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- Manuscript Number: 2370 A Note on the Decomposition Methods for Support
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- Relaxed Cutting Plane Method for Solving Linear SemiInfinite Programming Problems 1
- Linear Convergence of a Decomposition Method for Support Vector Machines
- Analysis of Switching Dynamics with Competing Support Vector Machines
- Supplementary Materials for "A Comparison of Optimization Methods and Software for Large-scale
- LIBSVM: Introduction and Benchmarks Chih-Chung Chang and Chih-Jen Lin
- Asymptotic Convergence of an SMO Algorithm Without Any Assumptions
- Projected Gradient Methods for Non-negative Matrix Factorization
- Preconditioning Dense Linear Systems from LargeScale Semidefinite Programming Problems
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- On the Convergence of the Decomposition Method for Support Vector Machines
- Structural Optimization and Semidefinite Programming 1 Talk in INFORMS meeting, Seattle, October 2528, 1998
- LIBSVM: A Library for Support Vector Machines ChihChung Chang and ChihJen Lin
- Manuscript Number: 2643 Radius Margin Bounds for Support Vector Machines with
- A Formal Analysis of Stopping Criteria of Decomposition Methods for Support Vector Machines
- Support Vector Machine Solvers Support Vector Machine Solvers
- LIBSVM: A Library for Support Vector Machines Chih-Chung Chang and Chih-Jen Lin
- Analysis of Switching Dynamics with Competing Support Vector Machines
- Journal of Machine Learning Research 7 (2006) 85115 Submitted 5/05; Revised 10/05; Published 1/06 Generalized Bradley-Terry Models and Multi-class
- LIBSVM 2.0: Solving Di erent Support Vector Formulations Chih-Chung Chang and Chih-Jen Lin
- Newton's Method for Large BoundConstrained Optimization Problems 1 ISMP, Lausanne, August 2429, 1997
- Parallel Spectral Clustering in Distributed Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen Lin, Edward Y. Chang
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- Ranking Individuals by Group Comparisons Tzu-Kuo Huang R93002@csie.ntu.edu.tw
- On the Convergence of the Decomposition Method for Support Vector Machines
- The Analysis of Decomposition Methods for Support Vector Machines \Lambda ChihChung Chang, ChihWei Hsu, and ChihJen Lin
- A Comparison of Methods for Multi-class Support Vector Machines
- Automatic Model Selection for Support Vector Machines Jen-Hao Lee and Chih-Jen Lin
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- Manuscript Number: 2752 Decomposition Methods for Linear Support Vector
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- Recent Advances of Large-scale Linear Classification
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- An Improved GLMNET for L1-regularized Logistic Regression and Support Vector Machines
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- An Improved GLMNET for L1-regularized Logistic Guo-Xun Yuan
