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.
IEEE

Interpretable Prediction of a Decentralized Smart Grid Based on Machine Learning and Explainable Artificial Intelligence

Abstract: The concept of a decentralized smart grid has emerged as a viable approach for efficiently managing and distributing electrical energy. Ensuring the stability and reliability of the grid, ...
IEEE

Porosity Prediction and Uncertainty Estimation in Tight Sandstone Reservoir Using Non-Deterministic XGBoost

Abstract: Understanding porosity is crucial in various industries, especially those involved in resource exploration and production, such as oil and gas, mining, and geology. Since porosity prediction ...
GitHub

Revisiting Transferable Adversarial Images

Revisiting Transferable Adversarial Images: Systemization, Evaluation, and New Insights. Zhengyu Zhao*, Hanwei Zhang*, Renjue Li*, Ronan Sicre, Laurent Amsaleg, Michael Backes, Qi Li, Qian Wang, Chao ...
GitHub

Learning to learn by gradient descent by gradient descent.pdf

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