Publication title Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests Purdue author Faming Liang Authors Bochao Jia, Faming Liang Publisher Chapman & Hall ...

At its core, physical AI requires spatial understanding: the ability for machines to perceive and reason about ...

How Dimension Tables Work in the Data Warehouse The word “dimension” in dimension tables refers to the collection or group of information related to any measurable event, and they form a core for ...

DeepMind geospatial AI model offers comprehensive view of Earth image data Google has released a new AI model that maps the ...

In high-dimensional data analysis, we propose a sequential model averaging (SMA) method to make accurate and stable predictions. Specifically, we introduce a hybrid approach that combines a sequential ...

Data with high-dimensional covariates are now commonly encountered. Compared to other types of responses, research on high-dimensional data with censored survival responses is still relatively limited ...

Dimensional model: Less rigid and structured, the dimensional approach favors a contextual data structure related to business use or context. This database structure is optimized for online ...