• [74]
    Sheng Xing, Hong Zhu, Yu-Lin He, Xi-Zhao Wang. An Approach to Sample Selection from Big Data for Classification. Accepted by SMC2016.
  • [73]
    Jian Zhang, Junhai Zhai, Hong Zhu, Xizhao Wang. Induction of monotonic decision trees. Proceedings of 2015 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR), 2015, pp. 203-207, DOI: 10.1109/ICWAPR.2015.7295951.
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    Peizhou Zhang, Shixin Zhao, Xizhao Wang. The failure analysis of extreme learning machine on big data and the counter measure. Proceedings of 2015 International Conference on Machine Learning and Cybernetics (ICMLC), 2015, pp. 849-853, DOI: 10.1109/ICMLC.2015.7340664.
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    Xin Wang, Junhai Zhai, Jiankai Chen, Xizhao Wang. Ordinal decision trees based on fuzzy rank entropy.Proceedings of 2015 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR), 2015, pp. 208-213, DOI: 10.1109/ICWAPR.2015.7295952.
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    Junhai Zhai, Jinggeng Wang, Xizhao Wang. Ensemble online sequential extreme learning machine for large data set classification. Proceedings of 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2014, pp. 2250-2255, DOI: 10.1109/SMC.2014.6974260.
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    Yan Li, Hongjie Xing, Qiang Hua, Xzhao Wang, Prerna Batta, Soroush Haeri, Ljiljana Trajković. Classification of BGP anomalies using decision trees and fuzzy rough sets. Proceedings of 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2014, pp. 1312-1317, DOI: 10.1109/SMC.2014.6974096.
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    James N. K. Liu, Yanxing Hu, Yulin He, Xizhao Wang. Regression ensemble with PSO algorithms based fuzzy integral. Proceedings of 2014 IEEE Congress on Evolutionary Computation (CEC), 2014, pp. 762-768, DOI: 10.1109/CEC.2014.6900342.
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    Xi-zhao Wang, Meng Zhang, Shu-Xia Lu, Xu Zhou, A total error rate multi-class classification, In Proceedings of 2012 International Conference on Systems, Man, and Cybernetics, 2012, pp: 964-969.(EI)
  • [66]
    Xi-zhao Wang, Qing Miao, Meng-Yao Zhai, Jun-Hai Zhai, Instance selection based on sample entropy for efficient data classification with ELM, In Proceedings of 2012 International Conference on Systems, Man, and Cybernetics, 2012, pp: 970-974.(EI)
  • [65]
    Hong-Jie Xing, Xi-zhao Wang, Ming-Hu Ha, A comparative experimental study of feature-weight learning approaches, In Proceedings of 2011 International Conference on Systems, Man, and Cybernetics, 2011, pp: 3500-3505.(EI)
  • [64]
    Jun-Hai Zhai, Yuan-Yuan Gao, Meng-Yao Zhai, Xi-Zhao Wang, Rough set model and its eight extensions, In Proceedings of 2011 International Conference on Systems, Man, and Cybernetics, 2011, pp: 3512-3517.(EI)
  • [63]
    James N. K. Liu, Yu-Lin He, Xi-Zhao Wang, Yan-Xing Hu, A comparative study among different kernel functions in flexible naïve Bayesian classification, In Proceedings of 2011 International Conference on Machine Learning and Cybernetics, 2011: 638-643.(EI)
  • [62]
    Xi-Zhao Wang, Xiang-Hui Gao, Qiang He, Side effect of cut in decision tree generation for continuous attributes, In Proceedings of 2010 International Conference on Systems, Man, and Cybernetics, 2010, pp: 1364-1369.(EI)
  • [61]
    Shan Su, Xi-Zhao Wang, Jun-Hai Zhai, An Improved Cluster Oriented Fuzzy Decision Trees, In Proceedings of 2009 International Conference on Rough Sets, Fuzzy Sets , Data Mining & Granular Computing, 2009, pp: 447-454.(EI)
  • [60]
    Ling-Cai Dong, Dan Wang, Xi-Zhao Wang, An Improved Sample Selection Algorithm in Fuzzy Decision Tree Induction, In Proceedings of 2009 International Conference on Systems, Man, and Cybernetics, 2009, pp: 629-634.(EI)
  • [59]
    Ming-Zhu Lu, Philip Chen, Jian-Bing Huo, Xi-Zhao Wang, Multi-Stage Decision Tree based on Inter-class and Inner-class Margin of SVM, In Proceedings of 2009 International Conference on Systems, Man, and Cybernetics, 2009, pp: 1875-1880.(EI)
  • [58]
    Ning Zhang, Xi-Zhao Wang, Tao Xiao, An Instance Selection Algorithm Based on Contribution, Proceedings of the Seventh International Conference on Machine Learning and Cybernetics,2008, pp: 919-923.(EI)
  • [57]
    Feng Guo, Xi-Zhao Wang, Yan Li, A New Algorithm for Solving Convex Hull Problem and Its Application to Feature Selection, Proceedings of the Seventh International Conference on Machine Learning and Cybernetics, Kunming, 2008, pp: 369-373.(EI)
  • [56]
    Xi-Zhao Wang, Bo Wu, Yu-Lin He, Xiang-Hao Pei, NRMCS: Noise Removing Based on the MCS, Proceedings of the Seventh International Conference on Machine Learning and Cybernetics, 2008, pp: 89-93.(EI)
  • [55]
    Xi-Zhao Wang, Jun-Hai Zhai, Su-Fang Zhang, Fuzzy Decision Tree Based on the Important Degree of Fuzzy Attribute, Proceedings of the Seventh International Conference on Machine Learning and Cybernetics, 2008, pp: 511-516.(EI)
  • [54]
    Ming-Zhu Lu, C. L. Philip Chen, Jian-Bing Huo, Xi-Zhao Wang, Optimization of combined kernel function for SVM based on large margin learning theory, In Proceedings of 2008 International Conference on Systems, Man, and Cybernetics, 2008, pp: 353-358.(EI)
  • [53]
    Hong-Jie Xing, Xi-Zhao Wang, Rui-Xian Zhu, Dan Wang, Application of kernel learning vector quantization to novelty detection, In Proceedings of 2008 International Conference on Systems, Man, and Cybernetics, 2008, pp: 439-443.(EI)
  • [52]
    De-gang Chen, Xi-Zhao Wang, Su-Yun Zhao, Attribute reduction based on fuzzy rough sets, Proceedings of the International Conference on Rough Sets and Intelligent Systems Paradigms, 2007, 381-390.
  • [51]
    Wei-Li Zhang, Xi-Zhao Wang, Feature extraction and classification for human brain CT images, Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, 2007, pp: 1155-1159.
  • [50]
    Xi-Zhao Wang and Wei-Xi Lin, Application of inductive learning in human brain CT image recognition, Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, 2007, pp: 1667-1671.(EI)
  • [49]
    Xi-Zhao Wang, Xiao-Yan Liu, Yan Li and Chun-Guo Li, Norm-based localized generalization error model and its derivation for radial basis function neural networks, Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, 2007, pp: 3623-3527.(EI)
  • [48]
    Xi-Zhao Wang, Bin Wu, Jie Li, An improvement for localized generalization error model, Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, 2007, pp: 2901-2910.(EI)
  • [47]
    Xi-Zhao Wang, Jian-Hui Yan, Ran Wang and Chun-Ru Dong, A sample selection algorithm in fuzzy decision tree induction and its theoretical analyses, Proceedings of 2007 IEEE International Conference on Systems, Man and Cybernetics, Montreal, Canada, 7-10 October 2007, 3621-3626.(EI)
  • [46]
    Xi-Zhao Wang, Shu-Xia Lu and Rui-Xian Zhu, Solving SVM inverse problems based on clustering, Proceedings of 2007 IEEE International Conference on Systems, Man and Cybernetics, Montreal, Canada, 7-10 October 2007, 3615-3620.(EI)
  • [45]
    Li-Mei Feng, Xi-Zhao Wang, Improving on symbolic learning system based on genetic algorithm, Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering, Chengdu, 15-16 October 2007, 1132-1138.(EI)
  • [44]
    Jin-Yan Sun, Xi-Zhao Wang, A new method for constructing radial basis function neural networks, Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering, Chengdu, 15-16 October 2007, 1240-1245.(EI)
  • [43]
    Chen-Xiao Yang, Xi-Zhao Wang and Rui-Xian Zhu, A strategy of merging branches based on margin enlargement of SVM in decision tree induction, Proceedings of 2006 IEEE International Conference on Systems, Man and Cybernetics, Taipei, 8-11 October 2006, 824-828.(EI)
  • [42]
    Jian-Bing Huo, Xi-Zhao Wang, Ming-Zhu Lu and Jun-Fen Chen, Induction of multi-stage decision tree, Proceedings of 2006 IEEE International Conference on Systems, Man and Cybernetics, Taipei, 8-11 October 2006, 835-839.(EI)
  • [41]
    Xi-Zhao Wang and Xiang-Hui Gao, A research on the relation between training ambiguity and generalization capability, Proceedings of the Fifth International Conference on Machine Learning and Cybernetics, Dalian, 13-16 August 2006, vol.3, 2008-2013.(EI)
  • [40]
    Miao Wang, Xi-Zhao Wang, A research on weight acquisition of weighted fuzzy production rules based on genetic algorithm, Proceedings of the Fifth International Conference on Machine Learning and Cybernetics, Dalian, 13-16 August 2006, 2208-2211.(EI)
  • [39]
    Xi-Zhao Wang, Shu-Xia Lu, Improved fuzzy multicategory support vector machines classifier, Proceedings of the Fifth International Conference on Machine Learning and Cybernetics, Dalian, 13-16 August 2006, 3585-3589.(EI)
  • [38]
    Xi-Zhao Wang, Ming-Zhu Lu and Jian-bing Huo, Fault diagnosis of power transformer based on large margin learning classifier, Proceedings of the Fifth International Conference on Machine Learning and Cybernetics, Dalian, 13-16 August 2006, 2886-2891.(EI)
  • [37]
    Xi-Zhao Wang, Feng Yang, Yan Li, A discussion on the overlapping in fuzzy production rule reasoning, Proceedings of the Fifth International Conference on Machine Learning and Cybernetics, Dalian, 13-16 August 2006, 4557-4562.(EI)
  • [36]
    Xi-Zhao Wang, Xu-Guang Wang and Jun Shen, The representation of interaction among fuzzy rules, Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, Guangzhou, 18-21 August 2005, Vol.5, 3098-3103.(EI)
  • [35]
    Xi-Zhao Wang, Jun Shen and Xu-Guang Wang, Using 2-additive fuzzy measure to represent the interaction among if-then rules, Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, Guangzhou, 18-21 August 2005, Vol.5, 2797-2801.(EI)
  • [34]
    Xi-Zhao Wang, Yan Ha and De-Gang Chen, On the reduction of fuzzy rough sets, Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, Guangzhou, 18-21 August 2005, Vol.5, 3174-3178.(EI)
  • [33]
    Xi-Zhao Wang, Su-Fang Zhang and Jun-Hai Zhai, A nonlinear integral defined on partition of set and its fundamental properties, Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, Guangzhou, 18-21 August 2005, Vol.5, 3092-3097.(EI)
  • [32]
    Xi-Zhao Wang and Hui Zhang, An upper bound of input perturbation for RBFNNs sensitivity analysis, Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, Guangzhou, 18-21 August 2005, Vol.8, 4704-4708.(EI)
  • [31]
    Xi-Zhao Wang and Ying Xu, Multilevel weighted fuzzy reasoning with interaction, Proceedings of 2005 IEEE International Conference on Systems,Man and Cybernetics, Waikoloa, Hawaii, 10-12 October 2005, 708-715.(EI)
  • [30]
    Xi-Zhao Wang, Chun-Guo Li, A new definition of sensitivity for RBFNN and its applications to feature reduction, Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, Guangzhou, 18-21 August 2005, vol.1, 81-86.(EI)
  • [29]
    Juan Sun, Xi-Zhao Wang, An initial comparison on noise resisting between crisp and fuzzy decision trees, Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, Guangzhou, 18-21 August 2005, Vol.4, 2545-2550.(EI)
  • [28]
    John W.T. Lee, Xi-Zhao Wang, Jin-Feng Wang, Finding reducts for ordinal decision tables, Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, Guangzhou, 18-21 August 2005, Vol.5, 3143-3147.(EI)
  • [27]
    Xi-Zhao Wang, Chun-Ru Dong, Daniel Yeung, A study on generalization capability of weighted fuzzy production rules with maximum entropy, Proceedings of 2004 IEEE International conference on systems, Man and cybernetics, Hague, 10-13 October, 2004,3181-3186.(EI)
  • [26]
    Xi-Zhao Wang, Xiao-Jun Wang, A new methodology for determining fuzzy densities in the fusion model based on fuzzy integral, Proceedings of the Third International Conference on Machine Learning and Cybernetics, Shanghai, 26-29, August, 2004, vol.4, 2028-2031.(EI)
  • [25]
    Xi-Zhao Wang, Xiao-Ying Lu, Feng Zhang, Feature selection based on fuzzy extension matrix for multi-class problem. Proceedings of the Third International Conference on Machine Learning and Cybernetics, Shanghai, 26-29, August, 2004, vol.4, 2032-2035.(EI)
  • [24]
    Xi-Zhao Wang, Jun-Fen Chen, Multiple neural networks fusion model based on choquet fuzzy integral, Proceedings of the Third International Conference on Machine Learning and Cybernetics, Shanghai, 26-29, August, 2004, vol.4, 2024-2027.(EI)
  • [23]
    Xi-Zhao Wang, Hui-Min Feng, Nonnegative set functions in multiple classifier fusion, Proceedings of the Third International Conference on Machine Learning and Cybernetics, Shanghai, 26-29, August, 2004, vol.4, 2020-2023.(EI)
  • [22]
    Wing Ng, Daniel Yeung, Xi-Zhao Wang, Ian Cloete, A study of the difference between partial derivative and stochastic neural network sensitivity analysis, Proceedings of the Third International Conference on Machine Learning and Cybernetics, Shanghai, 26-29, August, 2004, vol.7, 4283-4288.(EI)
  • [21]
    Yong Li, Xi-Zhao Wang, Qiang Hua, Using bp-network to construct fuzzy decision tree, Proceedings of the Second International Conference on Machine Learning and Cybernetics, Xi’an, 2-5, November 2003, vol.3, 1791-1795.(EI)
  • [20]
    Yan Li, Xi-Zhao Wang, Ming-Hu Ha, On-line multi-cbr agent dispatching, Proceedings of the Second International Conference on Machine Learning and Cybernetics, Xi’an, 2-5, November 2003, vol.4, 2071-2075.(EI)
  • [19]
    Su-Yun Zhao, Xi-Zhao Wang, A fuzzy model of rough sets, Proceedings of the Second International Conference on Machine Learning and Cybernetics, Xi’an, 2-5, November 2003, vol.3, 1687-1691.(EI)
  • [18]
    Da-Zhong Liu, Xi-Zhao Wang, J. W. T. Lee, Ordinal fuzzy sets and rough sets, Proceedings of the Second International Conference on Machine Learning and Cybernetics, Xi’an, 2-5, November 2003, vol.3, 1438-1441.(EI)
  • [17]
    Qiang He, Xi-Zhao Wang, Hong-Jie Xing, A fuzzy classification method based on support vector machine, Proceedings of the Second International Conference on Machine Learning and Cybernetics, Xi’an, 2-5, November 2003, vol.2, 1237-1240.(EI)
  • [16]
    Qun-Feng Zhang, Xi-Zhao Wang, Jing-Hong Wang, A further study on simplification of decision tables, Proceedings of the Second International Conference on Machine Learning and Cybernetics, Xi’an, 2-5, November 2003, vol.3, 1657-1661.(EI)
  • [15]
    Hua Li, Xi-Zhao Wang, Yong Li, Using mutual information for selecting continuous-valued, Proceedings of the Second International Conference on Machine Learning and Cybernetics, Xi’an, 2-5, November 2003, vol. 3, 1496-1499.(EI)
  • [14]
    Shi-Xin Zhao, Xi-Zhao Wang, Core and reduction from mutual relation view and their fuzzy generalization, 2003 IEEE International Conference on Systems, Man & Cybernetics, Washington DC, October 6-9 2003, sessions TD2: 2611-2616.(EI)
  • [13]
    Yan Li , Ming-Hu Ha, Xi-Zhao Wang, Principle and Design of Fuzzy Controller Based on Fuzzy Learning from Examples, Proceedings of 2002 International Conference on Machine Learning and Cybernetics, Beijing, 4-5 November 2002, vol. 3, 1441-1446.(EI)
  • [12]
    Dong-Mei Huang, Xi-Zhao Wang, Ming-Hu Ha, The Optimization Problem of the Fuzzy Bi-Branches Decision Trees, Proceedings of 2002 International Conference on Machine Learning and Cybernetics, Beijing, 4-5 November 2002, vol. 3, 1667-1668.(EI)
  • [11]
    Da-Zhong Liu, Xi-Zhao Wang, John W.T. Lee,Correlation Based Generating Rules for Fuzzy Classification,Proceedings of 2002 International Conference on Machine Learning and Cybernetics, Beijing, 4-5 November 2002, Volume 4, pp. 1733-1736.(EI)
  • [10]
    Hong-Jie Xing, Xi-Zhao Wang, Qiang He, Hong-Wei Yang, The Multistage Support Vector Machine, Proceedings of 2002 International Conference on Machine Learning and Cybernetics, Beijing, 4-5 November 2002, Volume 4, pp. 1815-1818.(EI)
  • [9]
    Xi-Zhao Wang, Ming-Hua Zhao, Daniel So Yeung, Parametric Sensitivity in Building Fuzzy Decision Trees: an Experimental Analysis, Proceedings of 2002 International Conference on Machine Learning and Cybernetics, Beijing, 4-5 November 2002, Volume 4, pp. 1819-1823.(EI)
  • [8]
    Xi-Zhao Wang, Hong-Wei Yang, Ming-Hua Zhao, Juan Sun, A Decision Tree Based on Hierarchical Decomposition, Proceedings of 2002 International Conference on Machine Learning and Cybernetics, Beijing, 4-5 November 2002, Volume 4, pp. 1824-1828.(EI)
  • [7]
    Li-Juan Wang, Xi-Zhao Wang, Ming-Hu Ha, Yin-Shan Gu, Mining the Weights of Similarity Measure Through Learning, Proceedings of 2002 International Conference on Machine Learning and Cybernetics, Beijing, 4-5 November 2002, Volume 4, pp. 1837-1841.(EI)
  • [6]
    Daniel So Yeung, Juan Sun, Xi-Zhao Wang, An Initial Comparison of Generalization-Capability between Crisp and Fuzzy Decision Trees, Proceedings of 2002 International Conference on Machine Learning and Cybernetics, Beijing, 4-5 November 2002, Volume 4, pp. 1846-1851.(EI)
  • [5]
    Shen-Shan Qiu, Eric C.C. Tsang, Daniel S. Yeung, Xi-Zhao Wang, Energy Function Criterion for Discrete Hopfield-Type Neural Network with Delay, Proceedings of 2002 International Conference on Machine Learning and Cybernetics, Beijing, 4-5 November 2002, Volume 4, pp. 2240-2244.(EI)
  • [4]
    Rui-Feng Xu, D. S. Yeung, Xi-Zhao Wang, Using neural network classifier in post-processing system for handwritten Chinese character recognition, IEEE International Conference on Systems, Man, and Cybernetics, 2001, Vol. 3, 2001, Page(s): 1497-1502.(EI)
  • [3]
    E. C. C. Tsang, D. S. Yeung, Xi-Zhao Wang, Learning weights of fuzzy production rules by a max-min neural network, IEEE International Conference on Systems, Man, and Cybernetics, Vol. 3, 2001, pp. 1485-1490.(EI)
  • [2]
    Xi-Zhao Wang, D. S. Yeung, Using fuzzy integral to modeling case-based reasoning with feature interaction, in Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, October 8-11, 2000, Nashville, Tennessee, USA, pp. 3660-3665.(EI)
  • [1]
    D. S. Yeung, Xi-Zhao Wang, Using a neuro-fuzzy technique to improve the clustering based on similarity, in Proceedings of IEEE International Conference on IEEE International Conference on Systems, Man, and Cybernetics, October 8-11, 2000, Nashville, Tennessee, USA, pp. 3693-3698.(EI)
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