(Nanowerk News) National University of Singapore (NUS) statisticians have introduced a new technique that accurately describes high-dimensional data using lower-dimensional smooth structures. This ...

Intrinsic dimensionality estimation seeks to determine the minimum number of variables required to describe the structure underlying high-dimensional datasets. By identifying the true manifold that ...

Joanna Riley, CEO & cofounder of Censia. Striving for a more just and efficient global economy through better talent data and technology. In the age of data-driven decision-making, the significance of ...

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 ...

Your source for the news, opinions, and reader reaction on the industry’s hottest controversy. Excerpt from Microsoft SQL Server 2008 Analysis Services Unleashed. Working with relational databases, we ...

The popularity of Microsoft Excel has never waned. Today, a whopping 1.1 billion users globally rely on it for multidimensional analysis in areas such as "scenario planning, supply chain optimization, ...

Welcome to Multidimensional Data Reversion, a four-part podcast series from Ropes & Gray’s Insights Lab where data analysis intersects with the law. On this first episode, join Shannon Capone Kirk, ...

On this third episode of Ropes & Gray’s Insights Lab’s four-part Multidimensional Data Reversion podcast series, Shannon Capone Kirk and David Yanofsky discuss the crucial steps in the iterative cycle ...

While this year may be a close copy of 2023 in terms of supply chain execution as it relates to e-commerce moves, forecasting is more precarious. The instability and conflict have no upside,… ...