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Showing items 1-12 of 12 (1 Page(s) Totally)
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| 臺大學術典藏 |
2020-05-04T07:48:12Z |
A dual coordinate descent method for large-scale linear SVM.
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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.
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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 |
Large linear classification when data cannot fit in memory.
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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 |
Large Linear Classification When Data Cannot Fit in Memory.
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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 |
| 國立臺灣大學 |
2010-04 |
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM
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Chang, Yin-Wen; Hsieh, Cho-Jui; Chang, Kai-Wei; Ringgaard, Michael; Lin, Chih-Jen |
| 臺大學術典藏 |
2010-04 |
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM
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Chang, Yin-Wen; Hsieh, Cho-Jui; Chang, Kai-Wei; Ringgaard, Michael; Lin, Chih-Jen; Chang, Yin-Wen; Hsieh, Cho-Jui; Chang, Kai-Wei; Ringgaard, Michael; Lin, Chih-Jen |
| 國立臺灣大學 |
2010-02 |
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy
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Huang, Fang-Lan; Hsieh, Cho-Jui; Chang, Kai-Wei; Lin, Chih-Jen |
| 國立臺灣大學 |
2009 |
座標下降法求解大規模二次漏失函數線性支持向量機
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謝卓叡; Hsieh, Cho-Jui |
| 國立臺灣大學 |
2009 |
An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Na ve Bayes
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Lo, Hung-Yi; Chang, Kai-Wei; Chen, Shang-Tse; Chiang, Tsung-Hsien; Ferng, Chun-Sung; Hsieh, Cho-Jui; Ko, Yi-Kuang; Kuo, Tsung-Ting; Lai, Hung-Che; Lin, Ken-Yi; Wang, Chia-Hsuan; Yu, Hsiang-Fu; Lin, Chih-Jen; Lin, Hsuan-Tien; Lin, Shou-de |
| 臺大學術典藏 |
2009 |
An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Na ve Bayes
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Chen, Shang-Tse; Chiang, Tsung-Hsien; Ferng, Chun-Sung; Hsieh, Cho-Jui; Ko, Yi-Kuang; Kuo, Tsung-Ting; Lai, Hung-Che; Lin, Ken-Yi; Wang, Chia-Hsuan; Yu, Hsiang-Fu; Lin, Chih-Jen; Lin, Hsuan-Tien; Lin, Shou-de; Chang, Kai-Wei; Lo, Hung-Yi;Chang, Kai-Wei;Chen, Shang-Tse;Chiang, Tsung-Hsien;Ferng, Chun-Sung;Hsieh, Cho-Jui;Ko, Yi-Kuang;Kuo, Tsung-Ting;Lai, Hung-Che;Lin, Ken-Yi;Wang, Chia-Hsuan;Yu, Hsiang-Fu;Lin, Chih-Jen;Lin, Hsuan-Tien;Lin, Shou-de; Lo, Hung-Yi |
| 國立臺灣大學 |
2008 |
Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines-
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Chang, Kai-Wei; Hsieh, Cho-Jui; Lin, Chih-Jen |
| 國立臺灣大學 |
2008 |
LIBLINEAR: A library for large linear classification
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Fan, Rong-En; Chang, Kai-Wei; Hsieh, Cho-Jui; Wang, Xiang-Rui; Lin, Chih-Jen |
Showing items 1-12 of 12 (1 Page(s) Totally)
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