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 argue for supplementing the process of training a prediction algorithm bysetting up a scheme for detecting the moment when the distribution of the datachanges and the algorithm needs to be retrained. Our proposed schemes are basedon exchangeability martingales, i.e., processes that are martingales under anyexchangeable distribution for the data. Our method, based on conformalprediction, is general and can be applied on top of any modern predictionalgorithm. Its validity is guaranteed, and in this paper we make first steps inexploring its efficiency.

Retrain or not retrain: Conformal test martingales for change-point detection