Wen-Chi Yang

Computer Science

1. Weak Classifier 100%
2. Classification Problem 89%
3. multiagent learning 59%
4. Training Process 59%
5. Benchmark Task 59%
6. Trajectory Semantics 59%
7. Binary Encoding 59%
8. Expression Recognition 59%
9. Evolutionary Model 59%
10. Linguistic Analysis 59%
11. Neural Network 59%
12. Facial Expression 59%
13. Historical Data 59%
14. Related Comment 59%
15. Research Infrastructure 59%
16. Urban Research 59%
17. Choke Point 59%
18. Computational System 59%
19. Change Pattern 59%
20. Motion Pattern 59%
21. Support Vector Machine 59%
22. Classification Algorithm 59%
23. Behavioral Evolution 59%
24. Deep Neural Network 49%
25. Deep Learning Method 40%
26. Power Consumption 40%
27. Learning Approach 40%
28. Relative Position 29%
29. One-shot Learning 29%
30. Configuration Object 29%
31. Scale Parameter 29%
32. classifier ensemble 29%
33. Classification Task 29%
34. Computational Cost 29%
35. Adaptive System 29%
36. Gradient Descent 29%
37. Neural Network Model 29%
38. Imbalanced Data 29%
39. Central Position 29%
40. Matching Process 29%
41. Direct Mapping 29%
42. Factorization Algorithm 29%
43. Prediction Accuracy 19%
44. Matrix Operation 19%
45. Motion Behavior 19%
46. histogram of oriented gradient 19%
47. Cognitive System 19%
48. Configuration Model 19%
49. Ensemble Learning 19%
50. binary classifier 19%