Coauthor Index - Ask others: ACM DL/Guide - CiteSeerX - CSB - MetaPress - Google - Bing - Yahoo

* | 2009 | |
---|---|---|

91 | EE | Daniel S. Yeung: Sensitivity Based Generalization Error for Supervised Learning Problems with Application in Feature Selection. ADMA 2009: 3 |

90 | Daniel S. Yeung: Sensitivity based Generalization Error for Supervised Learning Problem with Applications in Model Selection and Feature Selection. ICINCO-ICSO 2009: 5 | |

89 | EE | Daniel S. Yeung, Patrick P. K. Chan, Wing W. Y. Ng: Radial Basis Function network learning using localized generalization error bound. Inf. Sci. 179(19): 3199-3217 (2009) |

2008 | ||

88 | EE | Eric C. C. Tsang, QingCai Chen, Suyun Zhao, Daniel S. Yeung, Xizhao Wang: Hybridization of Fuzzy and Rough Sets: Present and Future. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 45-64 |

87 | EE | Eric C. C. Tsang, Degang Chen, Daniel S. Yeung, Xizhao Wang, J. Lee: Attributes Reduction Using Fuzzy Rough Sets. IEEE T. Fuzzy Systems 16(5): 1130-1141 (2008) |

86 | EE | Xizhao Wang, Yuanyan Tang, Daniel S. Yeung: Editorial. IJPRAI 22(1): 1-2 (2008) |

85 | EE | Wing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang: The Localized Generalization Error Model for Single Layer Perceptron Neural Network and Sigmoid Support Vector Machine. IJPRAI 22(1): 121-135 (2008) |

84 | EE | Aki P. F. Chan, Patrick P. K. Chan, Wing W. Y. Ng, Eric C. C. Tsang, Daniel S. Yeung: A Novel Feature Grouping Method for Ensemble Neural Network Using Localized Generalization Error Model. IJPRAI 22(1): 137-151 (2008) |

83 | EE | Daniel S. Yeung, Xizhao Wang, Degang Chen: Preface: Recent advances in granular computing. Inf. Sci. 178(16): 3161-3162 (2008) |

82 | EE | Xizhao Wang, Chun-Guo Li, Daniel S. Yeung, ShiJi Song, HuiMin Feng: A definition of partial derivative of random functions and its application to RBFNN sensitivity analysis. Neurocomputing 71(7-9): 1515-1526 (2008) |

81 | EE | Wing W. Y. Ng, Daniel S. Yeung, Michael Firth, Eric C. C. Tsang, Xizhao Wang: Feature selection using localized generalization error for supervised classification problems using RBFNN. Pattern Recognition 41(12): 3706-3719 (2008) |

2007 | ||

80 | EE | Patrick P. K. Chan, Xiaoqin Zeng, Eric C. C. Tsang, Daniel S. Yeung, John W. T. Lee: Neural network ensemble pruning using sensitivity measure in web applications. SMC 2007: 3051-3056 |

79 | EE | Wing W. Y. Ng, Binbin Sun, Daniel S. Yeung, Xizhao Wang: Heuristic improvement for active learning using localized generalization error as selection criterion. SMC 2007: 3588-3593 |

78 | EE | Daniel S. Yeung, Wing W. Y. Ng, Defeng Wang, Eric C. C. Tsang, Xizhao Wang: Localized Generalization Error Model and Its Application to Architecture Selection for Radial Basis Function Neural Network. IEEE Transactions on Neural Networks 18(5): 1294-1305 (2007) |

77 | EE | Defeng Wang, Daniel S. Yeung, Eric C. C. Tsang: Weighted Mahalanobis Distance Kernels for Support Vector Machines. IEEE Transactions on Neural Networks 18(5): 1453-1462 (2007) |

76 | EE | Daniel S. Yeung, Shuyuan Jin, Xizhao Wang: Covariance-Matrix Modeling and Detecting Various Flooding Attacks. IEEE Transactions on Systems, Man, and Cybernetics, Part A 37(2): 157-169 (2007) |

75 | EE | Eric C. C. Tsang, S. S. Qiu, Daniel S. Yeung: Convergence Analysis of a Discrete Hopfield Neural Network with Delay and its Application to Knowledge Refinement. IJPRAI 21(3): 515-541 (2007) |

74 | EE | Shuyuan Jin, Daniel S. Yeung, Xizhao Wang: Internet Anomaly Detection Based on Statistical Covariance Matrix. IJPRAI 21(3): 591-606 (2007) |

73 | EE | Xizhao Wang, Eric C. C. Tsang, Suyun Zhao, Degang Chen, Daniel S. Yeung: Learning fuzzy rules from fuzzy samples based on rough set technique. Inf. Sci. 177(20): 4493-4514 (2007) |

72 | EE | Daniel S. Yeung, Defeng Wang, Wing W. Y. Ng, Eric C. C. Tsang, Xizhao Wang: Structured large margin machines: sensitive to data distributions. Machine Learning 68(2): 171-200 (2007) |

71 | EE | Eric C. C. Tsang, S. S. Qiu, Daniel S. Yeung: Stability analysis of a discrete Hopfield neural network with delay. Neurocomputing 70(13-15): 2598-2602 (2007) |

70 | EE | Wing W. Y. Ng, Andrés Dorado, Daniel S. Yeung, Witold Pedrycz, Ebroul Izquierdo: Image classification with the use of radial basis function neural networks and the minimization of the localized generalization error. Pattern Recognition 40(1): 19-32 (2007) |

69 | EE | Defeng Wang, Lin Shi, Daniel S. Yeung, Eric C. C. Tsang, Pheng-Ann Heng: Ellipsoidal support vector clustering for functional MRI analysis. Pattern Recognition 40(10): 2685-2695 (2007) |

68 | EE | Shuyuan Jin, Daniel S. Yeung, Xizhao Wang: Network intrusion detection in covariance feature space. Pattern Recognition 40(8): 2185-2197 (2007) |

67 | EE | Zhi-Qiang Liu, Xizhao Wang, Daniel S. Yeung: Machine Learning Techniques: Problems and Applications. By Guest Editors: Zhi-Qiang Liu, Daniel So Yeung, Xi-Zhao Wang, and Eric Tsang. Soft Comput. 11(4): 309 (2007) |

66 | EE | Wing W. Y. Ng, Daniel S. Yeung, Defeng Wang, Eric C. C. Tsang, Xizhao Wang: Localized Generalization Error of Gaussian-based Classifiers and Visualization of Decision Boundaries. Soft Comput. 11(4): 375-381 (2007) |

2006 | ||

65 | Daniel S. Yeung, Zhi-Qiang Liu, Xizhao Wang, Hong Yan: Advances in Machine Learning and Cybernetics, 4th International Conference, ICMLC 2005, Guangzhou, China, August 18-21, 2005, Revised Selected Papers Springer 2006 | |

64 | EE | Alex K. S. Wong, John W. T. Lee, Daniel S. Yeung: Improving Text Classifier Performance based on AUC. ICPR (3) 2006: 268-271 |

63 | EE | Degang Chen, Wenxiu Zhang, Daniel S. Yeung, Eric C. C. Tsang: Rough approximations on a complete completely distributive lattice with applications to generalized rough sets. Inf. Sci. 176(13): 1829-1848 (2006) |

62 | EE | Yingfeng Wang, Xiaoqin Zeng, Daniel S. Yeung, Zhihang Peng: Computation of Madalines' Sensitivity to Input and Weight Perturbations. Neural Computation 18(11): 2854-2877 (2006) |

61 | EE | Xiaoqin Zeng, Daniel S. Yeung: Hidden neuron pruning of multilayer perceptrons using a quantified sensitivity measure. Neurocomputing 69(7-9): 825-837 (2006) |

60 | EE | Zhi-Qiang Liu,
Daniel S. Yeung,
Xizhao Wang,
Eric C. C. Tsang,
John W. T. Lee:
Preface for the special issue: soft computing in machine learning and cybernetics in the journal Soft Computing.
Soft Comput. 10(1): 1 (2006) |

59 | EE | John W. T. Lee, Daniel S. Yeung, Eric C. C. Tsang: Rough sets and ordinal reducts. Soft Comput. 10(1): 27-33 (2006) |

58 | EE | Ming Lu, Daniel S. Yeung, Wing W. Y. Ng: Applying undistorted neural network sensitivity analysis in iris plant classification and construction productivity prediction. Soft Comput. 10(1): 68-77 (2006) |

2005 | ||

57 | EE | Defeng Wang, Daniel S. Yeung, Eric C. C. Tsang, Lin Shi: Gene Selection Through Sensitivity Analysis of Support Vector Machines. CompLife 2005: 117-127 |

56 | EE | Eric C. C. Tsang, Suyun Zhao, Daniel S. Yeung, John W. T. Lee: Learning from an Incomplete Information System with Continuous-Valued Attributes by a Rough Set Technique. ICMLC 2005: 568-577 |

55 | EE | Aki P. F. Chan, Daniel S. Yeung, Eric C. C. Tsang, Wing W. Y. Ng: Empirical Study on Fusion Methods Using Ensemble of RBFNN for Network Intrusion Detection. ICMLC 2005: 682-690 |

54 | EE | Shuyuan Jin, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang: A Covariance Matrix Based Approach to Internet Anomaly Detection. ICMLC 2005: 691-700 |

53 | EE | Alex K. S. Wong, John W. T. Lee, Daniel S. Yeung: Use of Linguistic Features in Context-Sensitive Text Classification. ICMLC 2005: 701-710 |

52 | EE | Yingfeng Wang, Xiaoqin Zeng, Daniel S. Yeung: Sensitivity Analysis of Madalines to Weight Perturbation. ICMLC 2005: 822-831 |

51 | EE | Wing W. Y. Ng, Aki P. F. Chan, Daniel S. Yeung, Eric C. C. Tsang: Construction of High Precision RBFNN with Low False Alarm for Detecting Flooding Based Denial of Service Attacks Using Stochastic Sensitivity Measure. ICMLC 2005: 851-860 |

50 | EE | Aki P. F. Chan, Wing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang: Multiple Classifier System with Feature Grouping for Intrusion Detection: Mutual Information Approach. KES (3) 2005: 141-148 |

49 | EE | Defeng Wang, Lin Shi, Daniel S. Yeung, Pheng-Ann Heng, Tien-Tsin Wong, Eric C. C. Tsang: Support Vector Clustering for Brain Activation Detection. MICCAI 2005: 572-579 |

48 | EE | Daniel S. Yeung, Degang Chen, Eric C. C. Tsang, John W. T. Lee, Xizhao Wang: On the generalization of fuzzy rough sets. IEEE T. Fuzzy Systems 13(3): 343-361 (2005) |

47 | EE | Qiwen Ran, Daniel S. Yeung, Eric C. C. Tsang, Qi Wang: General multifractional Fourier transform method based on the generalized permutation matrix group. IEEE Transactions on Signal Processing 53(1): 83-98 (2005) |

46 | EE | Xiaolong Wang, Daniel S. Yeung, James N. K. Liu, Robert Wing Pong Luk, Xuan Wang: A Hybrid Language Model Based On Statistics And Linguistic Rules. IJPRAI 19(1): 109-128 (2005) |

45 | EE | Ruifeng Xu, Daniel S. Yeung, Daming Shi: A hybrid post-processing system for offline handwritten chinese character recognition based on a statistical language model. IJPRAI 19(3): 415-428 (2005) |

44 | EE | Lei Lin, Xiaolong Wang, Daniel S. Yeung: Combining multiple classifiers based on a statistical method for handwritten Chinese character recognition. IJPRAI 19(8): 1027-1040 (2005) |

43 | EE | Kwok Cheung Lan, Kei Shiu Ho, Robert Wing Pong Luk, Daniel S. Yeung: FNDS: a dialogue-based system for accessing digested financial news. Journal of Systems and Software 78(2): 180-193 (2005) |

42 | EE | Daming Shi, Daniel S. Yeung, Junbin Gao: Sensitivity analysis applied to the construction of radial basis function networks. Neural Networks 18(7): 951-957 (2005) |

41 | EE | Xizhao Wang, Qiang He, Degang Chen, Daniel S. Yeung: A genetic algorithm for solving the inverse problem of support vector machines. Neurocomputing 68: 225-238 (2005) |

40 | EE | John W. T. Lee, Daniel S. Yeung, Eric C. C. Tsang: Hierarchical clustering based on ordinal consistency. Pattern Recognition 38(11): 1913-1925 (2005) |

39 | EE | Kei Yuen Hung, Robert Wing Pong Luk, Daniel S. Yeung, Korris Fu-Lai Chung, Wenhao Shu: A multiple classifier approach to detect Chinese character recognition errors. Pattern Recognition 38(5): 723-738 (2005) |

2004 | ||

38 | EE | Daming Shi, Junbin Gao, Daniel S. Yeung, Fei Chen: Radial Basis Function Network Pruning by Sensitivity Analysis. Canadian Conference on AI 2004: 380-390 |

37 | EE | Daming Shi, Geok See Ng, Junbin Gao, Daniel S. Yeung: Critical Vector Learning to Construct RBF Classifiers. ICPR (3) 2004: 359-362 |

36 | EE | Xizhao Wang, Chunru Dong, Daniel S. Yeung: A study on generalization capability of weighted fuzzy production rules with maximum entropy. SMC (4) 2004: 3181-3186 |

35 | EE | Wing W. Y. Ng, Daniel S. Yeung, Ian Cloete: Quantitative study on effect of center selection to RBFNN classification performance. SMC (4) 2004: 3692-3697 |

34 | EE | Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang: Handling interaction in fuzzy production rule reasoning. IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(5): 1979-1987 (2004) |

33 | EE | Guoliang Qian, Daniel S. Yeung, Eric C. C. Tsang, Wenhao Shu: Feature Selection For Chinese Character Recognition Based On Inductive Learning. IJPRAI 18(8): 1453-1471 (2004) |

2003 | ||

32 | EE | Daniel S. Yeung, Hank-Shun Fong, Eric C. C. Tsang, Wenhao Shu, Xiaolong Wang: An Approach To Natural Stroke Extraction For Off-Line Loosely-Constrained Handwritten Chinese Characters. IJPRAI 17(8): 1483-1513 (2003) |

31 | EE | Xiaoqin Zeng, Daniel S. Yeung: A Quantified Sensitivity Measure for Multilayer Perceptron to Input Perturbation. Neural Computation 15(1): 183-212 (2003) |

30 | Robert W. P. Luk, Daniel S. Yeung, Qin Lu, H. L. Leung, S. Y. Li, Fred Leung: ASAB: a Chinese screen reader. Softw., Pract. Exper. 33(3): 201-219 (2003) | |

2002 | ||

29 | EE | Daniel S. Yeung, Xizhao Wang: Improving Performance of Similarity-Based Clustering by Feature Weight Learning. IEEE Trans. Pattern Anal. Mach. Intell. 24(4): 556-561 (2002) |

28 | Eric C. C. Tsang, John W. T. Lee, Daniel S. Yeung: Tuning certainty factor and local weight of fuzzy production rules by using fuzzy neural network. IEEE Transactions on Systems, Man, and Cybernetics, Part B 32(1): 91-98 (2002) | |

2001 | ||

27 | Shenshan Qiu, Eric C. C. Tsang, Daniel S. Yeung, Xizhao Wang: A General Updating Rule for Discrete Hopfield-Type Neural Network with Delay. IJCAI 2001: 789-796 | |

26 | Daniel S. Yeung, Xuequan Sun, Xiaoqin Zeng: Sensitivity Analysis of Multilayer Perceptron. IJCAI 2001: 809-818 | |

25 | Simon C. K. Shiu, Daniel S. Yeung, Cai Hung Sun, Xizhao Wang: Transferring Case Knowledge to Adaptation Knowledge: An Approach for Case-Base Maintenance. Computational Intelligence 17(2): 295-314 (2001) | |

24 | EE | Xizhao Wang, Yadong Wang, X. F. Xu, W. D. Ling, Daniel S. Yeung: A new approach to fuzzy rule generation: fuzzy extension matrix. Fuzzy Sets and Systems 123(3): 291-306 (2001) |

23 | Xizhao Wang, Daniel S. Yeung, Eric C. C. Tsang: A comparative study on heuristic algorithms for generating fuzzy decision trees. IEEE Transactions on Systems, Man, and Cybernetics, Part B 31(2): 215-226 (2001) | |

22 | EE | Kei Yuen Hung, Robert W. P. Luk, Daniel S. Yeung, Korris Fu-Lai Chung, Wenhao Shu: Determination of Context Window Size. Int. J. Comput. Proc. Oriental Lang. 14(1): 71-80 (2001) |

21 | EE | Daniel S. Yeung, Shenshan Qiu, Eric C. C. Tsang, Xizhao Wang: A General Updating Rule for Discrete Hopfield-Type Neural Network with Time-Delay and the Corresponding Search Algorithm. International Journal of Computational Intelligence and Applications 1(4): 399-412 (2001) |

2000 | ||

20 | EE | Robert W. P. Luk, Daniel S. Yeung, Qin Lu, Eric Leung, S. Y. Li, Fred Leung: Digital library access for Chinese visually impaired. ACM DL 2000: 244-245 |

19 | EE | Simon C. K. Shiu, Cai Hung Sun, Xizhao Wang, Daniel S. Yeung: Maintaining Case-Based Reasoning Systems Using Fuzzy Decision Trees. EWCBR 2000: 285-296 |

1999 | ||

18 | A. Y. Cheng, Daniel S. Yeung: Sensitivity analysis of neocognitron. IEEE Transactions on Systems, Man, and Cybernetics, Part C 29(2): 238-249 (1999) | |

17 | EE | Daming Shi, Chunlei Dong, Daniel S. Yeung: Neocognitron's Parameter Tuning by Genetic Algorithms. Int. J. Neural Syst. 9(6): 497-509 (1999) |

16 | EE | Daniel S. Yeung, Simon C. K. Shiu, Eric C. C. Tsang: Modelling flexible manufacturing systems using weighted Fuzzy Coloured Petri Nets. Journal of Intelligent and Fuzzy Systems 7(2): 137-149 (1999) |

1998 | ||

15 | Daniel S. Yeung, Eric C. C. Tsang: A multilevel weighted fuzzy reasoning algorithm for expert systems. IEEE Transactions on Systems, Man, and Cybernetics, Part A 28(2): 149-158 (1998) | |

1997 | ||

14 | EE | Wilson W. S. Ip, Korris Fu-Lai Chung, Daniel S. Yeung: Offline Handwritten Chinese Character Recognition viaRadical Extraction and Recognition. ICDAR 1997: 185-189 |

13 | EE | Eric C. C. Tsang, Daniel S. Yeung: Acquiring and tuning knowledge representation parameters of fuzzy production rules using fuzzy expert networks. KES (2) 1997: 409-418 |

12 | EE | Simon C. K. Shiu, James N. K. Liu, Daniel S. Yeung: Formal verification of the correctness in hybrid expert systems. KES (2) 1997: 419-428 |

11 | Daniel S. Yeung, Eric C. C. Tsang: A comparative study on similarity-based fuzzy reasoning methods. IEEE Transactions on Systems, Man, and Cybernetics, Part B 27(2): 216-227 (1997) | |

1996 | ||

10 | EE | Allan K. Y. Wong, Daniel S. Yeung: A Communication Layer for the Construction of Global, Transparent and Quasi-optimal Virtual Machines for Distributed Computing. ISPAN 1996: 161-167 |

9 | EE | Daniel S. Yeung, Allan K. Y. Wong: Automatic Software Generation in the OORHS Distributed Computing Framework. ISPAN 1996: 349-356 |

8 | EE | Paul K. O. Chow, Daniel S. Yeung: Behavioural modelling in object-oriented methodology. Information & Software Technology 38(10): 657-666 (1996) |

7 | EE | Daniel S. Yeung, Hank-Shun Fong: A fuzzy substroke extractor for handwritten Chinese characters. Pattern Recognition 29(12): 1963-1980 (1996) |

1995 | ||

6 | EE | Simon C. K. Shiu, James N. K. Liu, Daniel S. Yeung: Modelling Hybrid Rule/Frame-Based Expert Systems Using Coloured Petri Nets. IEA/AIE 1995: 525-531 |

5 | EE | Daniel S. Yeung, Raymond H. S. Fong: A knowledge matrix representation for a rule-mapped neural network. Neurocomputing 7(2): 123-144 (1995) |

1994 | ||

4 | Daniel S. Yeung, Hank-Shun Fong: Knowledge Matrix - An Explanation & Knowledge Refinement Facility for a Rule Induced Neural Network. AAAI 1994: 889-894 | |

3 | EE | Daniel S. Yeung, Hing-Yip Chan, Kwan-Fai Cheung: Incorporating Production Rules with Spatial Information Onto a Neocognitron Neural Network. Int. J. Neural Syst. 5(2): 131-142 (1994) |

2 | EE | Daniel S. Yeung, Hing-Yip Chan: A Hybrid Cognitive System Using Production Rules to Synthesize Neocognitrons. Int. J. Neural Syst. 5(4): 345-355 (1994) |

1 | Daniel S. Yeung, Hank-Shun Fong: Handwritten Chinese Character Recognition by Rule-Embedded Neocognitron. Neural Computing and Applications 2(4): 216-226 (1994) |