A research team led by Prof. Yang Yuchao from the School of Electronic and Computer Engineering at Peking University Shenzhen Graduate School has achieved a global breakthrough by developing the first ...

Researchers have developed the first sort-in-memory hardware system capable of tackling complex, nonlinear sorting tasks ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Tackling complex puzzles requires a different set of skills than simple writing tasks. Borrowing the non-linear techniques detectives use to organize data can help.

The Data Science Lab Linear Support Vector Regression Using C# with Particle Swarm Training Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear ...

Objective: Data-driven methods for nonlinear impedance imaging have severe limitations, including low generalization ability, low reliability, and high computational consumption in the data ...

Regarding models’ EP, given the nonlinear nature of the PCA algorithm and environmental data, the study highlighted the superiority of the GAM over linear-based models. However, incorporating ...

Conclusions The relationship between staffing and outcomes appears to exist. It appears to be non-linear but calculable and a data-driven model appears possible. These findings could be used to build ...