第 1 到 202 筆結果,共 202 筆。
公開日期 | 標題 | 作者 | 來源出版物 | scopus | WOS | 全文 | |
---|---|---|---|---|---|---|---|
1 | 2023 | On the Thresholding Strategy for Infrequent Labels in Multi-label Classification | YU-JEN LIN; CHIH-JEN LIN | International Conference on Information and Knowledge Management, Proceedings | 0 | ||
2 | 2023 | Linear Classifier: An Often-Forgotten Baseline for Text Classification | ANGELA YU-CHEN LIN; Chen, Si An; Liu, Jie Jyun; CHIH-JEN LIN | Proceedings of the Annual Meeting of the Association for Computational Linguistics | 0 | ||
3 | 2022 | Practical Counterfactual Policy Learning for Top-K Recommendations | Liu, Yaxu; Yen, Jui Nan; Yuan, Bowen; Shi, Rundong; Yan, Peng; CHIH-JEN LIN | Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | 5 | 0 | |
4 | 2022 | On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations | Lin, Li Chung; Liu, Cheng Hung; Chen, Chih Ming; Hsu, Kai Chin; Wu, I. Feng; Tsai, Ming Feng; CHIH-JEN LIN | Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022 | 2 | ||
5 | 2022 | Even the Simplest Baseline Needs Careful Re-investigation: A Case Study on XML-CNN | Chen, Si An; Liu, Jie Jyun; Yang, Tsung Han; HSUAN-TIEN LIN ; CHIH-JEN LIN | NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference | 1 | ||
6 | 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 | |
7 | 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 | |
8 | 2021 | Efficient Optimization Methods for Extreme Similarity Learning with Nonlinear Embeddings | Yuan B; Li Y.-S; Quan P; Lin C.-J.; CHIH-JEN LIN | Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | 1 | 0 | |
9 | 2021 | Parameter Selection: WhyWe Should Pay More Attention to It | Liu J.-J; Yang T.-H; Chen S.-A; Lin C.-J.; CHIH-JEN LIN | ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference | 2 | ||
10 | 2021 | A Study on Truncated Newton Methods for Linear Classification | Galli L; Lin C.; CHIH-JEN LIN | IEEE Transactions on Neural Networks and Learning Systems | 3 | 6 | |
11 | 2021 | A two-level decomposition framework exploiting first and second order information for svm training problems | Galvan G; Lapucci M; Lin C.-J; Sciandrone M.; CHIH-JEN LIN | Journal of Machine Learning Research | 3 | ||
12 | 2020 | Dual coordinate-descent methods for linear one-class SVM and SVDD | Chou, H.-Y.; Lin, P.-Y.; Lin, C.-J.; CHIH-JEN LIN | Proceedings of the 2020 SIAM International Conference on Data Mining, SDM 2020 | 10 | 0 | |
13 | 2020 | Two-variable dual coordinate descent methods for linear SVM with/without the bias term | Chiu, C.-C.; Lin, P.-Y.; Lin, C.-J.; CHIH-JEN LIN | Proceedings of the 2020 SIAM International Conference on Data Mining, SDM 2020 | 2 | 0 | |
14 | 2020 | Unbiased Ad Click Prediction for Position-aware Advertising Systems | Yuan, B.; Liu, Y.; Hsia, J.-Y.; Dong, Z.; Lin, C.-J.; CHIH-JEN LIN | RecSys 2020 - 14th ACM Conference on Recommender Systems | 15 | 0 | |
15 | 2020 | Parameter Selection for Linear Support Vector Regression | Hsia, J.; Lin, C.; CHIH-JEN LIN | IEEE Transactions on Neural Networks and Learning Systems | 20 | 15 | |
16 | 2020 | Newton methods for convolutional neural networks | Wang, C.-C.; Tan, K.L.; Lin, C.-J.; CHIH-JEN LIN | ACM Transactions on Intelligent Systems and Technology | 1 | 0 | |
17 | 2020 | AutoConjunction: Adaptive Model-based Feature Conjunction for CTR Prediction | Chang, C.-Y.; Tang, X.; Yuan, B.-W.; Hsia, J.-Y.; Liu, Z.; Dong, Z.; He, X.; Lin, C.-J.; CHIH-JEN LIN | Proceedings - IEEE International Conference on Mobile Data Management | 2 | 0 | |
18 | 2019 | The common-directions method for regularized empirical risk minimization | Wang, P.-W.; Lee, C.-P.; Lin, C.-J.; CHIH-JEN LIN | Journal of Machine Learning Research | 4 | ||
19 | 2019 | 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; CHIH-JEN LIN | Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019. | 35 | 0 | |
20 | 2018 | 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 | Proceedings of The 10th Asian Conference on Machine Learning, ACML 2018, Beijing, China, November 14-16, 2018. | |||
21 | 2018 | Limited-memory common-directions method for distributed L1-regularized linear classification | Chiang W.-L; Yu-Sheng Li; Lee C.-P; Lin C.-J.; CHIH-JEN LIN | SIAM International Conference on Data Mining, SDM 2018 | 1 | ||
22 | 2018 | 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 | 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. | 0 | 0 | |
23 | 2018 | Distributed Newton methods for deep neural networks | Wang, C.-C.; Tan, K.L.; Chen, C.-T.; Lin, Y.-H.; Keerthi, S.S.; Mahajan, D.; Sundararajan, S.; Lin, C.-J.; CHIH-JEN LIN | Neural Computation | 13 | 17 | |
24 | 2018 | Naive parallelization of coordinate descent methods and an application on multi-core L1-regularized classification | Zhuang, Y.; Yuan, G.-X.; Juan, Y.; CHIH-JEN LIN | International Conference on Information and Knowledge Management, Proceedings | 7 | 0 | |
25 | 2018 | An efficient alternating newton method for learning factorization machines | Chin, W.-S.; Yuan, B.-W.; Yang, M.-Y.; Lin, C.-J.; CHIH-JEN LIN | ACM Transactions on Intelligent Systems and Technology | 4 | 3 | |
26 | 2017 | A unified algorithm for one-cass structured matrix factorization with side information | Yu H.-F; Huang H.-Y; Dihillon I.S; Lin C.-J.; CHIH-JEN LIN | 31st AAAI Conference on Artificial Intelligence, AAAI 2017 | 14 | ||
27 | 2017 | Automatic Valve Plane Localization in Myocardial Perfusion SPECT/CT by Machine Learning: Anatomic and Clinical Validation | Betancur, Julian; Rubeaux, Mathieu; Fuchs, Tobias A.; Otaki, Yuka; Arnson, Yoav; Slipczuk, Leandro; Benz, Dominik C.; Germano, Guido; Dey, Damini; Lin, Chih-Jen; Berman, Daniel S.; Kaufmann, Philipp A.; Slomka, Piotr J.; CHIH-JEN LIN | Journal of Nuclear Medicine | 44 | 39 | |
28 | 2017 | A study on trust region update rules in Newton methods for large-scale linear classification | Hsia C.-Y; Zhu Y; Lin C.-J.; CHIH-JEN LIN | Journal of Machine Learning Research | 11 | ||
29 | 2017 | Selection of Negative Samples for One-class Matrix Factorization. | Yu, Hsiang-Fu; Bilenko, Mikhail; Lin, Chih-Jen; CHIH-JEN LIN | Proceedings of the 2017 SIAM International Conference on Data Mining, Houston, Texas, USA, April 27-29, 2017. | 0 | 0 | |
30 | 2017 | Limited-memory Common-directions Method for Distributed Optimization and its Application on Empirical Risk Minimization. | Lee, Ching-Pei; Wang, Po-Wei; Chen, Weizhu; Lin, Chih-Jen; CHIH-JEN LIN | Proceedings of the 2017 SIAM International Conference on Data Mining, Houston, Texas, USA, April 27-29, 2017. | 0 | 0 | |
31 | 2016 | Parallel Dual Coordinate Descent Method for Large-scale Linear Classification in Multi-core Environments. | Chiang, Wei-Lin; Lee, Mu-Chu; Lin, Chih-Jen; CHIH-JEN LIN | Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016 | 31 | 0 | |
32 | 2016 | Linear and Kernel Classification: When to Use Which? | Huang, Hsin-Yuan; Lin, Chih-Jen; CHIH-JEN LIN | Proceedings of the 2016 SIAM International Conference on Data Mining, Miami, Florida, USA, May 5-7, 2016 | 0 | 0 | |
33 | 2016 | Field-aware Factorization Machines for CTR Prediction. | Juan, Yu-Chin; Zhuang, Yong; Chin, Wei-Sheng; Lin, Chih-Jen; CHIH-JEN LIN | Proceedings of the 10th ACM Conference on Recommender Systems, Boston, MA, USA, September 15-19, 2016 | 527 | 0 | |
34 | 2016 | Fast matrix-vector multiplications for large-scale logistic regression on shared-memory systems | Lee, M.-C.; Chiang, W.-L.; CHIH-JEN LIN | IEEE International Conference on Data Mining | 16 | 0 | |
35 | 2015 | Warm Start for Parameter Selection of Linear Classifiers. | Chu, Bo-Yu; Ho, Chia-Hua; Tsai, Cheng-Hao; Lin, Chieh-Yen; CHIH-JEN LIN | Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015 | 22 | 0 | |
36 | 2015 | A fast parallel stochastic gradient method for matrix factorization in shared memory systems | Chin, W.-S.; Zhuang, Y.; Juan, Y.-C.; Lin, C.-J.; CHIH-JEN LIN | ACM Transactions on Intelligent Systems and Technology | 77 | 63 | |
37 | 2015 | A Learning-Rate Schedule for Stochastic Gradient Methods to Matrix Factorization. | Chin, Wei-Sheng; Zhuang, Yong; Juan, Yu-Chin; Lin, Chih-Jen; 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 | 41 | 0 | |
38 | 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 | |
39 | 2015 | Subsampled Hessian Newton methods for supervised learning | Wang, C.-C.; Huang, C.-C.; Lin, C.-J.; CHIH-JEN LIN | Neural Computation | 12 | 10 | |
40 | 2015 | Distributed Newton methods for regularized logistic regression | Zhuang, Y.; Chin, W.-S.; Juan, Y.-C.; Lin, C.-J.; CHIH-JEN LIN | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 20 | 0 | |
41 | 2015 | A learning-rate schedule for stochastic gradient methods to matrix factorization | Chin, W.-S.; Zhuang, Y.; Juan, Y.-C.; Lin, C.-J.; CHIH-JEN LIN | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 41 | 0 | |
42 | 2015 | Distributed Newton Methods for Regularized Logistic Regression. | Zhuang, Yong; Chin, Wei-Sheng; Juan, Yu-Chin; Lin, Chih-Jen; 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 II | 20 | 0 | |
43 | 2015 | Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013 | CHIH-JEN LIN | Journal of Machine Learning Research | |||
44 | 2015 | Effective string processing and matching for author disambiguation | CHIH-JEN LIN | Journal of Machine Learning Research | |||
45 | 2014 | Incremental and decremental training for linear classification | Tsai, C.-H.; Lin, C.-Y.; CHIH-JEN LIN | ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | 56 | 0 | |
46 | 2014 | Iteration complexity of feasible descent methods for onvex optimization | Wang, P.-W.; Lin, C.-J.; CHIH-JEN LIN | Journal of Machine Learning Research | 89 | ||
47 | 2014 | Big data small footprint: The design of a low-power classifier for detecting transportation modes | Yu, M.-C.; Yu, T.; Wang, S.-C.; Lin, C.-J.; Chang, E.Y.; CHIH-JEN LIN | VLDB Endowment | |||
48 | 2014 | Big data small footprint: The design of a low-power classifier for detecting transportation modes | Yu, M.-C.; Yu, T.; Wang, S.-C.; Lin, C.-J.; Chang, E.Y.; CHIH-JEN LIN | Proceedings of the VLDB Endowment | 83 | 0 | |
49 | 2014 | Large-scale kernel rankSVM | Kuo, T.-M.; Lee, C.-P.; CHIH-JEN LIN | SIAM International Conference on Data Mining 2014 | 32 | 0 | |
50 | 2014 | Improved derivation efficiency and pluripotency of stem cells from the refractory inbred C57BL/6 mouse strain by small molecules | Lin, C.-J.; Amano, T.; Tang, Y.; Tian, X.; CHIH-JEN LIN | PLoS ONE | 4 | 4 | |
51 | 2014 | Support vector machines | Wang, P.-W.; Lin, C.-J.; CHIH-JEN LIN | Data Classification: Algorithms and Applications | 22 | 0 | |
52 | 2014 | Support Vector Machines. | Wang, Po-Wei; Lin, Chih-Jen; CHIH-JEN LIN | Data Classification: Algorithms and Applications | |||
53 | 2014 | Large-scale linear rankSVM | Lee, C.-P.; CHIH-JEN LIN | Neural Computation | 92 | 64 | |
54 | 2013 | Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013 | 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; SHOU-DE LIN ; HSUAN-TIEN LIN ; CHIH-JEN LIN | Proceedings of the 2013 KDD Cup 2013 Workshop | 9 | 0 | |
55 | 2013 | Effective string processing and matching for author disambiguation | 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; SHOU-DE LIN ; HSUAN-TIEN LIN ; CHIH-JEN LIN | Proceedings of the 2013 KDD Cup 2013 Workshop | 8 | 0 | |
56 | 2013 | Effective string processing and matching for author disambiguation. | Chin, Wei-Sheng et al.; 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 ; CHIH-JEN LIN | Proceedings of the 2013 KDD Cup 2013 Workshop, KDD Cup 2013, Chicago, Illinois, USA, August 11-14, 2013 | 8 | 0 | |
57 | 2013 | Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013. | Li, Chun-Liang et al.; 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, Hsuan-Tien; CHIH-JEN LIN ; SHOU-DE LIN | Proceedings of the 2013 KDD Cup 2013 Workshop, KDD Cup 2013, Chicago, Illinois, USA, August 11-14, 2013 | 9 | 0 | |
58 | 2013 | Comparison of Feature Selection Methods for Cross-Laboratory Microarray Analysis | Liu H.-C.; Peng P.-C.; Hsieh T.-C.; Yeh T.-C.; Lin C.-J.; Chen C.-Y.; Hou J.-Y.; Shih L.-Y.; CHIH-JEN LIN ; CHIEN-YU CHEN | IEEE/ACM Transactions on Computational Biology and Bioinformatics | 17 | 12 | |
59 | 2013 | Dense Non-rigid Point-Matching Using Random Projections. | Hamid, Raffay; DeCoste, Dennis; CHIH-JEN LIN | 2013 IEEE Conference on Computer Vision and Pattern Recognition, Portland, OR, USA, June 23-28, 2013 | 11 | 0 | |
60 | 2013 | A study on L2-loss (Squared Hinge-Loss) multiclass SVM | Lee, C.-P.; CHIH-JEN LIN | Neural Computation | 55 | 46 | |
61 | 2013 | A fast parallel SGD for matrix factorization in shared memory systems. | Zhuang, Yong; Chin, Wei-Sheng; Juan, Yu-Chin; CHIH-JEN LIN | Seventh ACM Conference on Recommender Systems, RecSys '13, Hong Kong, China, October 12-16, 2013 | 116 | 0 | |
62 | 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 | |
63 | 2012 | Recent advances of large-scale linear classification | Yuan, G.-X.; Ho, C.-H.; Lin, C.-J.; CHIH-JEN LIN | Proceedings of the IEEE | 217 | 176 | |
64 | 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 | |
65 | 2012 | An improved GLMNET for l1-regularized logistic regression | Yuan, G.-X.; Ho, C.-H.; Lin, C.J.; CHIH-JEN LIN | Journal of Machine Learning Research | |||
66 | 2012 | Large-scale linear support vector regression | Ho, C.-H.; Lin, C.-J.; CHIH-JEN LIN | Journal of Machine Learning Research | 122 | ||
67 | 2012 | Experiences and lessons in developing industry-strength machine learning and data mining software. | CHIH-JEN LIN | The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012 | |||
68 | 2011 | A Linear Ensemble of Individual and Blended Models for Music Rating Prediction | Chen, Po-Lung; Lin, Hsuan-Tien ; Lin, Chih-Jen ; Lin, Shou-De et al. | KDD Cup | |||
69 | 2011 | Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music Recommendation | McKenzie, Todd G.; Lin, Hsuan-Tien ; Lin, Chih-Jen ; Lin, Shou-De et al. | KDD Cup | |||
70 | 2011 | An improved GLMNET for l1-regularized logistic regression. | Yuan, Guo-Xun; Ho, Chia-Hua; CHIH-JEN LIN | Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011 | 28 | 0 | |
71 | 2011 | Impact of phase transition on the mouse oocyte spindle during vitrification | Chang, Ching-Chien; Lin, Chih-Jen; Sung, Li-Ying; Kort, Hilton I.; Tian, X. Cindy; LI-YING SUNG ; CHIH-JEN LIN | Reproductive Biomedicine Online | 20 | 21 | |
72 | 2011 | LIBSVM: A Library for support vector machines | Chang, C.-C.; Lin, C.-J.; CHIH-JEN LIN | ACM Transactions on Intelligent Systems and Technology | 26528 | 24670 | |
73 | 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 | |
74 | 2011 | Parallel spectral clustering in distributed systems | Chen, W.-Y.; Song, Y.; Bai, H.; Lin, C.-J.; Chang, E.Y.; CHIH-JEN LIN | IEEE Transactions on Pattern Analysis and Machine Intelligence | 504 | 358 | |
75 | 2011 | Dual coordinate descent methods for logistic regression and maximum entropy models | Yu, H.-F.; Huang, F.-L.; Lin, C.-J.; CHIH-JEN LIN | Machine Learning | 275 | 210 | |
76 | 2011 | Expression of HOXB genes is significantly different in acute myeloid leukemia with a partial tandem duplication of MLL vs. a MLL translocation: A cross-laboratory study | Liu, H.-C.; Shih, L.-Y.; May Chen, M.-J.; Wang, C.-C.; Yeh, T.-C.; Lin, T.-H.; Chen, C.-Y.; Lin, C.-J.; Liang, D.-C.; CHIH-JEN LIN ; CHIEN-YU CHEN | Cancer Genetics | 12 | 11 | |
77 | 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 | |
78 | 2011 | A Bayesian approximation method for online ranking | Weng, R.C.; Lin, C.-J.; CHIH-JEN LIN | Journal of Machine Learning Research | 44 | ||
79 | 2010 | Training and Testing Low-degree Polynomial Data Mappings via Linear SVM | Chang, Yin-Wen; Hsieh, Cho-Jui; Chang, Kai-Wei; Ringgaard, Michael; Lin, Chih-Jen | Journal of Machine Learning Research | |||
80 | 2010 | Active learning strategies using SVMs. | Tsai, Ming-Hen; Ho, Chia-Hua; CHIH-JEN LIN | International Joint Conference on Neural Networks, IJCNN 2010, Barcelona, Spain, 18-23 July, 2010 | 7 | 0 | |
81 | 2010 | Efficient Derivation of Embryonic Stem Cells from Nuclear Transfer and Parthenogenetic Embryos Derived from Cryopreserved Oocytes | 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; LI-YING SUNG ; CHIH-JEN LIN | Cellular Reprogramming | 16 | 16 | |
82 | 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 | |
83 | 2010 | Iterative scaling and coordinate descent methods for maximum entropy models | Huang, F.-L.; Hsieh, C.-J.; Chang, K.-W.; Lin, C.-J.; CHIH-JEN LIN | Journal of Machine Learning Research | |||
84 | 2010 | A comparison of optimization methods and software for large-scale L1-regularized linear classification | Yuan, G.-X.; Chang, K.W.; Hsieh, C.-J.; Lin, C.-J.; CHIH-JEN LIN | Journal of Machine Learning Research | |||
85 | 2010 | Designing, Analyzing and Exploiting Stake-Based Social Networks. | Kuo, Tsung-Ting; Yeh, Jung-Jung; Lin, Chih-Jen; SHOU-DE LIN ; CHIH-JEN LIN | International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2010, Odense, Denmark, August 9-11, 2010 | 1 | 0 | |
86 | 2010 | Feature Engineering and Classifier Ensemble for KDD Cup 2010 | Yu, Hsiang-Fu; Lo, Yi-Chen ; Lin, Shou-de ; Lin, Hsuan-Tien ; Lin, Chih-Jen et al. | KDDCup | |||
87 | 2009 | Iterative scaling and coordinate descent methods for maximum entropy | Huang, F.-L.; Hsieh, C.-J.; Chang, K.-W.; Lin, C.-J.; CHIH-JEN LIN | Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP | 4 | 0 | |
88 | 2009 | Decomposition algorithm model for singly linearly-constrained problems subject to lower and upper bounds | Lin, C.J.; Lucidi, S.; Palagi, L.; Risi, A.; Sci; rone, M.; CHIH-JEN LIN | Journal of Optimization Theory and Applications | 35 | 31 | |
89 | 2008 | SVM 在結構資料上的應用 (新制多年期第1年) | 林智仁 | ||||
90 | 2008 | Derivation of embryonic stem cell by nuclear transfer using cryopreserved eggs | Chang, Ching-Chien; Sung, Li-Ying ; Amano, Tomokazu; Amano, Misa; Lin, Chih-Jen ; Nagy, Zsolt Peter; Xu, Jie; Tian, Xiuchun Cindy; Yang, Xiangzhong | Biology of Reproduction | |||
91 | 2008 | Trust Region Newton Method for Logistic Regression | Lin, Chih-Jen ; Weng, Ruby C.; Keerthi, S. Sathiya | The Journal of Machine Learning Research | |||
92 | 2008 | 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 | Machine Learning, Proceedings of the Twenty-Fifth International Conference (ICML 2008), Helsinki, Finland, June 5-9, 2008 | 728 | 0 | |
93 | 2008 | A dual coordinate descent method for large-scale linear SVM | Hsieh, C.-J.; Chang, K.-W.; Lin, C.-J.; Keerthi, S.S.; Sundararajan, S.; CHIH-JEN LIN | 25th International Conference on Machine Learning | |||
94 | 2008 | LIBLINEAR: A library for large linear classification | Fan, R.-E.; Chang, K.-W.; Hsieh, C.-J.; Wang, X.-R.; Lin, C.-J.; CHIH-JEN LIN | Journal of Machine Learning Research | 6171 | 4596 | |
95 | 2008 | Parallel spectral clustering | Song, Y.; Chen, W.-Y.; Bai, H.; Lin, C.-J.; Chang, E.Y.; CHIH-JEN LIN | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 56 | 0 | |
96 | 2008 | Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines- | Chang, Kai-Wei; Hsieh, Cho-Jui; Lin, Chih-Jen | The Journal of Machine Learning Research | |||
97 | 2008 | Ranking individuals by group comparisons | Huang, T.-K.; Lin, C.-J.; Weng, R.C.; CHIH-JEN LIN | Journal of Machine Learning Research | |||
98 | 2008 | Trust region Newton method for large-scale logistic regression | Lin, C.-J.; Weng, R.C.; Sathiya Keerthi, S.; CHIH-JEN LIN | Journal of Machine Learning Research | |||
99 | 2008 | Parallel Spectral Clustering. | Song, Yangqiu; Chen, WenYen; Bai, Hongjie; Lin, Chih-Jen; Chang, Edward Y.; CHIH-JEN LIN | Machine Learning and Knowledge Discovery in Databases, European Conference, ECML/PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II | 56 | 0 | |
100 | 2008 | A sequential dual method for large scale multi-class linear svms. | Keerthi, S. Sathiya; Sundararajan, S.; Chang, Kai-Wei; Hsieh, Cho-Jui; CHIH-JEN LIN | Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, Nevada, USA, August 24-27, 2008 | 115 | 0 | |
101 | 2008 | Cross-generation and cross-laboratory predictions of Affymetrix microarrays by rank-based methods | Liu, Hsi-Che; CHIEN-YU CHEN ; Liu, Yu-Ting; Chu, Cheng-Bang; Liang, Der-Cherng; Shih, Lee-Yung; CHIH-JEN LIN | Journal of Biomedical Informatics | 20 | 18 | |
102 | 2007 | SVM 在結構資料上的應用 (新制多年期第2年) | 林智仁 | ||||
103 | 2007 | The NTU toolkit and framework for high-level feature detection at TRECVID 2007 | Weng, Ming Fang; Chen, Chun Kang; YI-HSUAN YANG ; Fan, Rong En; Hsieh, Yu Ting; Chunag, Yung Yu; WINSTON HSU ; CHIH-JEN LIN | 2007 TREC Video Retrieval Evaluation Notebook Papers | 1 | ||
104 | 2007 | New challenges in semantic concept detection | Weng, M.-F.; Chen, C.-K.; Yang, Y.-H.; Fan, R.-E.; Hsieh, Y.-T.; Chuang, Y.-Y.; Hsu, W.H.; Lin, C.-J.; CHIH-JEN LIN | 2007 TREC Video Retrieval Evaluation Notebook Papers | |||
105 | 2007 | A note on Platt's probabilistic outputs for support vector machines | Lin, Hsuan-Tien ; Lin, Chih-Jen ; Weng, Ruby C. | Machine Learning | 618 | ||
106 | 2007 | Projected gradient methods for nonnegative matrix factorization | Lin, Chih-Jen | Neural Computation | 1328 | 1064 | |
107 | 2007 | Trust region Newton methods for large-scale logistic regression. | Lin, Chih-Jen; Weng, Ruby C.; CHIH-JEN LIN | Machine Learning, Proceedings of the Twenty-Fourth International Conference (ICML 2007), Corvallis, Oregon, USA, June 20-24, 2007 | 87 | 0 | |
108 | 2007 | The NTU toolkit and framework for high-level feature detection at TRECVID 2007 | Weng, M.-F.; Chen, C.-K.; Yang, Y.-H.; Fan, R.-E.; Hsieh, Y.-T.; Chunag, Y.-Y.; Hsu, W.H.; Lin, C.-J.; CHIH-JEN LIN | 2007 TREC Video Retrieval Evaluation Notebook Papers | |||
109 | 2007 | On the convergence of multiplicative update algorithms for nonnegative matrix factorization | CHIH-JEN LIN | IEEE Transactions on Neural Networks | |||
110 | 2006 | Generalized Bradley-Terry models and multi-class probability estimates | Huang, Tzu-Kuo; Weng, Ruby C.; Lin, Chih-Jen; CHIH-JEN LIN | Journal of Machine Learning Research | 130 | 102 | |
111 | 2006 | Ranking individuals by group comparisons. | Huang, Tzu-Kuo; Lin, Chih-Jen; CHIH-JEN LIN | Machine Learning, Proceedings of the Twenty-Third International Conference (ICML 2006), Pittsburgh, Pennsylvania, USA, June 25-29, 2006 | 7 | 0 | |
112 | 2006 | On the Convergence of Multiplicative Update Algorithms for Non-negative Matrix Factorization | Lin, Chih-Jen | ||||
113 | 2006 | Projected Gradient Methods for Non-negative Matrix Factorization | Lin, Chih-Jen | ||||
114 | 2006 | LIBSVM: a Library for Support Vector Machines | Chang, Chih-Chung; Lin, Chih-Jen | ||||
115 | 2006 | Combining SVMs with various feature selection strategies | Chen, Y.-W.; CHIH-JEN LIN | Studies in Fuzziness and Soft Computing | 611 | 0 | |
116 | 2006 | A study on SMO-type decomposition methods for support vector machines | Chen, Pai-Hsuen; Fan, Rong-En; Lin, Chih-Jen; CHIH-JEN LIN | IEEE Transactions on Neural Networks | 244 | 201 | |
117 | 2005 | Optimization, Support Vector Machines, and Machine Learning | Lin, Chih-Jen | ||||
118 | 2005 | Combining svms with various feature selection strategies | Chen, Yi-Wei; Lin, Chih-Jen | ||||
119 | 2005 | a study on sigmoid kernels for svm and the training of non-psd | Lin, Hsuan-Tien ; Lin, Chih-Jen | ||||
120 | 2005 | Training Support Vector Machines via SMO-Type Decomposition Methods. | Chen, Pai-Hsuen; Fan, Rong-En; Lin, Chih-Jen; CHIH-JEN LIN | Algorithmic Learning Theory, 16th International Conference, ALT 2005, Singapore, October 8-11, 2005, Proceedings | 6 | 0 | |
121 | 2005 | Working Set Selection Using Second Order Information for Training Support Vector Machines | Fan, Rong-En; Chen, Pai-Hsuen; Lin, Chih-Jen | Journal of Machine Learning Research | |||
122 | 2005 | A Tutorial on $nu$-Support Vector Machines | Chen, Pai-Hsuen; Lin, Chih-Jen ; Scholkopf, Bernhard | Applied Stochastic Models in Business and Industry | |||
123 | 2005 | A generalized bradley-terry model: From group competition to individual skill | Huang, T.-K.; Lin, C.-J.; Weng, R.C.; CHIH-JEN LIN | Advances in Neural Information Processing Systems | |||
124 | 2005 | 如何使Support Vector Machine成為主要的classification方法之一(2/3) | 林智仁 | ||||
125 | 2005 | Working set selection using second order information for training support vector machines | Fan, R.-E.; Chen, P.-H.; Lin, C.-J.; CHIH-JEN LIN | Journal of Machine Learning Research | |||
126 | 2005 | Leave-one-out Bounds for Support Vector Regression Model Selection | Chang, Ming-Wei; Lin, Chih-Jen | Neural Computation | 105 | 74 | |
127 | 2005 | A tutorial on v-support vector machines | Chen, P.-H.; Lin, C.-J.; Sch?lkopf, B.; CHIH-JEN LIN | Applied Stochastic Models in Business and Industry | 397 | 290 | |
128 | 2005 | Working Set Selection Using Second Order Information for Training SVM | Lin, Chih-Jen | ||||
129 | 2004 | Decomposition methods for linear support vector machines | Kao, Wei-Chun; Chung, Kai-Min; Sun, Chia-Liang; Lin, Chih-Jen; CHIH-JEN LIN | Neural Computation | 36 | 27 | |
130 | 2004 | Probability Estimates for Multi-class Classification by Pairwise Coupling | Wu, Ting-Fan; Lin, Chih-Jen ; Ruby, C. Weng | ||||
131 | 2004 | Simple Probabilistic Predictions for Support Vector Regression | Lin, Chih-Jen ; Weng, Ruby-C. | ||||
132 | 2004 | 如何使Support Vector Machine成為主要的classification方法之一(1/3) | 林智仁 | ||||
133 | 2004 | Prediction of the bonding states of cysteines using the support vector machines based on multiple feature vectors and cysteine state sequences | Chen, Y.-C.; Lin, Y.-S.; Lin, C.-J.; Hwang, J.-K.; CHIH-JEN LIN | Proteins: Structure, Function and Genetics | 60 | 46 | |
134 | 2004 | Probability estimates for multi-class classification by pairwise coupling | Wu, T.-F.; Lin, C.-J.; Weng, R.C.; CHIH-JEN LIN | Advances in Neural Information Processing Systems | |||
135 | 2004 | Support vector machines for data classification and regression | Lin, Chih-Jen | ||||
136 | 2004 | Analysis of switching dynamics with competing support vector machines | Chang, Ming-Wei; Lin, Chih-Jen; Weng, R.C.-H.; CHIH-JEN LIN | IEEE Transactions on Neural Networks | 15 | 15 | |
137 | 2004 | Decomposition Methods for Linear Support Vector Machines | Kao, Wei-Chun; Chung, Kai-Min; Sun, Chia-Liang; Lin, Chih-Jen | ||||
138 | 2004 | Load forecasting using support vector machines: A study on EUNITE competition 2001 | Chen, Bo-Juen; Chang, Ming-Wei; Lin, Chih-Jen | IEEE Transactions on Power Systems | 696 | ||
139 | 2004 | Predicting subcellular localization of proteins for Gram-negative bacteria by support vector machines based on n-peptide compositions | Yu, C.-S.; Lin, C.-J.; Hwang, J.-K.; CHIH-JEN LIN | Protein Science | 683 | 626 | |
140 | 2004 | Support vector machines for data classification | Lin, Chih-Jen | ||||
141 | 2004 | Some Thoughts on Machine Learning Software Design | Lin, Chih-Jen | ||||
142 | 2003 | a tutorial on ν -support vector machines | Chen, Pai-Hsuen; Lin, Chih-Jen ; Scholkopf, Bernhard | ||||
143 | 2003 | Can Support Vector Machine be a Major Classification Method ? | Lin, Chih-Jen | ||||
144 | 2003 | Asymptotic behaviors of support vector machines with gaussian kernel | Keerthi, S. Sathiya; Lin, Chih-Jen; CHIH-JEN LIN | Neural Computation | 1461 | 1139 | |
145 | 2003 | Decomposition methods for linear support vector machines. | Chung, Kai-Min; Kao, Wei-Chun; Sun, Tony; Lin, Chih-Jen; CHIH-JEN LIN | 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '03, Hong Kong, April 6-10, 2003 | 0 | 0 | |
146 | 2003 | Special issue on support vector machines | Campbell, C.; Lin, C.-J.; Keerthi, S.S.; CHIH-JEN LIN | Neurocomputing | 5 | 1 | |
147 | 2003 | Fine-grained protein fold assignment by support vector machines using generalized npeptide coding schemes and jury voting from multiple-parameter sets | Yu, Chin-Sheng; Wang, Jung-Ying; Yang, Jinn-Moon; Lyu, Ping-Chiang; Lin, Chih-Jen ; Hwang, Jenn-Kang | Proteins Structure Function and Bioinformatics | 30 | 25 | |
148 | 2003 | A practical guide to support vector classification | Hsu, Chih-Wei; Chang, Chih-Chung; Lin, Chih-Jen | ||||
149 | 2003 | A study of reduced support vector machines | Lin, Kuan-Min; Lin, Chih-Jen; CHIH-JEN LIN | IEEE Transactions on Neural Networks | 215 | 169 | |
150 | 2003 | Radius Margin Bounds for Support Vector Machines with the RBF Kernel | Chung, Kai-Min; Kao, Wei-Chun; Sun, Chia-Liang; Wang, Li-Lun; Lin, Chih-Jen; CHIH-JEN LIN | Neural Computation | 184 | 150 | |
151 | 2003 | A robust evolutionary algorithm for global optimization | Yang, J. M; CHIH-JEN LIN ; Kao, C. Y. | Engineering Optimization | 3 | 3 | |
152 | 2003 | A practical guide to support vector classification | Lin, Chih-Jen | ||||
153 | 2003 | 支撐向量法解多種類資料之分類(2/2) | 林智仁 | ||||
154 | 2002 | Adaptive deterministic annealing for two applications: competing SVR of switching dynamics and travelling salesman problems | Chang, Ming-Wei; Lin, Chih-Jen ; Weng, Ruby C. | 9th International Conference on Neural Information Processing | |||
155 | 2002 | Analysis of Switching Dynamics with Competing Support Vector Machines | Chang, Ming-Wei; Lin, Chih-Jen ; Weng, R.C. | ||||
156 | 2002 | Analysis of Nonstationary Time Series Using Support Vector Machines. | Chang, Ming-Wei; Lin, Chih-Jen; Weng, Ruby C.; CHIH-JEN LIN | Pattern Recognition with Support Vector Machines, First International Workshop, SVM 2002, Niagara Falls, Canada, August 10, 2002, Proceedings | 7 | 0 | |
157 | 2002 | Radius margin bounds for support vector machines with the RBF kernel | Chung, K.-M.; Kao, W.-C.; Sun, T.; Wang, L.-L.; Lin, C.-J.; CHIH-JEN LIN | ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age | 6 | 0 | |
158 | 2002 | Training v-support vector regression: Theory and algorithms | Chang, Chih-Chung; Lin, Chih-Jen | Neural Computation | 274 | 230 | |
159 | 2002 | Analysis of nonstationary time series using support vector machines | Chang, M.-W.; Lin, C.-J.; Weng, R.C.; CHIH-JEN LIN | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 7 | 0 | |
160 | 2002 | 支撐向量法解多種類資料之分類(1/2) | 林智仁 | ||||
161 | 2002 | Asymptotic convergence of an SMO algorithm without any assumptions | CHIH-JEN LIN | IEEE Transactions on Neural Networks | 115 | 0 | |
162 | 2002 | A comparison of methods for multiclass support vector machines | Hsu, C.-W.; Lin, C.-J.; CHIH-JEN LIN | IEEE Transactions on Neural Networks | 6300 | 4888 | |
163 | 2002 | Adaptive deterministic annealing for two applications: Competing SVR of switching dynamics and travelling salesman problems | Chang, M.-W.; Lin, C.-J.; Weng, R.C.; CHIH-JEN LIN | ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age | 1 | 0 | |
164 | 2002 | A note on the decomposition methods for support vector regression | Liao, Shuo-Peng; Lin, Hsuan-Tien; Lin, Chih-JenLiao, S.-P.; Lin, H.-T.; Lin, C.-J.; HSUAN-TIEN LIN ; CHIH-JEN LIN | Neural Computation | 20 | 18 | |
165 | 2002 | A Simple Decomposition Method for Support Vector Machines | Hsu, Chih-Wei; Lin, Chih-Jen | Machine Learning | |||
166 | 2002 | A formal analysis of stopping criteria of decomposition methods for support vector machines | CHIH-JEN LIN | IEEE Transactions on Neural Networks | |||
167 | 2002 | Errata to "A comparison of methods for multiclass support vector machines". | CHIH-JEN LIN | IEEE Trans. Neural Networks | |||
168 | 2002 | Erratum: On the convergence of the decomposition method for support vector machines (IEEE Transactions on Neural Networks (November 2001) 12 (1288-1298)) | CHIH-JEN LIN | IEEE Transactions on Neural Networks | |||
169 | 2001 | Asymptotic convergence of an SMO algorithm without any assumptions | Lin, Chih-Jen | ||||
170 | 2001 | IJCNN 2001 challenge: generalization ability and text decoding | Chang, Chih-Chung; Lin, Chih-Jen | International Joint Conference on Neural Networks | 0 | 0 | |
171 | 2001 | A note on the decomposition methods for support vector regression | Liao, Shuo-Peng; Lin, Hsuan-Tien ; Lin, Chih-Jen | International Joint Conference on Neural Networks | 0 | 0 | |
172 | 2001 | Training ν-support vector classifiers: Theory and algorithms | Chang, C.-C.; Lin, C.-J.; CHIH-JEN LIN | Neural Computation | 417 | 342 | |
173 | 2001 | Optical coating design using the family competition evolutionaty algorithm | Yang, Jinn-Moon; Horng, Jorng-Tzong; Lin, Chih-Jen ; Kao, Cheng-Yan | Evolutionary Computation | |||
174 | 2001 | Optical Coating Designs Using the Family Competition Evolutionary Algorithm. | Yang, Jinn-Moon; Horng, Jorng-Tzong; Lin, Chih-Jen; Kao, Cheng-Yan; CHIH-JEN LIN | Evolutionary Computation | 7 | 8 | |
175 | 2001 | Formulations of support vector machines: a note from an optimization point of view | Lin, Chih-Jen | Neural Computation | 78 | ||
176 | 2001 | Solving General Capacity Problem by Relaxed Cutting Plane Approach | Wu, Soon-Yi; Fang, Shu-Cherng; Lin, Chih-Jen; CHIH-JEN LIN | Annals of Operations Research | 4 | 4 | |
177 | 2001 | Linear Convergence of a Decomposition Method for Support Vector Machines | Lin, Chih-Jen | ||||
178 | 2001 | Training v-Support Vector Classifiers: Theory and Algorithms | Chang, Chih-Chung; Lin, Chih-Jen | Neural Computation | |||
179 | 2001 | 支撐向量法與統計學習理論 | 林智仁 | ||||
180 | 2001 | Solving quadratic semi-infinite programming problems by using relaxed cutting-plane scheme | Fang, Shu-Cherng; Lin, Chih-Jen; Wu, Soon-Yi; CHIH-JEN LIN | Journal of Computational and Applied Mathematics | 17 | 15 | |
181 | 2001 | On the convergence of the decomposition method for support vector machines | CHIH-JEN LIN | IEEE Transactions on Neural Networks | |||
182 | 2000 | 支援向量方法解模型辨識問題 | 林智仁 | ||||
183 | 2000 | The analysis of decomposition methods for support vector machines | Chang, Chih-Chung; Hsu, Chih-Wei; Lin, Chih-Jen; CHIH-JEN LIN | IEEE Transactions on Neural Networks | 134 | 111 | |
184 | 2000 | An Incomplete Cholesky Factorization for Dense Symmetric Positive Definite Matrices | Lin, Chih-Jen ; Saigal, Romesh | BIT Numerical Mathematics | 19 | 18 | |
185 | 1999 | Newton's method for large bound-constrained optimization problems | Lin, C.-J.; Mor\\'e; CHIH-JEN LIN | SIAM Journal on Optimization | 246 | 217 | |
186 | 1999 | 網際網路計算之研究 | 林智仁 | ||||
187 | 1999 | Incomplete Cholesky factorizations with limited memory | Lin, C.-J.; Mor\\'e; CHIH-JEN LIN | SIAM Journal on Scientific Computing | 115 | 106 | |
188 | 1998 | Relaxed cutting plane method for solving linear semi-infinite programming problems | Wu, S.Y.; Fang, S.C.; Lin, C.J.; CHIH-JEN LIN | Journal of Optimization Theory and Applications | 21 | 21 | |
189 | 1998 | An unconstrained convex programming approach to linear semi-infinite programming | Lin, C.-J.; Fang, S.-C.; Wu, S.-Y.; CHIH-JEN LIN | SIAM Journal on Optimization | |||
190 | 1998 | Efficient test-point selection for scan-based BIST | Tsai, H.-C.; Cheng, K.-T.; Lin, C.-J.; Bhawmik, S.; CHIH-JEN LIN | IEEE Transactions on Very Large Scale Integration (VLSI) Systems | 19 | 14 | |
191 | 1997 | 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 | Proceedings of the 34st Conference on Design Automation, Anaheim, California, USA, Anaheim Convention Center, June 9-13, 1997. | 0 | 0 | |
192 | 1996 | Parametric linear semi-infinite programming | Lin, C.-J.; Fang, S.-C.; Wu, S.-Y.; CHIH-JEN LIN | Applied Mathematics Letters | 2 | 1 | |
193 | 1995 | Integration of partial scan and built-in self-test. | Lin, Chih-Jen; Zorian, Yervant; Bhawmik, Sudipta; CHIH-JEN LIN | J. Electronic Testing | 20 | 23 | |
194 | 1995 | Implementation of an inexact approach to solving linear semi-infinite programming problems | Lin, Chih-Jen ; Yang, Eugene K.; Fang, Shu-Cherng; Wu, Soon-Yi | Journal of Computational and Applied Mathematics | 4 | 6 | |
195 | 1995 | Timing-Driven Test Point Insertion for Full-Scan and Partial-Scan BIST. | Cheng, Kwang-Ting; Lin, Chih-Jen; CHIH-JEN LIN | Proceedings IEEE International Test Conference 1995, Driving Down the Cost of Test, Washington, DC, USA, October 21-25, 1995 | 0 | 0 | |
196 | 1994 | On solving convex quadratic semi-infinite programming problems | Fang, Shu-Cherng; Lin, Chih-Jen ; Wu, Soon-Yi | Optimization | |||
197 | 1993 | PSBIST: A Partial-Scan Based Built-In Self-Test Scheme. | Lin, Chih-Jen; Zorian, Yervant; Bhawmik, Sudipta; CHIH-JEN LIN | Proceedings IEEE International Test Conference 1993, Designing, Testing, and Diagnostics - Join Them, Baltimore, Maryland, USA, October 17-21, 1993 | 0 | 0 | |
198 | 1993 | Built-In Current Sensor for IDDQ Test in CMOS. | Hsue, Ching-Wen; Lin, Chih-Jen; CHIH-JEN LIN | Proceedings IEEE International Test Conference 1993, Designing, Testing, and Diagnostics - Join Them, Baltimore, Maryland, USA, October 17-21, 1993 | 0 | 0 | |
199 | 1991 | Enhanced Controllability for IDDQ Test Sets Using Partial Scan. | Chakraborty, Tapan J.; Bhawmik, Sudipta; Bencivenga, Robert; Lin, Chih-Jen; CHIH-JEN LIN | Proceedings of the 28th Design Automation Conference, San Francisco, California, USA, June 17-21, 1991. | 2 | 0 | |
200 | Nov | Radius margin bounds for support vector machines with the RBF kernel | Chung, Kai-Min; Kao, Wei-Chun; Sun, Tony; Wang, Li-Lun; Lin, Chih-Jen | 9th International Conference on Neural Information Processing | |||
201 | May | Analysis of switching dynamics with competing support vector machines | Chang, Ming-Wei; Lin, Chih-Jen ; Weng, R.C. | 2002 International Joint Conference on Neural Networks | 0 | 0 | |
202 | Apr | Decomposition methods for linear support vector machines | Chung, Kai-Min; Kao, Wei-Chun; Sun, Tony; Lin, Chih-Jen | 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing |