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.

Researchers have discovered two vulnerabilities in the widely used Cursor AI-enabled integrated development environment (IDE) ...

Abstract: In this article, a target detection problem in homogeneous Gaussian noise with unknown covariance matrix is examined using multiple observations, which may be collected from multiple range ...

This is the repository directly corresponding to the Arnoldi Singular Vector (A-SV) perturbation approach Arnoldi Singular Vector perturbations for machine learning weather prediction, arXiv preprint: ...

Abstract: In this article, the new closed-loop current harmonics compensation strategy is introduced in the switching-table-based direct torque control (ST-DTC) of dual three-phase permanent magnet ...

Before the 20 th century, the first basic mathematical consequence of what would be later understood as a gauge theory was noticed in Maxwell’s theory of electromagnetism when the electric and ...

In recent years, neural networks have once again triggered an increased interest among researchers in the machine learning community. So-called deep neural networks model functions using a composition ...

A coprime array with fewer sensors can achieve the same resolution as a uniform linear array. However, when detecting co-frequency targets, there can be prominent false alarms due to overlaps between ...