English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We prove asymptotic equipartition properties for simple hierarchicalstructures (modelled as multitype Galton-Watson trees) and networked structures(modelled as randomly coloured random graphs). For example, for large $n$, anetworked data structure consisting of $n$ units connected by an average numberof links of order $n/log n$ can be coded by about $nH$ bits, where $H$ is anexplicitly defined entropy. The main technique in our proofs are largedeviation principles for suitably defined empirical measures.

Asymptotic Equipartition Properties for simple hierarchical and networked structures