Publication Type
Journal Article
Version
submittedVersion
Publication Date
2-2014
Abstract
LIBOL is an open-source library for large-scale online learning, which consists of a large family of efficient and scalable state-of-the-art online learning algorithms for large- scale online classification tasks. We have offered easy-to-use command-line tools and examples for users and developers, and also have made comprehensive documents available for both beginners and advanced users. LIBOL is not only a machine learning toolbox, but also a comprehensive experimental platform for conducting online learning research.
Keywords
online learning, massive-scale classification, big data analytics
Discipline
Computer Sciences | Databases and Information Systems
Publication
Journal of Machine Learning Research
Volume
15
Issue
1
First Page
495
Last Page
499
ISSN
1532-4435
Publisher
Microtome
Citation
HOI, Steven C. H.; WANG, Jialei; and ZHAO, Peilin.
LIBOL: A Library for Online Learning Algorithms. (2014). Journal of Machine Learning Research. 15, (1), 495-499.
Available at: https://ink.library.smu.edu.sg/sis_research/2287
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://www.jmlr.org/papers/volume15/hoi14a/hoi14a.pdf