Cedars-Sinai Health Sciences University investigators and colleagues created an algorithm designed to use data on sudden ...

A new algorithm designed to consider all forms of diabetes when diagnosing patients is among the additions in the American ...

This package provides a complete, high-performance Python implementation of the Expectation-Maximization algorithm for fitting two-state models of motor learning. The implementation uses Numba JIT ...

“The product— I’m sorry ‘content’—is being commodified to the extent that it’s more valuable to burn it down and get the insurance on it than to give it a shot in the marketplace,” Fraser said. “I ...

ABSTRACT: For an independent and identically distributed skew-t-normal random sequence, this paper establishes the limit distribution of normalized sample range M n − m n . Based on the optimal ...

ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...

Algorithms, examples and tests for denoising, deblurring, zooming, dequantization and compressive imaging with total variation (TV) and second-order total generalized variation (TGV) regularization.

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

There's a familiar TV discourse taking shape online right now, the kind that I suspect will look awfully familiar to you if you remember the way Game of Thrones crashed and burned in its eighth and ...

Emma Stone had to learn a lot about conspiracy theories for her role in Ari Aster’s COVID-era Western “Eddington” — so much so that it started working its way into her social media algorithms. Stone ...