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 ...

The seven-dimensional model matrix is not a simple overlay but is constructed based on a closed-loop logic of 'intent generation - intent validation - intent optimization.' The user behavior model ...

By extending a proof of a physically important behavior in one-dimensional quantum spin systems to higher dimensions, a RIKEN ...

The "Neural Network" of Brand Cognition The essence of a knowledge graph is a structured semantic network that transforms ...

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 ...

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 ...

This is a preview. Log in through your library . Abstract A virtual three-dimensional model of Las Meninas is discussed. The model suggests that Diego Velázquez used a large mirror to create his ...

In order to improve the operation efficiency of the twisted blade pump as turbine (PAT), a medium specific speed PAT was selected as the research object. The variables of the twisted blade plane blade ...