active learning (de.: Active Learning)

Learning algorithm that interactively presents labelling data to a user, so that the training process can be optimised by limiting it to selected entities.

ETSI GR ENI 004 learning algorithm that can query a user interactively to label data with the desired outputs

NOTE: The algorithm proactively selects the subset of examples to be labelled next from the pool of unlabelled data. The idea is that an ML algorithm could potentially reach a higher level of accuracy while using a smaller number of training labels if it were allowed to choose the data it wants to learn from.

Source: AI-Glossary.org (https://www.ai-glossary.org), License of definition text (excl. standard references): CC BY-SA 4.0, accessed: 2024-11-21

BibTeX-Information

@misc{aiglossary_activelearning_18gxyhc,
author = {{AI-Glossary.org}},
title = {{active learning}},
howpublished = "https://www.ai-glossary.org/index.php?p=18gxyhc\&l=en",
year = "2024",
note = "online, accessed: 2024-11-21" }