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  1. NTU Scholars
  2. Research Outputs

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0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
Showing results 1 to 20 of 221  next >
Issue DateTitleAuthor(s)SourcescopusWOSFulltext/Archive link
2011A Bayesian approximation method for online rankingWeng, R.C.; Lin, C.-J.; CHIH-JEN LIN Journal of Machine Learning Research 27
2010A comparison of optimization methods and software for large-scale L1-regularized linear classificationYuan, G.-X.; Chang, K.W.; Hsieh, C.-J.; Lin, C.-J.; CHIH-JEN LIN Journal of Machine Learning Research 
2008A dual coordinate descent method for large-scale linear SVMHsieh, C.-J.; Chang, K.-W.; Lin, C.-J.; Keerthi, S.S.; Sundararajan, S.; CHIH-JEN LIN 25th International Conference on Machine Learning 
2013A fast parallel SGD for matrix factorization in shared memory systemsZhuang, Y.; Chin, W.-S.; Juan, Y.-C.; Lin, C.-J.; CHIH-JEN LIN 7th ACM Conference on Recommender Systems 970
2015A fast parallel stochastic gradient method for matrix factorization in shared memory systemsChin, W.-S.; Zhuang, Y.; Juan, Y.-C.; Lin, C.-J.; CHIH-JEN LIN ACM Transactions on Intelligent Systems and Technology 5256
2002A formal analysis of stopping criteria of decomposition methods for support vector machinesLin, Chih-Jen; CHIH-JEN LIN IEEE Transactions on Neural Networks 6860
2005A generalized bradley-terry model: From group competition to individual skillHuang, T.-K.; Lin, C.-J.; Weng, R.C.; CHIH-JEN LIN Advances in Neural Information Processing Systems 
2015A learning-rate schedule for stochastic gradient methods to matrix factorizationChin, W.-S.; Zhuang, Y.; Juan, Y.-C.; Lin, C.-J.; CHIH-JEN LIN Lecture Notes in Computer Science260
2002A note on the decomposition methods for support vector regressionLiao, Shuo-Peng; Lin, Hsuan-Tien; Lin, Chih-JenLiao, S.-P.; Lin, H.-T.; Lin, C.-J.; HSUAN-TIEN LIN ; CHIH-JEN LIN Neural Computation 2018
2008A sequential dual method for large scale multi-class linear svmsKeerthi, S.S.; Sundararajan, S.; Chang, K.-W.; Hsieh, C.-J.; Lin, C.-J.; CHIH-JEN LIN ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 950
2003A study of reduced support vector machinesLin, Kuan-Min; Lin, Chih-Jen; CHIH-JEN LIN IEEE Transactions on Neural Networks 199161
2013A study on L2-loss (Squared Hinge-Loss) multiclass SVMLee, C.-P.; Lin, C.-J.; CHIH-JEN LIN Neural Computation 3133
2006A study on SMO-type decomposition methods for support vector machinesChen, Pai-Hsuen; Fan, Rong-En; Lin, Chih-Jen; CHIH-JEN LIN IEEE Transactions on Neural Networks 187184
2010Active learning strategies using SVMsTsai, M.-H.; Ho, C.-H.; Lin, C.-J.; CHIH-JEN LIN International Joint Conference on Neural Networks 70
2010Active learning strategies using SVMs.Tsai, Ming-Hen; Ho, Chia-Hua; Lin, Chih-Jen; CHIH-JEN LIN International Joint Conference on Neural Networks, IJCNN 2010, Barcelona, Spain, 18-23 July, 201070
2002Adaptive deterministic annealing for two applications: competing SVR of switching dynamics and travelling salesman problemsChang, Ming-Wei; Lin, Chih-Jen ; Weng, Ruby C.9th International Conference on Neural Information Processing
2002Adaptive deterministic annealing for two applications: Competing SVR of switching dynamics and travelling salesman problemsChang, M.-W.; Lin, C.-J.; Weng, R.C.; CHIH-JEN LIN ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age10
2012An improved GLMNET for l1-regularized logistic regressionYuan, G.-X.; Ho, C.-H.; Lin, C.J.; CHIH-JEN LIN Journal of Machine Learning Research 
2011An improved glmnet for L1-regularized logistic regressionYuan, G.-X.; Ho, C.-H.; Lin, C.-J.; CHIH-JEN LIN ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 180
1998An unconstrained convex programming approach to linear semi-infinite programmingLin, C.-J.; Fang, S.-C.; Wu, S.-Y.; CHIH-JEN LIN SIAM Journal on Optimization 
Showing results 1 to 20 of 221  next >

臺大位居世界頂尖大學之列,為永久珍藏及向國際展現本校豐碩的研究成果及學術能量,圖書館整合機構典藏(NTUR)與學術庫(AH)不同功能平台,成為臺大學術典藏NTU scholars。期能整合研究能量、促進交流合作、保存學術產出、推廣研究成果。

To permanently archive and promote researcher profiles and scholarly works, Library integrates the services of “NTU Repository” with “Academic Hub” to form NTU Scholars.

總館學科館員 (Main Library)
醫學圖書館學科館員 (Medical Library)
社會科學院辜振甫紀念圖書館學科館員 (Social Sciences Library)

開放取用是從使用者角度提升資訊取用性的社會運動,應用在學術研究上是透過將研究著作公開供使用者自由取閱,以促進學術傳播及因應期刊訂購費用逐年攀升。同時可加速研究發展、提升研究影響力,NTU Scholars即為本校的開放取用典藏(OA Archive)平台。(點選深入了解OA)

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    Please represent that the submission is your original work, and that you have the right to grant the rights to upload.
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    Please use Sherpa Romeo to find a summary of permissions that are normally given as part of each publisher's copyright transfer agreement.
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  • 方案一:臺灣大學計算機中心帳號登入
    (With C&INC Email Account)
  • 方案二:ORCID帳號登入 (With ORCID)
  • 方案一:定期更新ORCID者,以ID匯入 (Search for identifier (ORCID))
  • 方案二:自行建檔 (Default mode Submission)
  • 方案三:學科館員協助匯入 (Email worklist to subject librarians)
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