Oct. 26, 2022, 1:11 a.m. | Ziyang Lyu, Daniel Ahfock, Geoffrey J. McLachlan

cs.LG updates on arXiv.org arxiv.org

There has been increasing attention to semi-supervised learning (SSL)
approaches in machine learning to forming a classifier in situations where the
training data consists of some feature vectors that have their class labels
missing. In this study, we consider the generative model approach proposed by
Ahfock&McLachlan(2020) who introduced a framework with a missingness mechanism
for the missing labels of the unclassified features. In the case of two
multivariate normal classes with a common covariance matrix, they showed that
the error …

arxiv bayes semi-supervised semi-supervised learning simulation supervised learning

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Strategy & Management - Private Equity Sector - Manager - Consulting - Location OPEN

@ EY | New York City, US, 10001-8604

Data Engineer- People Analytics

@ Volvo Group | Gothenburg, SE, 40531