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 ...

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: Graph pooling is crucial for enlarging the receptive field and reducing computational costs in deep graph representation learning. In this work, we propose a simple but effective graph ...

Until recently, the most accurate methods for time series classification were limited by high computational complexity. ROCKET achieves state-of-the-art accuracy with a fraction of the computational ...

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 ...

This repository includes the scripts required to create the SMS-WSJ database, a spatial clustering baseline for separation, and a baseline ASR system using Kaldi ...