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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 11-35 of 208  (9 Page(s) Totally)
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Institution Date Title Author
臺大學術典藏 2020-05-04T07:48:14Z A Hybrid Algorithm for Test Point Selection for Scan-Based BIST. Tsai, Huan-Chih; Cheng, Kwang-Ting; Lin, Chih-Jen; Bhawmik, Sudipta; CHIH-JEN LIN
臺大學術典藏 2020-05-04T07:48:14Z Integration of partial scan and built-in self-test. Lin, Chih-Jen; Zorian, Yervant; Bhawmik, Sudipta; CHIH-JEN LIN
臺大學術典藏 2020-05-04T07:48:14Z Timing-Driven Test Point Insertion for Full-Scan and Partial-Scan BIST. Cheng, Kwang-Ting;Lin, Chih-Jen; Cheng, Kwang-Ting; Lin, Chih-Jen; CHIH-JEN LIN
臺大學術典藏 2020-05-04T07:48:13Z Ranking individuals by group comparisons. Huang, Tzu-Kuo; Lin, Chih-Jen; Weng, Ruby C.; CHIH-JEN LIN
臺大學術典藏 2020-05-04T07:48:13Z Training Support Vector Machines via SMO-Type Decomposition Methods. CHIH-JEN LIN; Chen, Pai-Hsuen; Fan, Rong-En; Lin, Chih-Jen
臺大學術典藏 2020-05-04T07:48:13Z Decomposition methods for linear support vector machines. Chung, Kai-Min; Kao, Wei-Chun; Sun, Tony; Lin, Chih-Jen; CHIH-JEN LIN
臺大學術典藏 2020-05-04T07:48:13Z Errata to "A comparison of methods for multiclass support vector machines". Lin, Chih-Jen; CHIH-JEN LIN
臺大學術典藏 2020-05-04T07:48:12Z A dual coordinate descent method for large-scale linear SVM. Hsieh, Cho-Jui; Chang, Kai-Wei; Lin, Chih-Jen; Keerthi, S. Sathiya; Sundararajan, S.; CHIH-JEN LIN
臺大學術典藏 2020-05-04T07:48:12Z A sequential dual method for large scale multi-class linear svms. Keerthi, S. Sathiya; Sundararajan, S.; Chang, Kai-Wei; Hsieh, Cho-Jui; Lin, Chih-Jen; CHIH-JEN LIN
臺大學術典藏 2020-05-04T07:48:12Z Parallel Spectral Clustering. Song, Yangqiu; Chen, WenYen; Bai, Hongjie; Lin, Chih-Jen; Chang, Edward Y.; CHIH-JEN LIN
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

Showing items 11-35 of 208  (9 Page(s) Totally)
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