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Chih-Jen Lin (Selection)

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66Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin: Large Linear Classification When Data Cannot Fit in Memory. TKDD 5(4): 23 (2012)
65Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin: Large Linear Classification When Data Cannot Fit in Memory. IJCAI 2011: 2777-2782
57Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin: Large linear classification when data cannot fit in memory. KDD 2010: 833-842
56Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLYin-Wen Chang, Cho-Jui Hsieh, Kai-Wei Chang, Michael Ringgaard, Chih-Jen Lin: Training and Testing Low-degree Polynomial Data Mappings via Linear SVM. Journal of Machine Learning Research 11: 1471-1490 (2010)
55Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLGuo-Xun Yuan, Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin: A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification. Journal of Machine Learning Research 11: 3183-3234 (2010)
54Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLFang-Lan Huang, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin: Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models Journal of Machine Learning Research 11: 815-848 (2010)
53Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLFang-Lan Huang, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin: Iterative Scaling and Coordinate Descent Methods for Maximum Entropy. ACL/AFNLP (Short Papers) 2009: 285-288
52Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHung-Yi Lo, Kai-Wei Chang, Shang-Tse Chen, Tsung-Hsien Chiang, Chun-Sung Ferng, Cho-Jui Hsieh, Yi-Kuang Ko, Tsung-Ting Kuo, Hung-Che Lai, Ken-Yi Lin, Chia-Hsuan Wang, Hsiang-Fu Yu, Chih-Jen Lin, Hsuan-Tien Lin, Shou-De Lin: An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes. Journal of Machine Learning Research - Proceedings Track 7: 57-64 (2009)
50Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLCho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin, S. Sathiya Keerthi, S. Sundararajan: A dual coordinate descent method for large-scale linear SVM. ICML 2008: 408-415
49Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLS. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin: A sequential dual method for large scale multi-class linear svms. KDD 2008: 408-416
47Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin: Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines. Journal of Machine Learning Research 9: 1369-1398 (2008)
46Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, Chih-Jen Lin: LIBLINEAR: A Library for Large Linear Classification. Journal of Machine Learning Research 9: 1871-1874 (2008)

Selection of 12 from 68 records - Chih-Jen Lin has 69 coauthors

Last update 2012-09-10 CET by the DBLP TeamThis material is Open Data Content released under the ODC-BY 1.0 license — See also our legal information page