Abstract: Attributed networks are prevalent in the current information infrastructure, where node attributes enhance knowledge discovery. Anomaly detection in attributed networks is gaining attention ...

Abstract: Canonical correlation analysis (CCA) has attracted great interest in multi-view representation. However, most of the CCA methods heavily rely on the matrix structure, which may neglect the ...

Shuttleworth still sees hope for a Linux desktop with broad appeal. Seager stressed Canonical is improving its development pipeline. Both executives believe in Rust for improved Linux security. At the ...

What causes low yield in wafers? Usually it’s due to design or process changes, but sometimes yield issues occur even if there haven’t been any changes from one manufacturing lot to the next. Finding ...

The semiconductor industry is entering an era defined by heterogeneous integration and complex packaging technologies. Innovations such as wafer-on-wafer bonding, chiplets, multi-stacked die (2.5D/3D) ...

Canonical URLs help prevent duplicate content in search. Learn what they are, why they matter, and how to set them up correctly to protect rankings. Canonical URLs are HTML elements that tell search ...

With Ubuntu Pro, Canonical's OpenJDK build includes 12 years of support. 'Chiseled' builds are faster, more secure than other OpenJDK builds. Canonical is aligning Ubuntu's and OpenJDK's release ...

Correlation coefficients range from -1 to +1, indicating the strength of relationships between variables. Investors use correlation coefficients for portfolio diversification to reduce risk.

Russell has a PhD in the history of medicine, violence, and colonialism. His research has explored topics including ethics, science governance, and medical involvement in violent contexts. Russell has ...

Recent market analysis reveals Bitcoin’s price has experienced a significant 20% decline over the past month, prompting a closer examination of common investment narratives surrounding the ...

Sparse canonical correlation analysis (sCCA) has been a useful approach for integrating different high-dimensional datasets by finding a subset of correlated features that explain the most correlation ...