JCLAL
JCLAL: a Java framework for active learning. Active Learning has become an important area of research owing to the increasing number of real-world problems which contain labelled and unlabelled examples at the same time. JCLAL is a Java Class Library for Active Learning which has an architecture that follows strong principles of object-oriented design. It is easy to use, and it allows the developers to adapt, modify and extend the framework according to their needs. The library offers a variety of active learning methods that have been proposed in the literature. The software is available under the GPL license.
Keywords for this software
References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
Sorted by year (- Paul Scherer, Thomas Gaudelet, Alison Pouplin, Suraj M S, Jyothish Soman, Lindsay Edwards, Jake P. Taylor-King: PyRelationAL: A Library for Active Learning Research and Development (2022) arXiv
- Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast: Small-text: Active Learning for Text Classification in Python (2021) arXiv
- Tivadar Danka, Peter Horvath: modAL: A modular active learning framework for Python (2018) arXiv
- Reyes, Oscar; Pérez, Eduardo; Rodríguez-Hernández, María del Carmen; Fardoun, Habib M.; Ventura, Sebastián: JCLAL: a Java framework for active learning (2016)