144 results on '"Tsang, Eric C. C."'
Search Results
2. Fast and Robust Attribute Reduction Based on the Separability in Fuzzy Decision Systems
3. A novel approach to concept-cognitive learning in interval-valued formal contexts: a granular computing viewpoint
4. Distance metric learning with local multiple kernel embedding
5. Feature selection based on min-redundancy and max-consistency
6. Double-Quantitative-Based Knowledge Reduction Approach to Inconsistency Information System
7. Fuzzt Set-Based Kernel Extreme Learning Machine Autoencoder for Multi-Label Classification
8. Rule Acquisition Based on Multi-Level Cognitive Learning in Multi-Decision Data
9. An Object-Induced Fuzzy Three-Way Concept Lattice Analysis Based on Two Thresholds
10. A novel approach to concept-cognitive learning in interval-valued formal contexts: a granular computing viewpoint
11. Multigranulation Set-valued Rough Set Model
12. Feature selection based on min-redundancy and max-consistency
13. Causative label flip attack detection with data complexity measures
14. A Fast Algorithm to Building a Fuzzy Rough Classifier
15. Face Recognition Using Genetic Algorithm
16. Supervised Neighborhood Based Ensemble Attribute Reduction
17. Causative label flip attack detection with data complexity measures
18. Neighborhood attribute reduction approach to partially labeled data
19. Multi-level cognitive concept learning method oriented to data sets with fuzziness: a perspective from features
20. Attribute-oriented cognitive concept learning strategy: a multi-level method
21. Order based hierarchies on hesitant fuzzy approximation space
22. Multi-level cognitive concept learning method oriented to data sets with fuzziness: a perspective from features
23. Learning from an Incomplete Information System with Continuous-Valued Attributes by a Rough Set Technique
24. Construction of High Precision RBFNN with Low False Alarm for Detecting Flooding Based Denial of Service Attacks Using Stochastic Sensitivity Measure
25. Empirical Study on Fusion Methods Using Ensemble of RBFNN for Network Intrusion Detection
26. Refinement of Fuzzy Production Rules by Using a Fuzzy-Neural Approach
27. A Covariance Matrix Based Approach to Internet Anomaly Detection
28. Support Vector Clustering for Brain Activation Detection
29. Gene Selection Through Sensitivity Analysis of Support Vector Machines
30. Multiple Classifier System with Feature Grouping for Intrusion Detection: Mutual Information Approach
31. Training an extreme learning machine by localized generalization error model
32. Neighborhood attribute reduction approach to partially labeled data
33. Attribute-oriented cognitive concept learning strategy: a multi-level method
34. Extracting Rules and Knowledge in Multi-Level Information Table
35. General relation-based variable precision rough fuzzy set
36. Multigranulation soft rough sets
37. Hybridization of Fuzzy and Rough Sets: Present and Future
38. Neighborhood collaborative classifiers
39. Minimum decision cost reduct for fuzzy decision-theoretic rough set model
40. Random analysis of statistical rough set
41. Construction of High Precision RBFNN with Low False Alarm for Detecting Flooding Based Denial of Service Attacks Using Stochastic Sensitivity Measure
42. A Covariance Matrix Based Approach to Internet Anomaly Detection
43. Empirical Study on Fusion Methods Using Ensemble of RBFNN for Network Intrusion Detection
44. On the Local Reduction of Information System
45. Learning from an Incomplete Information System with Continuous-Valued Attributes by a Rough Set Technique
46. Refinement of Fuzzy Production Rules by Using a Fuzzy-Neural Approach
47. Feature and instance reduction for PNN classifiers based on fuzzy rough sets
48. General relation-based variable precision rough fuzzy set
49. A method to fuzzy multi-objective problems under random environment
50. The comparative study of fuzzy rough reduction
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