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