Physiological Data Modeling Contest

1. Physiological Data Modeling Contest An ICML-2004 Workshop, July 8, 2004

2. Revelation of Contexts • Context 1 – Annotation 3004 • Context 2 – Annotation 5102 Watching TV Sleep

3. Revelation of Channels

4. Explanation of Channels • gsr_average • Measures sweat (conductivity across the skin) • Unit: micro Siemens • heat_flux_average • Measures heat lost to the environment • Unit: Watts/meter^2 • near_body_temp_average • Measures temperature near armband • Unit: degrees Centigrade • pedometer • Measures number of steps • Unit: steps • skin_temp_average • Measures temperature of skin in contact with armband • Unit: degrees Centigrade

5. Explanation of Channels • longitudinal_accelerometer_SAD • Measures Sum of Absolute Differences of vertical acceleration • Unit: g • longitudinal_accelerometer_average • Measures average of vertical acceleration • Unit: g • transverse_accelerometer_SAD • Measures Sum of Absolute Differences of horizontal acceleration • Unit: g • transverse_accelerometer_average • Measures average of horizontal acceleration • Unit: g

6. Revelation of Set Distributions

7. Brown – Zodiac • Summary of Approaches • Approach 1: No Chars • Approach 2: 1 Char • Approach 3: 2 Chars

8. Brown – Zodiac – Predictions Approach 1: No Chars

9. Brown – Zodiac – Results Approach 1: No Chars

10. Brown – Zodiac – Predictions Approach 2: 1 Char

11. Brown – Zodiac – Results Approach 2: 1 Char

12. Brown – Zodiac – Predictions Approach 3: 2 Chars

13. Brown – Zodiac – Results Approach 3: 2 Chars

14. Brown – Zodiac – Summary

15. Daimler Chrysler Research And Technology India • Summary of Approaches • Approach 1: Raw Data • Approach 2: PCA

16. Daimler Chrysler Research And Technology India – Predictions Approach 1: Raw Data

17. Daimler Chrysler Research And Technology India – Results Approach 1: Raw Data

18. Daimler Chrysler Research And Technology India – Predictions Approach 2: PCA

19. Daimler Chrysler Research And Technology India – Results Approach 2: PCA

20. Daimler Chrysler Research And Technology India – Summary

21. Leader Board

22. National Library of Medicine • Summary of Approaches • Approach 1: mDSB 1 • Approach 2: mDSB 2 • Approach 3: Simple Bayesian

23. National Library of Medicine – Predictions Approach 1: mDSB 1

24. National Library of Medicine – Results Approach 1: mDSB 1

25. National Library of Medicine – Predictions Approach 2: mDSB 2

26. National Library of Medicine – Results Approach 2: mDSB 2

27. National Library of Medicine – Predictions Approach 3: Simple Bayesian

28. National Library of Medicine – Results Approach 3: Simple Bayesian

29. National Library of Medicine – Summary

30. Leader Board

31. University of Texas Austin – Saurabh Amin • Summary of Approach

32. University of Texas Austin – Saurabh Amin – Predictions

33. University of Texas Austin – Saurabh Amin – Results

34. University of Texas Austin – Saurabh Amin – Summary

35. Leader Board

36. CMU – Informedia • Summary of Approaches • Approach 1: 50/50 • Approach 2: All Negative • Approach 3: Semi-Supervised

37. CMU – Informedia – Predictions Approach 1: 50/50

38. CMU – Informedia – Results Approach 1: 50/50

39. CMU – Informedia – Predictions Approach 2: All Negative

40. CMU – Informedia – Results Approach 2: All Negative

41. CMU – Informedia – Predictions Approach 3: Semi-Supervised

42. CMU – Informedia – Results Approach 3: Semi-Supervised

43. CMU – Informedia – Summary

44. Leader Board

45. University of Porto – João Gama • Summary of Approach • Approach: Ultra Fast Forrest of Trees

46. University of Porto – João Gama – Predictions Approach: Ultra Fast Forrest of Trees

47. University of Porto – João Gama – Results Approach: Ultra Fast Forrest of Trees

48. University of Porto – João Gama – Summary

49. Leader Board

50. Laboratoire de Recherche en Informatique • Summary of Approaches • Approach 1: Voting Procedure • Approach 2: Weighted Voting Procedure