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  1. Using TeX in your post
  2. Including a lecture video segment
  3. Matlab solutions?
  4. Homework 7 Problems #3 & #4
  5. What Quadratic Programming Package?
  6. Do we need "b" in HW7.8?
  7. SVM to return probabilistic output
  8. Using the whole Data lec13
  9. Lecture 14/normalized w
  10. HW 7, Q5 - a bit vague formulation
  11. Quadratic programming
  12. Question 2 and 4 train with full in-sample data?
  13. Octave QP issue
  14. Question about the constraints in Quadratic Programming
  15. Probs 8-9, clarification of understanding
  16. MATLAB, but no quadprog
  17. quadrat prog CVXOPT Python
  18. H7, Q3 - Validation Set
  19. Training v Testing set size rules of thumb...
  20. Calculating w from just support vectors--numerically risky?
  21. CVX bug (?)
  22. optimistic bias of validation set error
  23. Interaction of cross validation with model selection
  24. Discussion of Lecture 13 "Validation"
  25. Question about Generalization result of SV's
  26. SVMs and the input distribution
  27. HW 7 - Problem 6 clarification
  28. Odd results using LibSVM on Prob 8
  29. Some helpful (python) cvxopt guides
  30. good tutorials on constrained optimization
  31. large margins and the growth function
  32. SVM equation from Slides
  33. validation exercises, unclear about non-linear transformation functions
  34. HW7 Q1 Unique Best?
  35. Q8-Q10, computing b, Ein non-zero
  36. Support Vector Machines
  37. Questions 1-4: Clarification
  38. Q9, SVM vs PLA
  39. Hw7 Prob 7
  40. *ANSWER* hw7, q1..4
  41. *ANSWER* Question 9
  42. Clarification - Support Vectors decrease no. of features of W
  43. 2 preliminary technicalities on the SVM
  44. Interpretations on Q8 and Q9?
  45. Error using ipop package with R
  46. Hm 7 Q7
  47. REQUEST: Q7 How-To