Statements (29)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:software
|
| gptkbp:author |
gptkb:Chih-Jen_Lin
gptkb:Chih-Feng_Juan gptkb:Rong-En_Fan |
| gptkbp:citation |
Fan, R.-E., Chang, K.-W., Hsieh, C.-J., Wang, X.-R., & Lin, C.-J. (2008). LIBLINEAR: A library for large linear classification. Journal of Machine Learning Research, 9, 1871-1874.
|
| gptkbp:developer |
gptkb:National_Taiwan_University
|
| gptkbp:feature |
multi-class classification
probability estimates L1-loss support vector classification L2-loss support vector classification L2-regularized logistic regression large-scale linear classification |
| gptkbp:firstReleased |
2008
|
| gptkbp:format |
sparse data
dense data |
| https://www.w3.org/2000/01/rdf-schema#label |
LIBLINEAR
|
| gptkbp:license |
gptkb:BSD_license
|
| gptkbp:platform |
cross-platform
|
| gptkbp:programmingLanguage |
gptkb:C++
C |
| gptkbp:relatedTo |
gptkb:LIBSVM
|
| gptkbp:usedFor |
gptkb:machine_learning
logistic regression support vector machines linear classification |
| gptkbp:website |
https://www.csie.ntu.edu.tw/~cjlin/liblinear/
|
| gptkbp:bfsParent |
gptkb:Pegasos
gptkb:Sparse_Multinomial_Logistic_Regression |
| gptkbp:bfsLayer |
7
|