semi supervised ML (de.: teilüberwachtes Lernen)
Hybrid form of supervised and unsupervised learning, where the training data
consists of both labelled and unlabelled data.
ETSI GR ENI 004 hybridization of supervised and unsupervised learning, where the training data consists of both labelled and unlabelled data.
ISO/IEC DIS 22989 machine learning (3.2.9) that makes use of both labelled and unlabelled data during training (3.2.21)
Source: AI-Glossary.org (
https://www.ai-glossary.org), License of definition text (excl. standard references): CC BY-SA 4.0, accessed: 2024-11-24
BibTeX-Information
@misc{aiglossary_semisupervisedML_1343ms7,
author = {{AI-Glossary.org}},
title = {{semi supervised ML}},
howpublished = "https://www.ai-glossary.org/index.php?p=1343ms7\&l=en",
year = "2024",
note = "online, accessed: 2024-11-24"
}