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臺灣學術機構典藏系統 (Taiwan Academic Institutional Repository, TAIR)
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Showing items 21-45 of 208  (9 Page(s) Totally)
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Institution Date Title Author
臺大學術典藏 2020-05-04T07:48:12Z Trust region Newton methods for large-scale logistic regression. Lin, Chih-Jen; Weng, Ruby C.; Keerthi, S. Sathiya; CHIH-JEN LIN
臺大學術典藏 2020-05-04T07:48:12Z Large linear classification when data cannot fit in memory. Yu, Hsiang-Fu;Hsieh, Cho-Jui;Chang, Kai-Wei;Lin, Chih-Jen; Yu, Hsiang-Fu; Hsieh, Cho-Jui; Chang, Kai-Wei; Lin, Chih-Jen; CHIH-JEN LIN
臺大學術典藏 2020-05-04T07:48:11Z A fast parallel SGD for matrix factorization in shared memory systems. Zhuang, Yong;Chin, Wei-Sheng;Juan, Yu-Chin;Lin, Chih-Jen; Zhuang, Yong; Chin, Wei-Sheng; Juan, Yu-Chin; Lin, Chih-Jen; CHIH-JEN LIN
臺大學術典藏 2020-05-04T07:48:11Z Experiences and lessons in developing industry-strength machine learning and data mining software. Lin, Chih-Jen; CHIH-JEN LIN
臺大學術典藏 2020-05-04T07:48:11Z Large Linear Classification When Data Cannot Fit in Memory. CHIH-JEN LIN; Lin, Chih-Jen; Chang, Kai-Wei; Yu, Hsiang-Fu;Hsieh, Cho-Jui;Chang, Kai-Wei;Lin, Chih-Jen; Yu, Hsiang-Fu; Hsieh, Cho-Jui
臺大學術典藏 2020-05-04T07:48:11Z An improved GLMNET for l1-regularized logistic regression. Ho, Chia-Hua; Yuan, Guo-Xun; Yuan, Guo-Xun;Ho, Chia-Hua;Lin, Chih-Jen; Lin, Chih-Jen; CHIH-JEN LIN
臺大學術典藏 2020-05-04T07:48:11Z Designing, Analyzing and Exploiting Stake-Based Social Networks. CHIH-JEN LIN; Kuo, Tsung-Ting;Yeh, Jung-Jung;Lin, Chih-Jen;Lin, Shou-De; Kuo, Tsung-Ting; Yeh, Jung-Jung; Lin, Chih-Jen; Lin, Shou-De
臺大學術典藏 2020-05-04T07:48:10Z Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013. Zhuang, Yong; Lin, Shou-de; Lin, Hsuan-Tien; Lin, Chih-Jen; CHIH-JEN LIN; Li, Chun-Liang;Su, Yu-Chuan;Lin, Ting-Wei;Tsai, Cheng-Hao;Chang, Wei-Cheng;Huang, Kuan-Hao;Kuo, Tzu-Ming;Lin, Shan-Wei;Lin, Young-San;Lu, Yu-Chen;Yang, Chun-Pai;Chang, Cheng-Xia;Chin, Wei-Sheng;Juan, Yu-Chin;Tung, Hsiao-Yu;Wang, Jui-Pin;Wei, Cheng-Kuang;Wu, Felix;Yin, Tu-Chun;Yu, Tong;Zhuang, Yong;Lin, Shou-de;Lin, Hsuan-Tien;Lin, Chih-Jen; Li, Chun-Liang; Su, Yu-Chuan; Lin, Ting-Wei; Tsai, Cheng-Hao; Chang, Wei-Cheng; Huang, Kuan-Hao; Kuo, Tzu-Ming; Lin, Shan-Wei; Lin, Young-San; Lu, Yu-Chen; Yang, Chun-Pai; Chang, Cheng-Xia; Chin, Wei-Sheng; Juan, Yu-Chin; Tung, Hsiao-Yu; Wang, Jui-Pin; Wei, Cheng-Kuang; Wu, Felix; Yin, Tu-Chun; Yu, Tong
臺大學術典藏 2020-05-04T07:48:10Z Effective string processing and matching for author disambiguation. Chang, Wei-Cheng; Yang, Chun-Pai; Zhuang, Yong; Wu, Felix; Tung, Hsiao-Yu; Yu, Tong; Wang, Jui-Pin; Chang, Cheng-Xia; Juan, Yu-Chin; Chin, Wei-Sheng; Chin, Wei-Sheng;Juan, Yu-Chin;Zhuang, Yong;Wu, Felix;Tung, Hsiao-Yu;Yu, Tong;Wang, Jui-Pin;Chang, Cheng-Xia;Yang, Chun-Pai;Chang, Wei-Cheng;Huang, Kuan-Hao;Kuo, Tzu-Ming;Lin, Shan-Wei;Lin, Young-San;Lu, Yu-Chen;Su, Yu-Chuan;Wei, Cheng-Kuang;Yin, Tu-Chun;Li, Chun-Liang;Lin, Ting-Wei;Tsai, Cheng-Hao;Lin, Shou-De;Lin, Hsuan-Tien;Lin, Chih-Jen; CHIH-JEN LIN; Lin, Chih-Jen; Huang, Kuan-Hao; Kuo, Tzu-Ming; Lin, Shan-Wei; Lin, Young-San; Lu, Yu-Chen; Su, Yu-Chuan; Wei, Cheng-Kuang; Yin, Tu-Chun; Li, Chun-Liang; Lin, Ting-Wei; Tsai, Cheng-Hao; Lin, Shou-De; Lin, Hsuan-Tien
臺大學術典藏 2020-05-04T07:48:09Z Distributed Newton Methods for Regularized Logistic Regression. Lin, Chih-Jen; CHIH-JEN LIN; Zhuang, Yong;Chin, Wei-Sheng;Juan, Yu-Chin;Lin, Chih-Jen; Zhuang, Yong; Chin, Wei-Sheng; Juan, Yu-Chin
臺大學術典藏 2020-05-04T07:48:09Z Large-scale logistic regression and linear support vector machines using spark. Lin, Chieh-Yen; Tsai, Cheng-Hao; Lee, Ching-Pei; Lin, Chih-Jen; CHIH-JEN LIN; Lin, Chieh-Yen;Tsai, Cheng-Hao;Lee, Ching-Pei;Lin, Chih-Jen
臺大學術典藏 2020-05-04T07:48:09Z Incremental and decremental training for linear classification. Tsai, Cheng-Hao;Lin, Chieh-Yen;Lin, Chih-Jen; Tsai, Cheng-Hao; Lin, Chieh-Yen; Lin, Chih-Jen; CHIH-JEN LIN
臺大學術典藏 2020-05-04T07:48:09Z Large-scale Kernel RankSVM. Kuo, Tzu-Ming;Lee, Ching-Pei;Lin, Chih-Jen; Kuo, Tzu-Ming; Lee, Ching-Pei; Lin, Chih-Jen; CHIH-JEN LIN
臺大學術典藏 2020-05-04T07:48:08Z Field-aware Factorization Machines for CTR Prediction. CHIH-JEN LIN; Lin, Chih-Jen; Juan, Yu-Chin;Zhuang, Yong;Chin, Wei-Sheng;Lin, Chih-Jen; Juan, Yu-Chin; Zhuang, Yong; Chin, Wei-Sheng
臺大學術典藏 2020-05-04T07:48:08Z Fast Matrix-Vector Multiplications for Large-Scale Logistic Regression on Shared-Memory Systems. Lee, Mu-Chu;Chiang, Wei-Lin;Lin, Chih-Jen; Lee, Mu-Chu; Chiang, Wei-Lin; Lin, Chih-Jen; CHIH-JEN LIN
臺大學術典藏 2020-05-04T07:48:08Z Warm Start for Parameter Selection of Linear Classifiers. CHIH-JEN LIN; Lin, Chih-Jen; Chu, Bo-Yu;Ho, Chia-Hua;Tsai, Cheng-Hao;Lin, Chieh-Yen;Lin, Chih-Jen; Chu, Bo-Yu; Ho, Chia-Hua; Tsai, Cheng-Hao; Lin, Chieh-Yen
臺大學術典藏 2020-05-04T07:48:07Z Improving Ad Click Prediction by Considering Non-displayed Events. Yuan, Bo-Wen;Hsia, Jui-Yang;Yang, Meng-Yuan;Zhu, Hong;Chang, Chih-Yao;Dong, Zhenhua;Lin, Chih-Jen; Yuan, Bo-Wen; Hsia, Jui-Yang; Yang, Meng-Yuan; Zhu, Hong; Chang, Chih-Yao; Dong, Zhenhua; Lin, Chih-Jen; CHIH-JEN LIN
臺大學術典藏 2020-05-04T07:48:07Z Naive Parallelization of Coordinate Descent Methods and an Application on Multi-core L1-regularized Classification. CHIH-JEN LIN; Lin, Chih-Jen; Yuan, Guo-Xun; Juan, Yu-Chin; Zhuang, Yong
臺大學術典藏 2020-05-04T07:48:07Z Limited-memory Common-directions Method for Distributed Ll-regularized Linear Classification. Chiang, Wei-Lin; Li, Yu-Sheng; Lee, Ching-Pei; Lin, Chih-Jen; CHIH-JEN LIN
臺大學術典藏 2020-05-04T07:48:07Z Preconditioned Conjugate Gradient Methods in Truncated Newton Frameworks for Large-scale Linear Classification. Hsia, Chih-Yang; Chiang, Wei-Lin; Lin, Chih-Jen; CHIH-JEN LIN
臺大學術典藏 2020-05-04T07:48:06Z Impact of phase transition on the mouse oocyte spindle during vitrification CHIH-JEN LIN; Chang, Ching-Chien;Lin, Chih-Jen;Sung, Li-Ying;Kort, Hilton I.;Tian, X. Cindy;Nagy, Zsolt Peter; Chang, Ching-Chien; Lin, Chih-Jen; Sung, Li-Ying; Kort, Hilton I.; Tian, X. Cindy; Nagy, Zsolt Peter
臺大學術典藏 2020-05-04T07:48:06Z Efficient Derivation of Embryonic Stem Cells from Nuclear Transfer and Parthenogenetic Embryos Derived from Cryopreserved Oocytes Treaster, Stephen B.; Lin, Chih-Jen; Amano, Misa; Amano, Tomokazu; Chang, Ching-Chien; Sung, Li-Ying; Sung, Li-Ying;Chang, Ching-Chien;Amano, Tomokazu;Lin, Chih-Jen;Amano, Misa;Treaster, Stephen B.;Xu, Jie;Chang, Wei-Fang;Nagy, Zsolt Peter;Yang, Xiangzhong;Tian, X. Cindy; Xu, Jie; Chang, Wei-Fang; Nagy, Zsolt Peter; Yang, Xiangzhong; Tian, X. Cindy; CHIH-JEN LIN
臺大學術典藏 2018-09-10T07:02:13Z Cross-generation and cross-laboratory predictions of Affymetrix microarrays by rank-based methods Liu, Hsi-Che;Chen, Chien-Yu;Liu, Yu-Ting;Chu, Cheng-Bang;Liang, Der-Cherng;Shih, Lee-Yung;Lin, Chih-Jen; Liu, Hsi-Che; Chen, Chien-Yu; Liu, Yu-Ting; Chu, Cheng-Bang; Liang, Der-Cherng; Shih, Lee-Yung; Lin, Chih-Jen; CHIH-JEN LIN; CHIEN-YU CHEN
臺大學術典藏 2018-09-10T06:29:15Z Projected gradient methods for nonnegative matrix factorization Lin, Chih-Jen; Lin, C.-J.; Lin, Chih-Jen; CHIH-JEN LIN; Lin, Chih-Jen
臺大學術典藏 2018-09-10T05:57:03Z Generalized Bradley-Terry models and multi-class probability estimates Huang, Tzu-Kuo; Weng, Ruby C.; Lin, Chih-Jen; CHIH-JEN LIN

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