Earth system box models are essential tools for reconstructing long-term climatic and environmental evolution and uncovering ...

Abstract: Tensor regression is an important and useful tool for analyzing multidimensional array data. To deal with high dimensionality, CANDECOMP/PARAFAC (CP) low-rank constraints are often imposed ...

Abstract: In this article, we present a novel federated learning framework to multivariate regression problems, termed evolving Gaussian federated regression (eGauss+ $_{\text{FR}}$). The need for a ...

ABSTRACT: Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional health data characterized by ordinal outcomes. This study offers a comparative ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Multiple times while sifting through the rubble of the latest Bengals defensive debacle, coordinator Lou Anarumo repeatedly made a roller-coaster motion with his arm. He used it to describe individual ...

The problem with the Jets is they got Aaron Rodgers one year too late. Now 2-6, New York is in disarray, especially after a reasonably well-played game that ended in defeat in New England to a ...

The Netflix sci-fi adaptation has done its physics homework, even if it sometimes falls short on the humanities. By James Poniewozik The aliens who menace humankind in Netflix’s “3 Body Problem” ...

1 Department of Civil Engineering, Sichuan College of Architectural Technology, Deyang, China 2 School of Economic and Management, Dalian Ocean University, Dalian, China Landslide hazards are complex ...