Issue Date | Title | Author(s) | Source | scopus | WOS | Fulltext/Archive link |
1994 | On solving convex quadratic semi-infinite programming problems | Fang, Shu-Cherng; Lin, Chih-Jen ; Wu, Soon-Yi | Optimization | | | |
2006 | On the Convergence of Multiplicative Update
Algorithms for Non-negative Matrix Factorization | Lin, Chih-Jen | | | | |
2007 | On the convergence of multiplicative update algorithms for nonnegative matrix factorization | CHIH-JEN LIN | IEEE Transactions on Neural Networks | | | |
2001 | On the convergence of the decomposition method for support vector machines | CHIH-JEN LIN | IEEE Transactions on Neural Networks | | | |
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 | | |
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 | | |
2001 | Optical coating design using the family competition evolutionaty algorithm | Yang, Jinn-Moon; Horng, Jorng-Tzong; Lin, Chih-Jen ; Kao, Cheng-Yan | Evolutionary Computation | | | |
2001 | Optical Coating Designs Using the Family Competition Evolutionary Algorithm. | CHIH-JEN LIN ; Yang, Jinn-Moon; Horng, Jorng-Tzong; Lin, Chih-Jen; Kao, Cheng-Yan; CHIH-JEN LIN | Evolutionary Computation | | | |
2005 | Optimization, Support Vector Machines,
and Machine Learning | Lin, Chih-Jen | | | | |
2016 | Parallel Dual Coordinate Descent Method for Large-scale Linear Classification in Multi-core Environments. | CHIH-JEN LIN ; Chiang, Wei-Lin; Lee, Mu-Chu; 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 | | | |
2008 | Parallel spectral clustering | CHIH-JEN LIN ; 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) | | | |
2011 | Parallel spectral clustering in distributed systems | CHIH-JEN LIN ; Chen, W.-Y.; Song, Y.; Bai, H.; Lin, C.-J.; Chang, E.Y.; CHIH-JEN LIN | IEEE Transactions on Pattern Analysis and Machine Intelligence | | | |
2008 | Parallel Spectral Clustering. | CHIH-JEN LIN ; 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 | | | |
2020 | Parameter Selection for Linear Support Vector Regression | CHIH-JEN LIN ; Hsia, J.; CHIH-JEN LIN | IEEE Transactions on Neural Networks and Learning Systems | | | |
2021 | Parameter Selection: WhyWe Should Pay More Attention to It | CHIH-JEN LIN ; Liu J.-J; Yang T.-H; Chen S.-A; 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 | | | |
1996 | Parametric linear semi-infinite programming | CHIH-JEN LIN ; Lin, C.-J.; Fang, S.-C.; Wu, S.-Y.; CHIH-JEN LIN | Applied Mathematics Letters | | | |
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 | |
2003 | A practical guide to support vector classification | Hsu, Chih-Wei; Chang, Chih-Chung; Lin, Chih-Jen | | | | |
2003 | A practical guide to support vector classification | Lin, Chih-Jen | | | | |
2018 | Preconditioned Conjugate Gradient Methods in Truncated Newton Frameworks for Large-scale Linear Classification. | CHIH-JEN LIN ; Hsia, Chih-Yang; Chiang, Wei-Lin; CHIH-JEN LIN | Proceedings of The 10th Asian Conference on Machine Learning, ACML 2018, Beijing, China, November 14-16, 2018. | | | |