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
L. Hettinger, A. Zehe, A. Dallmann, and A. Hotho. INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft, page 191-204. Bonn, Gesellschaft für Informatik e.V., (2019)
F. Otto, M. Ring, D. Landes, and A. Hotho. ECCWS2016-Proceedings fo the 15th European Conference on Cyber Warfare and Security, page 437. Academic Conferences and publishing limited, (2016)
X. Zhang, and Y. LeCun. (2015)cite arxiv:1502.01710Comment: This technical report is superseded by a paper entitled "Character-level Convolutional Networks for Text Classification", arXiv:1509.01626. It has considerably more experimental results and a rewritten introduction.
S. Aya, C. Lagoze, and T. Joachims. Proceedings of the International Conference on Knowledge Management, page 287--298. World Scientific Publishing, (October 2005)
B. Krause, C. Schmitz, A. Hotho, and G. Stumme. AIRWeb '08: Proceedings of the 4th international workshop on Adversarial information retrieval on the web, page 61--68. New York, NY, USA, ACM, (2008)
Y. Song, L. Zhang, and C. Giles. CIKM '08: Proceeding of the 17th ACM conference on Information and knowledge mining, page 93--102. New York, NY, USA, ACM, (2008)
G. Ifrim, M. Theobald, and G. Weikum. Proceedings of the 22nd International Conference on Machine Learning - Learning in Web Search (LWS 2005), page 18--26. Bonn, Germany, (2005)
L. Baker, and A. McCallum. Proceedings of SIGIR-98, 21st ACM International Conference on Research and Development in Information Retrieval, page 96--103. Melbourne, AU, ACM Press, New York, US, (1998)
B. Lauser, and A. Hotho. Proc. of the 7th European Conference in Research and Advanced Technology for Digital Libraries, ECDL 2003, volume 2769 of LNCS, page 140-151. Springer, (2003)
W. Lee. ICML '01: Proceedings of the Eighteenth International Conference on Machine Learning, page 314--321. San Francisco, CA, USA, Morgan Kaufmann Publishers Inc., (2001)
D. Billsus, and M. Pazzani. ICML '98: Proceedings of the Fifteenth International Conference on Machine Learning, page 46--54. San Francisco, CA, USA, Morgan Kaufmann Publishers Inc., (1998)
C. Basu, H. Hirsh, and W. Cohen. AAAI '98/IAAI '98: Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence, page 714--720. Menlo Park, CA, USA, American Association for Artificial Intelligence, (1998)
S. Bloehdorn, and A. Hotho. Proceedings of the Fourth IEEE International Conference on Data Mining, page 331-334. IEEE Computer Society Press, (November 2004)
S. Bloehdorn, and A. Hotho. Proceedings of the MSW 2004 workshop at the 10th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, page 70-87. (August 2004)
M. Ciaramita, T. Hofmann, and M. Johnson. IJCAI-03, Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, Acapulco, Mexico, August 9-15, 2003, page 817-822. Morgan Kaufmann, (2003)
S. Bloehdorn, and A. Hotho. Proceedings of the Workshop on Text-based Information Retrieval (TIR-04) at the 27th German Conference on Artificial Intelligence, (September 2004)