• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 22 matches

• 2024
• 
  Huan Liu, Jiankai Tu, Anqi Gao, Chunguang Li:
  Distributed robust support vector ordinal regression under label noise. Neurocomputing 598: 128057 (2024)
• 
  Haorui Xiang, Zhichang Wu, Guoxu Li, Rong Wang, Feiping Nie, Xuelong Li:
  Robust Capped lp-Norm Support Vector Ordinal Regression. CoRR abs/2404.16616 (2024)
• 2023
• 
  Fa Zhu, Xingchi Chen, Shuo Chen, Wei Zheng, Weidu Ye:
  Relative margin induced support vector ordinal regression. Expert Syst. Appl. 231: 120766 (2023)
• 
  Fa Zhu, Xingchi Chen, Xizhan Gao, Weidu Ye, Hai Zhao, Athanasios V. Vasilakos:
  Constraint-weighted support vector ordinal regression to resist constraint noises. Inf. Sci. 649: 119644 (2023)
• 2022
• 
  Huan Liu, Jiankai Tu, Chunguang Li:
  Distributed Support Vector Ordinal Regression over Networks. Entropy 24(11): 1567 (2022)
• 
  Yanshan Xiao, Xi Li, Bo Liu, Liang Zhao, Xiangjun Kong, Adi Alhudhaif, Fayadh Alenezi:
  Multi-view support vector ordinal regression with data uncertainty. Inf. Sci. 589: 516-530 (2022)
• 2021
• 
  Bin Gu, Xiang Geng, Wanli Shi, Yingying Shan, Yufang Huang, Zhijie Wang, Guansheng Zheng:
  Solving large-scale support vector ordinal regression with asynchronous parallel coordinate descent algorithms. Pattern Recognit. 109: 107592 (2021)
• 2018
• 
  Bin Gu:
  A regularization path algorithm for support vector ordinal regression. Neural Networks 98: 114-121 (2018)
• 
  Huan Li, Zhiyou Wu:
  v-Nonparallel Support Vector Ordinal Regression. DSP 2018: 1-5
• 2017
• 
  Xiaoming Wang, Jinrong Hu, Zengxi Huang:
  Minimum class variance support vector ordinal regression. Int. J. Mach. Learn. Cybern. 8(6): 2025-2034 (2017)
• 
  Huadong Wang, Yong Shi, Lingfeng Niu, Yingjie Tian:
  Nonparallel Support Vector Ordinal Regression. IEEE Trans. Cybern. 47(10): 3306-3317 (2017)
• 
  Huadong Wang, Jianyu Miao, Seyed Mojtaba Hosseini Bamakan, Lingfeng Niu, Yong Shi:
  Large-scale Nonparallel Support Vector Ordinal Regression Solver. ICCS 2017: 1261-1270
• 2016
• 
  Na Zhang:
  Extended least squares support vector machines for ordinal regression. Neural Comput. Appl. 27(6): 1497-1509 (2016)
• 2015
• 
  Bin Gu, Victor S. Sheng, KengYeow Tay, Walter Romano, Shuo Li:
  Incremental Support Vector Learning for Ordinal Regression. IEEE Trans. Neural Networks Learn. Syst. 26(7): 1403-1416 (2015)
• 
  Yong Shi, Huadong Wang, Lingfeng Niu:
  Large-Scale Linear Support Vector Ordinal Regression Solver. ICDM Workshops 2015: 1177-1184
• 2014
• 
  Fengzhen Tang, Peter Tiño, Pedro Antonio Gutiérrez, Huanhuan Chen:
  Support Vector Ordinal Regression using Privileged Information. ESANN 2014
• 2009
• 
  Zhixia Yang, Yingjie Tian, Naiyang Deng:
  Leave-one-out bounds for support vector ordinal regression machine. Neural Comput. Appl. 18(7): 731-748 (2009)
• 
  Bin Zhao, Fei Wang, Changshui Zhang:
  Block-Quantized Support Vector Ordinal Regression. IEEE Trans. Neural Networks 20(5): 882-890 (2009)
• 2007
• 
  Wei Chu, S. Sathiya Keerthi:
  Support Vector Ordinal Regression. Neural Comput. 19(3): 792-815 (2007)
• 2006
• 
  Shirish K. Shevade, Wei Chu:
  Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression. ICDM 2006: 1054-1058
• 2005
• 
  Wei Chu, S. Sathiya Keerthi:
  New approaches to support vector ordinal regression. ICML 2005: 145-152
• 
  Guangli Liu, Ruizhi Sun, Wanlin Gao:
  Uncertainty Support Vector Method for Ordinal Regression. ICNC (1) 2005: 650-654