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, und N. Kasabov. Neural Information Processing. Models and Applications, Volume 6444 von Lecture Notes in Computer Science, Springer Berlin Heidelberg, (2010)
R. Bunescu, und M. Pasca. Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics (EACL-06), Trento, Italy, Seite 9-16. (April 2006)