial role in Solar Power Generation (SPG), by allowing the prediction of future energy output using past power and weather data for grid ...
GitHub

Install Ollama with AMD Support on Windows

ROCm are the official drivers from AMD meant to allow AI models to run on AMD GPUs. They add a compatibility layer which allows programs meant to run with CUDA to run on an AMD GPU. Go to the official ...