High-precision analysis of 2D materials microstructures achieved using electron microscopy and machine learning

A research team led by NIMS has, for the first time, produced nanoscale images of two key features in an ultra-thin material: ...
Purdue University

In Print: ‘Sparse Graphical Modeling for High Dimensional Data’

This book offers a comprehensive framework for mastering the complexities of learning high-dimensional sparse graphical models through the use of conditional independence tests. These tests are ...
EurekAlert!

Hybrid quantum-classical algorithm accelerates dynamic mode decomposition for high-dimensional time series analysis

Seeking to reduce the computing power needed for the widely used dynamic mode decomposition algorithm, a team of researchers in China led by Guo-Ping Guo developed a quantum-classical hybrid algorithm ...
JSTOR Daily

Survival Impact Index and Ultrahigh-Dimensional Model-Free Screening with Survival Outcomes

Motivated by ultrahigh-dimensional biomarkers screening studies, we propose a model-free screening approach tailored to censored lifetime outcomes. Our proposal is built upon the introduction of a new ...
TechRepublic

Data Modeling vs. Data Analysis: An In-Depth Comparison

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...