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2008 JMLR JMLR 2008

LIBLINEAR: A Library for Large Linear Classification

Abstract

LIBLINEAR is an open source library for large-scale linear classification. It supports logistic regression and linear support vector machines. We provide easy-to-use command-line tools and library calls for users and developers. Comprehensive documents are available for both beginners and advanced users. Experiments demonstrate that LIBLINEAR is very efficient on large sparse data sets. [abs] [ pdf ][ bib ] [ code ] © JMLR 2008. (edit, beta)

🐣 Hot Topic Early Bird — logistic regression
🐝 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

Rong-En Fan , Kai-Wei Chang , Cho-jui Hsieh , Xiang-Rui Wang , Chih-Jen Lin

Topics

Machine Learning > Core Methods > Classification Machine Learning > Application Areas > Efficient Computing

Keywords

logistic regression large-scale learning linear classification support vector machine
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