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View Full Version : Chapter 2 - Training versus Testing


  1. Exercises and Problems
  2. Shattering by dichotomies
  3. Hoeffding's inequality
  4. Regression and VC dimension
  5. Questions on Probability
  6. consistency issue on page 65
  7. bias and variance - definition of g bar
  8. is Logistic discriminant analysis is logistic regression? what about others?
  9. Growth function question.
  10. Multiple bins
  11. ERRATA: typesetting error with brackets at top of page 63
  12. Positive intervals
  13. Separating cv,test data and class distr.
  14. Hiding Initial Hypothesis from the Data
  15. Problem 2.14(c)
  16. Questions on Problem 2.24
  17. Problem 2.8
  18. Growth Function division into S1 and S2
  19. Question on VC dimension
  20. Out of sample error for Example 2.8
  21. Exercise problem 2.4
  22. Problem 2.5 - Proof by induction
  23. Practically finding break point or VC dimension
  24. Description on page 55
  25. Proof of Growth Function when Points are not binary
  26. The other side of |Eout - Ein|<= epsilon
  27. Page 47 / Lecture 6 (10 min) Partitioning the table
  28. Exchange of expectations in derivation of bias-variance decomposition
  29. Page 63 and excercise 2.8
  30. Problem 2.15b
  31. Why are 2.5 and 2.6 on page 48 inequalities?
  32. Exercise 2.13
  33. Positive intervals - is it typo error?
  34. Breaking Point
  35. Problem 2.16
  36. Bias-Variance Analysis
  37. Problem with understanding the proof of Sauer Lemma
  38. Help in understanding proof for VC-dimension of perceptron.
  39. Exercise 2.1
  40. Exercise 2.8
  41. 2.24d)
  42. Problem 2.3c
  43. Exercise 2.2 - Requesting Clarification
  44. Exercise 2.6
  45. problem 2.14-(b)
  46. Problem 2.10
  47. Problem 2.14(a + c)
  48. problem 2.15b, dimension?
  49. Exercise 2.8
  50. equation 2.13 on page 57
  51. Problem 2.5