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

Bloom Filters are a fundamental and pervasive data structure. Within thegrowing area of Learned Data Structures, several Learned versions of BloomFilters have been considered, yielding advantages over classic Filters. Each ofthem uses a classifier, which is the Learned part of the data structure.Although it has a central role in those new filters, and its space footprint aswell as classification time may affect the performance of the Learned Filter,no systematic study of which specific classifier to use in which circumstancesis available. We report progress in this area here, providing also initialguidelines on which classifier to choose among five classic classificationparadigms.

On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters