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.

Abstract: For traditional surrogate model-based methods, the distribution parameters of random variables will change with the enrichment of the data, ultimately leading to the reconstruction of ...

The Corneometer CM® 825 from Courage & Khazaka electronic GmbH is widely utilized in clinical efficacy testing of cosmetics. Assessing methodological variables is crucial for ensuring the reliability ...

This study compared Light Detection and Ranging (LiDAR) and conventional methods in progeny trials of Eucalyptus cloeziana and E. saligna. Two populations, derived from open-pollinated progenies, were ...

Background Overexpression of tear matrix metalloproteinases-9 (MMP-9) on the ocular surface tissues has been reported to result in ocular surface damage. MMP-9 levels in tears have been listed as one ...

Genomic best linear unbiased prediction (GBLUP) is a key method in genomic prediction, relying on the construction of a genomic relationship matrix (G-matrix). Although various methods for G-matrix ...

Figure 17. Coupling of grain internal friction angle variation and cohesion on the factor of safety in coarse-grained granite. 6. Conclusion This work is part of a numerical simulation of the ...

Abstract: Subsynchronous oscillations (SSOs) induced by the integration of high renewable energy penetration have significantly impacted the operation of power systems. This article proposed an ...