bookmarks (hide)4
- 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
publications (hide)35
- Machine Learning, (2021)
- ACM Trans. Spatial Algorithms Syst., (April 2020)
- Environmental Science & Technology, 49 (5): 2977--2982 (February 2015)
- Journal of Machine Learning Research, 13 (Feb): 281-305 (2012)
- Big Data (Big Data), 2017 IEEE International Conference on, page 4570--4576. IEEE, (2017)
- Environmental Science & Technology, 48 (6): 3272-3280 (2014)PMID: 24559198.
- Atmospheric Environment, 45 (15): 2507 - 2514 (2011)
- Environmental Science & Technology, 43 (13): 4672-4678 (2009)PMID: 19673250.
- Environmental Science & Technology, 47 (22): 12903-12911 (2013)PMID: 24087939.
- Environmental Science & Technology, 47 (10): 5217-5225 (2013)PMID: 23550900.
- Atmospheric Environment, 74 (Supplement C): 237 - 246 (2013)
- Atmospheric Environment, 45 (39): 7072 - 7080 (2011)
- Environmental Research, 106 (1): 7 - 16 (2008)
- Environmental science & technology, 42 (3): 815--821 (2007)
- Environmental Science & Technology, 41 (7): 2422-2428 (2007)PMID: 17438795.
- Atmospheric Environment, 41 (35): 7500 - 7511 (2007)
- Journal of Environmental Monitoring, 9 (3): 246--252 (2007)
- Atmospheric Environment, 41 (11): 2255 - 2269 (2007)
- Journal of the Air & Waste Management Association, 56 (8): 1059-1069 (2006)
- Journal of Exposure Science and Environmental Epidemiology, (2006)
