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
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S. Aya, C. Lagoze, und T. Joachims. Proceedings of the International Conference on Knowledge Management, Seite 287--298. World Scientific Publishing, (Oktober 2005)
J. Lafferty, A. McCallum, und F. Pereira. Proceedings of the Eighteenth International Conference on Machine Learning, Seite 282--289. San Francisco, CA, USA, Morgan Kaufmann Publishers Inc., (2001)