LIBLINEAR: A Library for Large Linear Classification (2008)
by
Rong-en Fan
,
Kai-wei Chang
,
Cho-jui Hsieh
,
Xiang-rui Wang
,
Chih-jen Lin
| Citations: | 210 - 3 self |
BibTeX
@MISC{Fan08liblinear:a,
author = {Rong-en Fan and Kai-wei Chang and Cho-jui Hsieh and Xiang-rui Wang and Chih-jen Lin},
title = {LIBLINEAR: A Library for Large Linear Classification},
year = {2008}
}
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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.
Citations
| 2034 | LIBSVM: A Library for Support Vector Machines,” Software available at http://www.csie.ntu.edu.tw/ ∼cjlin/libsvm - Chang, Lin - 2001 |
| 933 | A training algorithm for optimal margin classifiers - Boser, Guyon, et al. - 1992 |
| 178 | Training Linear SVMs in Linear Time - Joachims - 2006 |
| 39 | A dual coordinate descent method for large-scale linear SVM - Hsieh, Chang, et al. - 2008 |
| 9 | A sequential dual method for large scale multi-class linear svms - Keerthi, Sundararajan, et al. - 2008 |
