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+LIBLR is a linear classifier for data with millions of instances and
+features. It implement a trust region Newton method in
+
+C.-J. Lin, R. C. Weng, and S. S. Keerthi. Trust region Newton method
+for large-scale regularized logistic regression. Technical report, 2007.
+A short version appears in ICML 2007.
+
+Main features of LIBLR include
+
+Same data format as LIBSVM and similar usage
+One-vs-the rest multi-class classification
+Cross validation for model selection
+Probability estimates
+Weights for unbalanced data
+
+WWW: http://www.csie.ntu.edu.tw/~cjlin/liblr/