Abstract: We consider Bayesian multiple statistical classification problem in the case where the unknown source distributions are estimated from the labeled training sequences, then the estimates are ...

A new feature is being implemented for the Timeseries module to evaluate relevant statistical tests on both pre and post models. It would be meaningful to implement this module throughout Pycaret and ...

Variants are commonly of three kinds. These have been named extension variants, aggregate variants or regrouping variants. There could exist other types of variants. A particular variant could include ...

Statistical classification of phenomena into observed groups is very common in the social and behavioral sciences. Statistical classification methods, however, are affected by the characteristics of ...

This project explores the effectiveness of both statistical and embedding-based models in the task of text classification, specifically for categorizing news articles into predefined classes: World, ...

Centre for Health Informatics, University of New South Wales, Sydney, Australia Correspondence to Ms Mei-Sing Ong, Centre for Health Informatics, University of New South Wales, Sydney 2052, Australia; ...

Objectives To compare the sensitivity of 2019 European Alliance of Associations for Rheumatology/American College of Rheumatology (EULAR/ACR) classification criteria against 1997 ACR criteria for ...