Abstract: Attributed networks are prevalent in the current information infrastructure, where node attributes enhance knowledge discovery. Anomaly detection in attributed networks is gaining attention ...
Google updated its JavaScript SEO docs with new guidance on canonical URLs for JavaScript-rendered pages. Keep canonicals consistent before and after rendering. Canonicalization happens both before ...
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 ...
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 ...
Git isn’t hard to learn. Moreover, with a Git GUI such as Atlassian’s Sourcetree, and a SaaS code repository such as Bitbucket, mastery of the industry’s most powerful version control tools is within ...
The first time I saw the “Duplicate without user-selected canonical” error in Google Search Console, I gulped. “Oh, no. Please, not this.” Then I saw it again ...
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 ...
Jennifer Simonson is a business journalist with a decade of experience covering entrepreneurship and small business. Drawing on her background as a founder of multiple startups, she writes for Forbes ...
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 ...
Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...