Showing below up to 50 results in range #151 to #200.

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  1. Homework 6 - Don't know 5.8 →‎ Homework 6 - Don't know 5.8 (ECE301Summer2008asan)
  2. Hw1discussionMA351Baudoin →‎ Hw1discussionMA351Fall09Baudoin
  3. Hw3.7 Evan Witkoske ECE301 summer2009 →‎ HW 3.7 - Evan Witkoske ECE301 summer2009
  4. Hw 2 OldKiwi →‎ Homework 2 OldKiwi
  5. Hw 2 Old Kiwi →‎ Homework 2 Old Kiwi
  6. Info for 1st years OldKiwi →‎ Useful Information OldKiwi
  7. Info for 1st years Old Kiwi →‎ Useful Information Old Kiwi
  8. LTI System Properties →‎ System Properties
  9. Lab 1 Additional Information →‎ Lab 1 Additional Information ECE637 Spring2013 Bouman
  10. Lab 2 Additional Information →‎ Lab 2 Additional Information ECE637 Spring2013 Bouman
  11. Lab 3 Additional Information →‎ Lab 3 Additional Information ECE637 Spring2013 Bouman
  12. Lab 4 Additional Information →‎ Lab 4 Additional Information ECE637 Spring2013 Bouman
  13. Lab 5 Additional Information →‎ Lab 5 Additional Information ECE637 Spring2013 Bouman
  14. LaplaceTransformPairsCollectedfromECE301 →‎ Laplace Transforms Table
  15. Lecture2ECE438FF10 →‎ Lecture2ECE438F10
  16. Lecture2ECE438FS10 →‎ Lecture2ECE438F10
  17. Lecture6 blog ECE400S12 →‎ Lecture6ECE400S12
  18. Lecture 11 OldKiwi →‎ Lecture 11 - Fischer's Linear Discriminant again OldKiwi
  19. Lecture 11 Old Kiwi →‎ Lecture 11 - Fischer's Linear Discriminant again Old Kiwi
  20. Lecture 2 OldKiwi →‎ Lecture 2 - Decision Hypersurfaces OldKiwi
  21. Lecture 2 Old Kiwi →‎ Lecture 2 - Decision Hypersurfaces Old Kiwi
  22. Lecture 3 - Bayes Theorem and its Application to Pattern Recognition OldKiwi →‎ From Bayes Theorem to Pattern Recognition via Bayes Rule
  23. Lecture 3 OldKiwi →‎ Lecture 3 - Bayes classification OldKiwi
  24. Lecture 3 Old Kiwi →‎ Lecture 3 - Bayes classification Old Kiwi
  25. Lecture 4 - Bayes Classfication OldKiwi →‎ Lecture 4 - Bayes Classification OldKiwi
  26. Lecture 4 - Bayes Classfication Old Kiwi →‎ Lecture 4 - Bayes Classification Old Kiwi
  27. Lecture 4 OldKiwi →‎ Lecture 4 - Bayes Classification OldKiwi
  28. Lecture 4 Old Kiwi →‎ Lecture 4 - Bayes Classification Old Kiwi
  29. Lecture 6 ECE302Fall2008sanghavi →‎ Lecture 5 ECE302Fall2008sanghavi
  30. Lecture 7 OldKiwi →‎ Lecture 7 - MLE and BPE OldKiwi
  31. Lecture 7 Old Kiwi →‎ Lecture 7 - MLE and BPE Old Kiwi
  32. Lecture 8 OldKiwi →‎ Lecture 8 - MLE, BPE and Linear Discriminant Functions OldKiwi
  33. Lecture 8 Old Kiwi →‎ Lecture 8 - MLE, BPE and Linear Discriminant Functions Old Kiwi
  34. MA421 Announcement Spring2010 →‎ MA421 Announcement Spring2011
  35. MA 375 Spring 2009 Walther display →‎ How to display pages in other pages
  36. MA 598R Summer 2009 Weigel →‎ MA598R (WeigelSummer2009)
  37. Maymester Intro to Machine learning 2010 →‎ Maymester Intro to Machine learning 2011
  38. MegaCollectiveTableTrial1 →‎ Collective Table of Formulas
  39. Multimeans of Taylor Series MA181Fall2008bell →‎ Multimeans of Pi Series MA181Fall2008bell
  40. Official Statements of the Sampling Theorem →‎ Official Statements of the Sampling Theorem (ECE301Summer2008asan)
  41. Origin →‎ Origin of the Laplace Transform
  42. Peer Legacy ECE202TalavageFall2009 →‎ Peer Legacy ECE202
  43. Peer Legacy ECE495 →‎ Peer Legacy ECE495VIP
  44. Peer Legacy EPIS →‎ Peer Legacy EPICS
  45. Peer evals OldKiwi →‎ Peer review OldKiwi
  46. Peer evals Old Kiwi →‎ Peer review Old Kiwi
  47. Powers table →‎ First submission
  48. Practice Question Mounty Hall ECE302S13Boutin →‎ Practice Question Monty Hall ECE302S13Boutin
  49. Practice Question uniform random variable CDF2 ECE302S13Boutin →‎ Practice Question linear random variable probability ECE302S13Boutin
  50. Practice Question uniform random variable mean CDF ECE302S13Boutin →‎ Practice Question uniform random variable mean ECE302S13Boutin

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Alumni Liaison

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva