https://www.bibsonomy.org/user/hotho/multilabelBibSonomy RSS Feed for /user/hotho/multilabelLIBLINEAR 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 interfaceshttp://www.csie.ntu.edu.tw/~cjlin/liblinear/hotho2009-06-07T11:09:14+02:00classification fast liblinear library multilabel regression svm tools <span itemprop="description">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 &amp; Singer * Cross validation for model selection * Probability estimates (logistic regression only) * Weights for unbalanced data * MATLAB/Octave, Java interfaces</span>Multi-Label Classificationhttp://mlkd.csd.auth.gr/multilabel.htmlhotho2007-11-23T13:12:59+01:00classification dataset extension multilabel text tools weka <span itemprop="description">Multi-Label Classification</span>