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2014 JMLR JMLR 2014

LIBOL: A Library for Online Learning Algorithms

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. [abs] [ pdf ][ bib ] [ code ] © JMLR 2014. (edit, beta)

🐣 Hot Topic Early Bird — stochastic gradient descent
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Steven C.H. Hoi , Jialei Wang , Peilin Zhao

Topics

Machine Learning > Core Methods > Classification Machine Learning > Optimization & Theory > Online Algorithms

Keywords

stochastic gradient descent online learning large-scale learning classification algorithm
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