2008 LIBLINEARALibraryforLargeLinear

• (Fan et al., 2008) ⇒ Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, and Chih-Jen Lin. (2008). “LIBLINEAR: A Library for Large Linear Classification.” In: The Journal of Machine Learning Research, 9

Subject Headings: LIBLINEAR System, Linear SVM Training System, Logistic Regression Training System.

Cited By

• http://scholar.google.com/scholar?q=%22LIBLINEAR%3A+A+Library+for+Large+Linear+Classification%22+2008
• http://dl.acm.org/citation.cfm?doid=&preflayout=flat#citedby

Quotes

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.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2008 LIBLINEARALibraryforLargeLinear	Chih-Jen Lin Cho-Jui Hsieh Kai-Wei Chang Rong-En Fan Xiang-Rui Wang			LIBLINEAR: A Library for Large Linear Classification