Computer Science

1. Models 100%
2. User 77%
3. Modeling 27%
4. Gaussian Process 23%
5. Computation 19%
6. Elicitation 18%
7. Intents 18%
8. Artificial Intelligence 17%
9. Optimization 17%
10. Domains 15%
11. Reinforcement Learning 15%
12. Regression 14%
13. Application 13%
14. Machine Learning 13%
15. Functions 12%
16. Design 12%
17. Knowledge Acquisition 12%
18. Representation 11%
19. Real World 11%
20. Expert Knowledge 11%
21. Matrix Factorization 11%
22. Accuracy 10%
23. Visualization 9%
24. Algorithms 9%
25. Human-in-the-Loop 9%
26. User Modeling 8%
27. Approximation (Algorithm) 8%
28. Prediction Accuracy 8%
29. Factorization 7%
30. Decision-Making 7%
31. Inference Method 7%
32. Differential Privacy 7%
33. Active Learning 7%
34. Synthetic Data 6%
35. Information Retrieval 6%
36. Networks 6%
37. Communication 6%
38. Case Study 5%
39. Standards 5%
40. Contexts 5%
41. Relevance Feedback 5%
42. Detection 5%
43. Multiple Data Source 5%
44. Links 5%