 | 2009 |
|---|
| 91 |       | 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 | | 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 | | 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 | | 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 | | Xizhao Wang,
Yuanyan Tang,
Daniel S. Yeung:
Editorial.
IJPRAI 22(1): 1-2 (2008) |
| 85 | | 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 | | 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 | | Daniel S. Yeung,
Xizhao Wang,
Degang Chen:
Preface: Recent advances in granular computing.
Inf. Sci. 178(16): 3161-3162 (2008) |
| 82 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | Shuyuan Jin,
Daniel S. Yeung,
Xizhao Wang:
Internet Anomaly Detection Based on Statistical Covariance Matrix.
IJPRAI 21(3): 591-606 (2007) |
| 73 | | 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 | | 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 | | 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 | | 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 | | 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 | | Shuyuan Jin,
Daniel S. Yeung,
Xizhao Wang:
Network intrusion detection in covariance feature space.
Pattern Recognition 40(8): 2185-2197 (2007) |
| 67 | | 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 | | 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 | | Alex K. S. Wong,
John W. T. Lee,
Daniel S. Yeung:
Improving Text Classifier Performance based on AUC.
ICPR (3) 2006: 268-271 |
| 63 | | 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 | | 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 | | Xiaoqin Zeng,
Daniel S. Yeung:
Hidden neuron pruning of multilayer perceptrons using a quantified sensitivity measure.
Neurocomputing 69(7-9): 825-837 (2006) |
| 60 | | 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 | | John W. T. Lee,
Daniel S. Yeung,
Eric C. C. Tsang:
Rough sets and ordinal reducts.
Soft Comput. 10(1): 27-33 (2006) |
| 58 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | Yingfeng Wang,
Xiaoqin Zeng,
Daniel S. Yeung:
Sensitivity Analysis of Madalines to Weight Perturbation.
ICMLC 2005: 822-831 |
| 51 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | Daming Shi,
Geok See Ng,
Junbin Gao,
Daniel S. Yeung:
Critical Vector Learning to Construct RBF Classifiers.
ICPR (3) 2004: 359-362 |
| 36 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | Daming Shi,
Chunlei Dong,
Daniel S. Yeung:
Neocognitron's Parameter Tuning by Genetic Algorithms.
Int. J. Neural Syst. 9(6): 497-509 (1999) |
| 16 | | 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 | | 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 | | 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 | | 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 | | 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 | | Daniel S. Yeung,
Allan K. Y. Wong:
Automatic Software Generation in the OORHS Distributed Computing Framework.
ISPAN 1996: 349-356 |
| 8 | | Paul K. O. Chow,
Daniel S. Yeung:
Behavioural modelling in object-oriented methodology.
Information & Software Technology 38(10): 657-666 (1996) |
| 7 | | Daniel S. Yeung,
Hank-Shun Fong:
A fuzzy substroke extractor for handwritten Chinese characters.
Pattern Recognition 29(12): 1963-1980 (1996) |
| 1995 |
|---|
| 6 | | 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 | | 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 | | 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 | | 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) |
