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2010 – 2019
- 2018
[j15]Xianli Pan, Zhiji Yang, Yitian Xu
, Laisheng Wang:
Safe Screening Rules for Accelerating Twin Support Vector Machine Classification. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1876-1887 (2018)- 2016
- [j14]Yitian Xu, Zhiji Yang, Yuqun Zhang, Xianli Pan, Laisheng Wang:
A maximum margin and minimum volume hyper-spheres machine with pinball loss for imbalanced data classification. Knowl. Based Syst. 95: 75-85 (2016) - 2014
- [j13]Yitian Xu, Laisheng Wang:
K-nearest neighbor-based weighted twin support vector regression. Appl. Intell. 41(1): 299-309 (2014) - [j12]Liming Yang, Laisheng Wang, Yongping Gao, Qun Sun, Tengyang Zhao:
A convex relaxation framework for a class of semi-supervised learning methods and its application in pattern recognition. Eng. Appl. Artif. Intell. 35: 335-344 (2014) - [j11]Yitian Xu, Xin Lv, Zheng Wang, Laisheng Wang:
A Weighted Least Squares Twin Support Vector Machine. J. Inf. Sci. Eng. 30(6): 1773-1787 (2014) - [j10]Yuhua Sun, Xiumei Xu, Laisheng Wang:
Duality and saddle-point type optimality for interval-valued programming. Optim. Lett. 8(3): 1077-1091 (2014) - 2013
- [j9]Liming Yang, Laisheng Wang:
A class of semi-supervised support vector machines by DC programming. Adv. Data Anal. Classif. 7(4): 417-433 (2013) - [j8]Yitian Xu, Rui Guo, Laisheng Wang:
A Twin Multi-Class Classification Support Vector Machine. Cogn. Comput. 5(4): 580-588 (2013) - [j7]Liming Yang, Laisheng Wang:
A class of smooth semi-supervised SVM by difference of convex functions programming and algorithm. Knowl. Based Syst. 41: 1-7 (2013) - 2012
- [j6]Yitian Xu, Laisheng Wang:
A weighted twin support vector regression. Knowl. Based Syst. 33: 92-101 (2012) - [j5]Yitian Xu, Laisheng Wang, Ping Zhong:
A rough margin-based ν-twin support vector machine. Neural Comput. Appl. 21(6): 1307-1317 (2012) - 2011
- [j4]Zhiquan Qi, Yitian Xu, Laisheng Wang, Ye Song:
Online multiple instance boosting for object detection. Neurocomputing 74(10): 1769-1775 (2011) - [j3]Yitian Xu, Laisheng Wang, Ruiyan Zhang:
A dynamic attribute reduction algorithm based on 0-1 integer programming. Knowl. Based Syst. 24(8): 1341-1347 (2011) - 2010
- [j2]Liming Yang, Laisheng Wang, Yuhua Sun, Ruiyan Zhang:
Simultaneous feature selection and classification via Minimax Probability Machine. Int. J. Comput. Intell. Syst. 3(6): 754-760 (2010) - [j1]Yitian Xu, Haozhi Zhang, Laisheng Wang:
Rough Margin-Based Linear v Support Vector Machine. J. Convergence Inf. Technol. 5(8): 226-232 (2010)
2000 – 2009
- 2009
- [c9]Liming Yang, Laisheng Wang, Yitian Xu, Qun Sun:
Time Series Prediction Based on Generalization Bounds for Support Vector Machine. ISNN (2) 2009: 322-326 - [c8]Yitian Xu, Ling Zhen, Liming Yang, Laisheng Wang:
Classification Algorithm Based on Feature Selection and Samples Selection. ISNN (2) 2009: 631-638 - 2008
- [c7]Zhiquan Qi, Laisheng Wang, Yitian Xu, Ping Zhong:
Robust Object Detection Based on Decision Trees and a New Cascade Architecture. CIMCA/IAWTIC/ISE 2008: 1129-1134 - 2007
- [c6]Liming Yang, Laisheng Wang:
Simultaneous Feature Selection and Classification via Semi-Supervised Models. ICNC (1) 2007: 646-650 - [c5]Zhijie Xu, Laisheng Wang, Liming Yang:
A Simulated Annealing and 2DPCA Based Method for Face Recognition. SITIS 2007: 777-782 - 2006
- [c4]Yitian Xu, Laisheng Wang, Yanping Sheng:
Rough Set Theory-based Multi-class Decision Attribute Reduction Algorithm and Its Application. IEEE ICCI 2006: 722-725 - [c3]Yitian Xu, Laisheng Wang:
Fuzzy Comprehensive Evaluation Model based on Rough Set Theory. IEEE ICCI 2006: 877-880 - 2005
- [c2]Yitian Xu, Laisheng Wang:
Fault Diagnosis System Based on Rough Set Theory and Support Vector Machine. FSKD (2) 2005: 980-988 - [c1]Zhijie Xu, Laisheng Wang, Jiancheng Luo, Jianqin Zhang:
A modified clustering algorithm for data mining. IGARSS 2005: 4
Coauthor Index
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