| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin |
Large Linear Classification When Data Cannot Fit in Memory.  |
TKDD  |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen Lin, Edward Y. Chang |
Parallel Spectral Clustering in Distributed Systems. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Ruby C. Weng, Chih-Jen Lin |
A Bayesian Approximation Method for Online Ranking. |
Journal of Machine Learning Research |
2011 |
DBLP BibTeX RDF |
|
| 1 | Hsiang-Fu Yu, Fang-Lan Huang, Chih-Jen Lin |
Dual coordinate descent methods for logistic regression and maximum entropy models. |
Machine Learning |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Chih-Chung Chang, Chih-Jen Lin |
LIBSVM: A library for support vector machines. |
ACM TIST |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin |
Large Linear Classification When Data Cannot Fit in Memory. |
IJCAI |
2011 |
DBLP BibTeX RDF |
|
| 1 | Guo-Xun Yuan, Chia-Hua Ho, Chih-Jen Lin |
An improved GLMNET for l1-regularized logistic regression. |
KDD |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Fang-Lan Huang, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin |
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models |
Journal of Machine Learning Research |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Guo-Xun Yuan, Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin |
A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification. |
Journal of Machine Learning Research |
2010 |
DBLP BibTeX RDF |
|
| 1 | Yin-Wen Chang, Cho-Jui Hsieh, Kai-Wei Chang, Michael Ringgaard, Chih-Jen Lin |
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM. |
Journal of Machine Learning Research |
2010 |
DBLP BibTeX RDF |
|
| 1 | Ming-Hen Tsai, Chia-Hua Ho, Chih-Jen Lin |
Active learning strategies using SVMs. |
IJCNN |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin |
Large linear classification when data cannot fit in memory. |
KDD |
2010 |
DBLP DOI BibTeX RDF |
block minimization, large scale learning, SVM |
| 1 | Hung-Yi Lo, Kai-Wei Chang, Shang-Tse Chen, Tsung-Hsien Chiang, Chun-Sung Ferng, Cho-Jui Hsieh, Yi-Kuang Ko, Tsung-Ting Kuo, Hung-Che Lai, Ken-Yi Lin, Chia-Hsuan Wang, Hsiang-Fu Yu, Chih-Jen Lin, Hsuan-Tien Lin, Shou-De Lin |
An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes. |
Journal of Machine Learning Research - Proceedings Track |
2009 |
DBLP BibTeX RDF |
|
| 1 | Fang-Lan Huang, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin |
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy. |
ACL/AFNLP (Short Papers) |
2009 |
DBLP BibTeX RDF |
|
| 1 | Chih-Jen Lin, Ruby C. Weng, S. Sathiya Keerthi |
Trust Region Newton Method for Logistic Regression. |
Journal of Machine Learning Research |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, Chih-Jen Lin |
LIBLINEAR: A Library for Large Linear Classification. |
Journal of Machine Learning Research |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Yin-Wen Chang, Chih-Jen Lin |
Feature Ranking Using Linear SVM. |
Journal of Machine Learning Research - Proceedings Track |
2008 |
DBLP BibTeX RDF |
|
| 1 | Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin |
Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines. |
Journal of Machine Learning Research |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Hsi-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 |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Yangqiu Song, WenYen Chen, Hongjie Bai, Chih-Jen Lin, Edward Y. Chang |
Parallel Spectral Clustering. |
ECML/PKDD |
2008 |
DBLP DOI BibTeX RDF |
Parallel spectral clustering, distributed computing |
| 1 | Cho-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 |
DBLP DOI BibTeX RDF |
|
| 1 | S. 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 |
DBLP DOI BibTeX RDF |
support vector machines, text classification, multi-class |
| 1 | Chih-Jen Lin |
On the Convergence of Multiplicative Update Algorithms for Nonnegative Matrix Factorization. |
IEEE Transactions on Neural Networks |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Hsuan-Tien Lin, Chih-Jen Lin, Ruby C. Weng |
A note on Platt's probabilistic outputs for support vector machines. |
Machine Learning |
2007 |
DBLP DOI BibTeX RDF |
Support vector machine, Posterior probability |
| 1 | Chih-Jen Lin |
Projected Gradient Methods for Nonnegative Matrix Factorization. |
Neural Computation |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Ming-Fang Weng, Chun-Kang Chen, Yi-Hsuan Yang, Rong-En Fan, Yu-Ting Hsieh, Yung-Yu Chuang, Winston H. Hsu, Chih-Jen Lin |
The NTU Toolkit and Framework for High-Level Feature Detection at TRECVID 2007. |
TRECVID |
2007 |
DBLP BibTeX RDF |
|
| 1 | Chih-Jen Lin, Ruby C. Weng, S. Sathiya Keerthi |
Trust region Newton methods for large-scale logistic regression. |
ICML |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Pai-Hsuen Chen, Rong-En Fan, Chih-Jen Lin |
A study on SMO-type decomposition methods for support vector machines. |
IEEE Transactions on Neural Networks |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Tzu-Kuo Huang, Ruby C. Weng, Chih-Jen Lin |
Generalized Bradley-Terry Models and Multi-Class Probability Estimates. |
Journal of Machine Learning Research |
2006 |
DBLP BibTeX RDF |
|
| 1 | Tzu-Kuo Huang, Chih-Jen Lin, Ruby C. Weng |
Ranking individuals by group comparisons. |
ICML |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Rong-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 |
2005 |
DBLP BibTeX RDF |
|
| 1 | Ming-Wei Chang, Chih-Jen Lin |
Leave-One-Out Bounds for Support Vector Regression Model Selection. |
Neural Computation |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Pai-Hsuen Chen, Rong-En Fan, Chih-Jen Lin |
Training Support Vector Machines via SMO-Type Decomposition Methods. |
ALT |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Pai-Hsuen Chen, Rong-En Fan, Chih-Jen Lin |
Training Support Vector Machines via SMO-Type Decomposition Methods. |
Discovery Science |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Ming-Wei Chang, Chih-Jen Lin, Ruby Chiu-Hsing Weng |
Analysis of switching dynamics with competing support vector machines. |
IEEE Transactions on Neural Networks |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Ting-Fan Wu, Chih-Jen Lin, Ruby C. Weng |
Probability Estimates for Multi-class Classification by Pairwise Coupling. |
Journal of Machine Learning Research |
2004 |
DBLP BibTeX RDF |
|
| 1 | Wei-Chun Kao, Kai-Min Chung, Chia-Liang Sun, Chih-Jen Lin |
Decomposition Methods for Linear Support Vector Machines. |
Neural Computation |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Tzu-Kuo Huang, Chih-Jen Lin, Ruby C. Weng |
A Generalized Bradley-Terry Model: From Group Competition to Individual Skill. |
NIPS |
2004 |
DBLP BibTeX RDF |
|
| 1 | Kuan-Ming Lin, Chih-Jen Lin |
A study on reduced support vector machines. |
IEEE Transactions on Neural Networks |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | S. Sathiya Keerthi, Chih-Jen Lin |
Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel. |
Neural Computation |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai-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 |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Colin Campbell, Chih-Jen Lin, S. Sathiya Keerthi, V. David Sánchez A. |
Special issue on support vector machines. |
Neurocomputing |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Ting-Fan Wu, Chih-Jen Lin, Ruby C. Weng |
Probability Estimates for Multi-Class Classification by Pairwise Coupling. |
NIPS |
2003 |
DBLP BibTeX RDF |
|
| 1 | Chih-Jen Lin |
A formal analysis of stopping criteria of decomposition methods for support vector machines. |
IEEE Transactions on Neural Networks |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Chih-Jen Lin |
Errata to "A comparison of methods for multiclass support vector machines". |
IEEE Transactions on Neural Networks |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Chih-Jen Lin |
Errata to "On the convergence of the decomposition method for support vector machines". |
IEEE Transactions on Neural Networks |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Chih-Jen Lin |
Asymptotic convergence of an SMO algorithm without any assumptions. |
IEEE Transactions on Neural Networks |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Chih-Wei Hsu, Chih-Jen Lin |
A comparison of methods for multiclass support vector machines. |
IEEE Transactions on Neural Networks |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Chih-Wei Hsu, Chih-Jen Lin |
A Simple Decomposition Method for Support Vector Machines. |
Machine Learning |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Chih-Chung Chang, Chih-Jen Lin |
Training v -Support Vector Regression: Theory and Algorithms. |
Neural Computation |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Shuo-Peng Liao, Hsuan-Tien Lin, Chih-Jen Lin |
A Note on the Decomposition Methods for Support Vector Regression. |
Neural Computation |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Ming-Wei Chang, Chih-Jen Lin, Ruby C. Weng |
Analysis of Nonstationary Time Series Using Support Vector Machines. |
SVM |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Chih-Jen Lin |
On the convergence of the decomposition method for support vector machines. |
IEEE Transactions on Neural Networks |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Jinn-Moon Yang, Jorng-Tzong Horng, Chih-Jen Lin, Cheng-Yan Kao |
Optical Coating Designs Using the Family Competition Evolutionary Algorithm. |
Evolutionary Computation |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Soon-Yi Wu, Shu-Cherng Fang, Chih-Jen Lin |
Solving General Capacity Problem by Relaxed Cutting Plane Approach. |
Annals OR |
2001 |
DBLP DOI BibTeX RDF |
capacity problem, infinite linear programming, duality theory, cutting plane method |
| 1 | Chih-Jen Lin |
Formulations of Support Vector Machines: A Note from an Optimization Point of View. |
Neural Computation |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Chih-Chung Chang, Chih-Jen Lin |
Training nu-Support Vector Classifiers: Theory and Algorithms. |
Neural Computation |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Chih-Chung Chang, Chih-Wei Hsu, Chih-Jen Lin |
The analysis of decomposition methods for support vector machines. |
IEEE Trans. Neural Netw. Learning Syst. |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | Huan-Chih Tsai, Kwang-Ting Cheng, Chih-Jen Lin, Sudipta Bhawmik |
Efficient test-point selection for scan-based BIST. |
IEEE Trans. VLSI Syst. |
1998 |
DBLP DOI BibTeX RDF |
|
| 1 | Huan-Chih Tsai, Kwang-Ting Cheng, Chih-Jen Lin, Sudipta Bhawmik |
A Hybrid Algorithm for Test Point Selection for Scan-Based BIST. |
DAC |
1997 |
DBLP DOI BibTeX RDF |
|
| 1 | Chih-Jen Lin, Yervant Zorian, Sudipta Bhawmik |
Integration of partial scan and built-in self-test. |
J. Electronic Testing |
1995 |
DBLP DOI BibTeX RDF |
test points, built-in self-test, design for testability, partial scan |
| 1 | Kwang-Ting Cheng, Chih-Jen Lin |
Timing-Driven Test Point Insertion for Full-Scan and Partial-Scan BIST. |
ITC |
1995 |
DBLP DOI BibTeX RDF |
|
| 1 | Chih-Jen Lin, Yervant Zorian, Sudipta Bhawmik |
PSBIST: A Partial-Scan Based Built-In Self-Test Scheme. |
ITC |
1993 |
DBLP DOI BibTeX RDF |
|
| 1 | Ching-Wen Hsue, Chih-Jen Lin |
Built-In Current Sensor for IDDQ Test in CMOS. |
ITC |
1993 |
DBLP DOI BibTeX RDF |
|
| 1 | Tapan J. Chakraborty, Sudipta Bhawmik, Robert Bencivenga, Chih-Jen Lin |
Enhanced Controllability for IDDQ Test Sets Using Partial Scan. |
DAC |
1991 |
DBLP DOI BibTeX RDF |
|
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