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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Proposed is a histogram approach for feature selection and classification. The axes are divided into equally-spaced intervals, but the division numbers are different among axes. The main difference from similar approaches is that feature selection mechanism is embedded in the method. The optimal division is determined by an MDL criterion, so that the classifier is guaranteed to converge to the Bayes optimal classifier. We also introduce the concept of "soft feature selection" that is carried out by this method as an extension of traditional "feature selection."

Soft Feature Selection by Using a Histogram-Based Classifier