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: Traditional adaptive beamformers often exhibit performance degradation under model mismatches or limited sample scenarios. To address these limitations, this paper proposes a robust adaptive ...

OAKLAND — A man with six prior felony convictions who also was once shot by Fremont police was charged Monday with murder in the recent fatal shooting of a beloved 33-year registered nurse and father, ...

Abstract: General sparse matrix-matrix multiplication (SpGEMM) is a fundamental computational method with wide-ranging applications in scientific simulations, machine learning, and image processing.