公開日期 | 標題 | 作者 | 來源出版物 | scopus | WOS | 全文 |
2010 | Large linear classification when data cannot fit in memory | Yu, H.-F.; Hsieh, C.-J.; Chang, K.-W.; CHIH-JEN LIN | ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | 51 | 0 | |
2012 | Large linear classification when data cannot fit in memory | Yu, H.-F.; Hsieh, C.-J.; Chang, K.-W.; CHIH-JEN LIN | ACM Transactions on Knowledge Discovery from Data | 62 | 39 | |
2011 | Large Linear Classification When Data Cannot Fit in Memory. | Yu, Hsiang-Fu; Hsieh, Cho-Jui; Chang, Kai-Wei; CHIH-JEN LIN | IJCAI 2011, Proceedings of the 22nd International Joint Conference on Artificial Intelligence, Barcelona, Catalonia, Spain, July 16-22, 2011 | 3 | 0 | |
2014 | Large-scale kernel rankSVM | Kuo, T.-M.; Lee, C.-P.; CHIH-JEN LIN | SIAM International Conference on Data Mining 2014 | 32 | 0 | |
2014 | Large-scale linear rankSVM | Lee, C.-P.; CHIH-JEN LIN | Neural Computation | 92 | 64 | |
2012 | Large-scale linear support vector regression | CHIH-JEN LIN ; Ho, C.-H.; CHIH-JEN LIN | Journal of Machine Learning Research | | | |
2015 | Large-scale logistic regression and linear support vector machines using spark | Lin, C.-Y.; Tsai, C.-H.; Lee, C.-P.; CHIH-JEN LIN | 2014 IEEE International Conference on Big Data | 66 | 0 | |
2011 | Large-scale spectral clustering with mapreduce and MPI | Chen, W.-Y.; Song, Y.; Bai, H.; Lin, C.-J.; CHIH-JEN LIN | Scaling up Machine Learning: Parallel and Distributed Approaches | 1 | 0 | |
2013 | Large-Scale Video Summarization Using Web-Image Priors. | Khosla, Aditya; Hamid, Raffay; Lin, Chih-Jen; CHIH-JEN LIN | 2013 IEEE Conference on Computer Vision and Pattern Recognition, Portland, OR, USA, June 23-28, 2013 | 243 | 0 | |
2015 | A learning-rate schedule for stochastic gradient methods to matrix factorization | CHIH-JEN LIN ; Chin, W.-S.; Zhuang, Y.; Juan, Y.-C.; CHIH-JEN LIN | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | | | |
2015 | A Learning-Rate Schedule for Stochastic Gradient Methods to Matrix Factorization. | CHIH-JEN LIN ; Chin, Wei-Sheng; Zhuang, Yong; Juan, Yu-Chin; CHIH-JEN LIN | Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I | | | |
2005 | Leave-one-out Bounds for Support Vector Regression Model Selection | Chang, Ming-Wei; Lin, Chih-Jen | Neural Computation | 105 | 74 | |
2008 | LIBLINEAR: A library for large linear classification | CHIH-JEN LIN ; Fan, R.-E.; Chang, K.-W.; Hsieh, C.-J.; Wang, X.-R.; CHIH-JEN LIN | Journal of Machine Learning Research | | | |
2006 | LIBSVM: a Library for Support Vector Machines | Chang, Chih-Chung; Lin, Chih-Jen | | | | |
2011 | LIBSVM: A Library for support vector machines | CHIH-JEN LIN ; Chang, C.-C.; CHIH-JEN LIN | ACM Transactions on Intelligent Systems and Technology | | | |
2018 | Limited-memory common-directions method for distributed L1-regularized linear classification | CHIH-JEN LIN ; Chiang W.-L; Yu-Sheng Li; Lee C.-P; CHIH-JEN LIN | SIAM International Conference on Data Mining, SDM 2018 | | | |
2018 | Limited-memory Common-directions Method for Distributed Ll-regularized Linear Classification. | CHIH-JEN LIN ; Chiang, Wei-Lin; Li, Yu-Sheng; Lee, Ching-Pei; CHIH-JEN LIN | Proceedings of the 2018 SIAM International Conference on Data Mining, SDM 2018, May 3-5, 2018, San Diego Marriott Mission Valley, San Diego, CA, USA. | | | |
2017 | Limited-memory Common-directions Method for Distributed Optimization and its Application on Empirical Risk Minimization. | CHIH-JEN LIN ; Lee, Ching-Pei; Wang, Po-Wei; Chen, Weizhu; CHIH-JEN LIN | Proceedings of the 2017 SIAM International Conference on Data Mining, Houston, Texas, USA, April 27-29, 2017. | | | |
2022 | Limited-memory common-directions method for large-scale optimization: convergence, parallelization, and distributed optimization | Lee C.-P; Wang P.-W; CHIH-JEN LIN | Mathematical Programming Computation | 0 | 0 | |
2021 | Limited-memory Common-directions Method with Subsampled Newton Directions for Large-scale Linear Classification | Yen J.-N; CHIH-JEN LIN | Proceedings - IEEE International Conference on Data Mining, ICDM | 0 | 0 | |