Web: http://arxiv.org/abs/2007.01386

Jan. 26, 2022, 2:11 a.m. | Jim Davis

cs.LG updates on arXiv.org arxiv.org

Classification approaches based on the direct estimation and analysis of
posterior probabilities will degrade if the original class priors begin to
change. We prove that a unique (up to scale) solution is possible to recover
the data likelihoods for a test example from its original class posteriors and
dataset priors. Given the recovered likelihoods and a set of new priors, the
posteriors can be re-computed using Bayes' Rule to reflect the influence of the
new priors. The method is simple …

arxiv posterior

More from arxiv.org / cs.LG updates on arXiv.org

Data Analytics and Technical support Lead

@ Coupa Software, Inc. | Bogota, Colombia

Data Science Manager

@ Vectra | San Jose, CA

Data Analyst Sr

@ Capco | Brazil - Sao Paulo

Data Scientist (NLP)

@ Builder.ai | London, England, United Kingdom - Remote

Senior Data Analyst

@ BuildZoom | Scottsdale, AZ/ San Francisco, CA/ Remote

Senior Research Scientist, Speech Recognition

@ SoundHound Inc. | Toronto, Canada