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.

Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...

Abstract: This paper develops a method for the time-dependent reliability analysis of deteriorating structures using phase-type (PH) distributions. The deteriorating model consists of two aspects: the ...

As players scrabble in the dirt for crumbs about the rumored Dota 2 Dark Carnival event, Valve changes a variable name with a ...

One of the early promises of PET was that it would be quantitative (1), as opposed to imaging modalities such as x-ray CT, MRI, or SPECT, in which quantification is more of a challenge than in PET. By ...

Abstract: In recent years, alongside conventional generators, the renewable energy-based power systems consisting of wind and solar farms, and the batteries with large capacities, termed as energy ...

The authors note that, due to a production error, Figures 1–4 appeared in the incorrect order. Figure 1 should appear as Figure 2, Figure 2 should appear as Figure 3, Figure 3 should appear as Figure ...

Pretty much the same as the savitzky-golay method, but without border problems, and without inventing points. It can be maybe merged into the savitzky-golay project but by the now this is the version ...

Recent methods generalize convolutional layers from Euclidean domains to graph-structured data by approximating the eigenbasis of the graph Laplacian. The computationally-efficient and broadly-used ...