M easuring PC performance can be tricky business. While you can get a halfway decent picture of performance by measuring ...

Performance reviews can feel daunting, but with the right preparation, they can be a powerful opportunity to advocate for ...

Perceived similarity offers a window into the mental representations underlying our ability to make sense of our visual world, yet, the collection of similarity judgments quickly becomes infeasible ...

However, in practical applications, STAP performance is often compromised by the ... adversarial network (GAN), ensuring accurate clutter covariance matrix estimation under small-sample conditions ...

This two-part series on boundaryless performance examines how AI is blurring the lines between work and learning, transforming the very nature of performance support. Part one, ‘From workflow learning ...

This is the official implementation of our paper "Riemannian Optimization on Relaxed Indicator Matrix Manifold" . We propose a fundamental manifold in machine learning—the Relaxed Indicator Matrix ...

It's something that's owed to another person, company, or government. Examples of liabilities include loans, tax obligations, and accounts payable. An asset is something of value that you own or ...

The 21st century has witnessed such advances as the Smart Grid, ubiquitous fast internet access through wireless networks, artificial intelligence and machine learning technologies that rival humans ...