LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized logistic regression (LR), L2-loss linear SVM, and L1-loss linear SVM.
Main features of LIBLINEAR include
* Same data format as LIBSVM, our general-purpose SVM solver, and also similar usage
* Multi-class classification: 1) one-vs-the rest, 2) Crammer & Singer
* Cross validation for model selection
* Probability estimates (logistic regression only)
* Weights for unbalanced data
* MATLAB/Octave, Java interfaces
N. Gunasekara, S. Pang, и N. Kasabov. Neural Information Processing. Models and Applications, том 6444 из Lecture Notes in Computer Science, Springer Berlin Heidelberg, (2010)
R. Bunescu, и M. Pasca. Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics (EACL-06), Trento, Italy, стр. 9-16. (апреля 2006)