dblp.uni-trier.dewww.uni-trier.de

Chih-Jen Lin Vis

List of publications from the DBLP Bibliography Server - FAQ
Coauthor Index - Ask others: ACM DL/Guide - CiteSeerX - CSB - MetaPress - Google - Bing - Yahoo

*2008
37EEYangqiu Song, WenYen Chen, Hongjie Bai, Chih-Jen Lin, Edward Y. Chang: Parallel Spectral Clustering. ECML/PKDD (2) 2008: 374-389
36EECho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin, S. Sathiya Keerthi, S. Sundararajan: A dual coordinate descent method for large-scale linear SVM. ICML 2008: 408-415
35EES. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin: A sequential dual method for large scale multi-class linear svms. KDD 2008: 408-416
34EEHsi-Che Liu, Chien-Yu Chen, Yu-Ting Liu, Cheng-Bang Chu, Der-Cherng Liang, Lee-Yung Shih, Chih-Jen Lin: Cross-generation and cross-laboratory predictions of Affymetrix microarrays by rank-based methods. Journal of Biomedical Informatics 41(4): 570-579 (2008)
2007
33EEChih-Jen Lin, Ruby C. Weng, S. Sathiya Keerthi: Trust region Newton methods for large-scale logistic regression. ICML 2007: 561-568
32EEChih-Jen Lin: On the Convergence of Multiplicative Update Algorithms for Nonnegative Matrix Factorization. IEEE Transactions on Neural Networks 18(6): 1589-1596 (2007)
31EEHsuan-Tien Lin, Chih-Jen Lin, Ruby C. Weng: A note on Platt's probabilistic outputs for support vector machines. Machine Learning 68(3): 267-276 (2007)
30EEChih-Jen Lin: Projected Gradient Methods for Nonnegative Matrix Factorization. Neural Computation 19(10): 2756-2779 (2007)
2006
29EETzu-Kuo Huang, Chih-Jen Lin, Ruby C. Weng: Ranking individuals by group comparisons. ICML 2006: 425-432
28EEPai-Hsuen Chen, Rong-En Fan, Chih-Jen Lin: A study on SMO-type decomposition methods for support vector machines. IEEE Transactions on Neural Networks 17(4): 893-908 (2006)
27EETzu-Kuo Huang, Ruby C. Weng, Chih-Jen Lin: Generalized Bradley-Terry Models and Multi-Class Probability Estimates. Journal of Machine Learning Research 7: 85-115 (2006)
2005
26EEPai-Hsuen Chen, Rong-En Fan, Chih-Jen Lin: Training Support Vector Machines via SMO-Type Decomposition Methods. ALT 2005: 45-62
25EEPai-Hsuen Chen, Rong-En Fan, Chih-Jen Lin: Training Support Vector Machines via SMO-Type Decomposition Methods. Discovery Science 2005: 15
24EERong-En Fan, Pai-Hsuen Chen, Chih-Jen Lin: Working Set Selection Using Second Order Information for Training Support Vector Machines. Journal of Machine Learning Research 6: 1889-1918 (2005)
23EEMing-Wei Chang, Chih-Jen Lin: Leave-One-Out Bounds for Support Vector Regression Model Selection. Neural Computation 17(5): 1188-1222 (2005)
2004
22EETzu-Kuo Huang, Chih-Jen Lin, Ruby C. Weng: A Generalized Bradley-Terry Model: From Group Competition to Individual Skill. NIPS 2004
21EETing-Fan Wu, Chih-Jen Lin, Ruby C. Weng: Probability Estimates for Multi-class Classification by Pairwise Coupling. Journal of Machine Learning Research 5: 975-1005 (2004)
20EEWei-Chun Kao, Kai-Min Chung, Chia-Liang Sun, Chih-Jen Lin: Decomposition Methods for Linear Support Vector Machines. Neural Computation 16(8): 1689-1704 (2004)
2003
19EETing-Fan Wu, Chih-Jen Lin, Ruby C. Weng: Probability Estimates for Multi-Class Classification by Pairwise Coupling. NIPS 2003
18EEKai-Min Chung, Wei-Chun Kao, Chia-Liang Sun, Li-Lun Wang, Chih-Jen Lin: Radius Margin Bounds for Support Vector Machines with the RBF Kernel. Neural Computation 15(11): 2643-2681 (2003)
17EES. Sathiya Keerthi, Chih-Jen Lin: Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel. Neural Computation 15(7): 1667-1689 (2003)
16EEColin Campbell, Chih-Jen Lin, S. Sathiya Keerthi, V. David Sánchez A.: Special issue on support vector machines. Neurocomputing 55(1-2): 1-3 (2003)
2002
15EEMing-Wei Chang, Chih-Jen Lin, Ruby C. Weng: Analysis of Nonstationary Time Series Using Support Vector Machines. SVM 2002: 160-170
14 Chih-Wei Hsu, Chih-Jen Lin: A Simple Decomposition Method for Support Vector Machines. Machine Learning 46(1-3): 291-314 (2002)
13EEShuo-Peng Liao, Hsuan-Tien Lin, Chih-Jen Lin: A Note on the Decomposition Methods for Support Vector Regression. Neural Computation 14(6): 1267-1281 (2002)
12EEChih-Chung Chang, Chih-Jen Lin: Training v -Support Vector Regression: Theory and Algorithms. Neural Computation 14(8): 1959-1977 (2002)
2001
11EESoon-Yi Wu, Shu-Cherng Fang, Chih-Jen Lin: Solving General Capacity Problem by Relaxed Cutting Plane Approach. Annals OR 103(1-4): 193-211 (2001)
10 Jinn-Moon Yang, Jorng-Tzong Horng, Chih-Jen Lin, Cheng-Yan Kao: Optical Coating Designs Using the Family Competition Evolutionary Algorithm. Evolutionary Computation 9(4): 421-443 (2001)
9 Chih-Jen Lin: Formulations of Support Vector Machines: A Note from an Optimization Point of View. Neural Computation 13(2): 307-317 (2001)
8 Chih-Chung Chang, Chih-Jen Lin: Training nu-Support Vector Classifiers: Theory and Algorithms. Neural Computation 13(9): 2119-2147 (2001)
1998
7EEHuan-Chih Tsai, Kwang-Ting Cheng, Chih-Jen Lin, Sudipta Bhawmik: Efficient test-point selection for scan-based BIST. IEEE Trans. VLSI Syst. 6(4): 667-676 (1998)
1997
6EEHuan-Chih Tsai, Kwang-Ting Cheng, Chih-Jen Lin, Sudipta Bhawmik: A Hybrid Algorithm for Test Point Selection for Scan-Based BIST. DAC 1997: 478-483
1995
5 Kwang-Ting Cheng, Chih-Jen Lin: Timing-Driven Test Point Insertion for Full-Scan and Partial-Scan BIST. ITC 1995: 506-514
4EEChih-Jen Lin, Yervant Zorian, Sudipta Bhawmik: Integration of partial scan and built-in self-test. J. Electronic Testing 7(1-2): 125-137 (1995)
1993
3 Chih-Jen Lin, Yervant Zorian, Sudipta Bhawmik: PSBIST: A Partial-Scan Based Built-In Self-Test Scheme. ITC 1993: 507-516
2 Ching-Wen Hsue, Chih-Jen Lin: Built-In Current Sensor for IDDQ Test in CMOS. ITC 1993: 635-641
1991
1EETapan J. Chakraborty, Sudipta Bhawmik, Robert Bencivenga, Chih-Jen Lin: Enhanced Controllability for IDDQ Test Sets Using Partial Scan. DAC 1991: 278-281

Coauthor Index

1V. David Sánchez A. [16]
2Hongjie Bai [37]
3Robert Bencivenga [1]
4Sudipta Bhawmik [1] [3] [4] [6] [7]
5Colin Campbell [16]
6Tapan J. Chakraborty [1]
7Chih-Chung Chang [8] [12]
8Edward Y. Chang [37]
9Kai-Wei Chang [35] [36]
10Ming-Wei Chang [15] [23]
11Chien-Yu Chen [34]
12Pai-Hsuen Chen [24] [25] [26] [28]
13Wen-Yen Chen (WenYen Chen) [37]
14Kwang-Ting Cheng (Kwang-Ting (Tim) Cheng) [5] [6] [7]
15Cheng-Bang Chu [34]
16Kai-Min Chung [18] [20]
17Rong-En Fan [24] [25] [26] [28]
18Shu-Cherng Fang [11]
19Jorng-Tzong Horng [10]
20Cho-Jui Hsieh [35] [36]
21Chih-Wei Hsu [14]
22Ching-Wen Hsue [2]
23Tzu-Kuo Huang [22] [27] [29]
24Cheng-Yan Kao [10]
25Wei-Chun Kao [18] [20]
26S. Sathiya Keerthi [16] [17] [33] [35] [36]
27Der-Cherng Liang [34]
28Shuo-Peng Liao [13]
29Hsuan-Tien Lin [13] [31]
30Hsi-Che Liu [34]
31Yu-Ting Liu [34]
32Lee-Yung Shih [34]
33Yangqiu Song [37]
34Chia-Liang Sun [18] [20]
35S. Sundararajan [35] [36]
36Huan-Chih Tsai [6] [7]
37Li-Lun Wang [18]
38Ruby C. Weng [15] [19] [21] [22] [27] [29] [31] [33]
39Soon-Yi Wu [11]
40Ting-Fan Wu [19] [21]
41Jinn-Moon Yang [10]
42Yervant Zorian [3] [4]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)