公開日期 | 標題 | 作者 | 來源出版物 | scopus | WOS | 全文 |
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 | |
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 | |
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 | |
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 | |
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 | |
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 | | |
1996 | Parametric linear semi-infinite programming | Lin, C.-J.; Fang, S.-C.; Wu, S.-Y.; CHIH-JEN LIN | Applied Mathematics Letters | 2 | 1 | |
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. | 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. | | | |
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 | |
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 | |
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 | | | |
2004 | Probability Estimates for Multi-class Classification by Pairwise Coupling | Wu, Ting-Fan; Lin, Chih-Jen ; Ruby, C. Weng | | | | |
2006 | Projected Gradient Methods for Non-negative
Matrix Factorization | Lin, Chih-Jen | | | | |
2007 | Projected gradient methods for nonnegative matrix factorization | Lin, Chih-Jen | Neural Computation | 1328 | 1064 | |
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 | |
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 | |
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 | | | |