Abstract: In this article, we propose a new linear regression (LR)-based multiclass classification method, called discriminative regression with adaptive graph diffusion (DRAGD). Different from ...

The BEA's third estimate of real gross domestic product showed economic growth increased at an annual rate of 3.8% in Q2 2025. The increase in real GDP in the second quarter primarily reflected a ...

Abstract: Graph signal processing (GSP) is a prominent framework for analyzing signals on non-Euclidean domains. The graph Fourier transform (GFT) uses the combinatorial graph Laplacian matrix to ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

MIAMI — The times, they are a-changin’. The owner of Miami clothier Austin Burke paid $300,000 for his Wynwood spot back in the 1980′s. Now, preparing to close their doors, the owner just sold the ...

ABSTRACT: As extremely important methods, Lp regression methods have attracted the attention of either theoretical or empirical researchers all over the world. As special cases of that, quantile and ...