• *A tutorial about [[bayes_theorem_S13|Bayes' Theorem]], by [[user:Mhossain|Maliha Hossain]]
    1 KB (195 words) - 07:52, 15 May 2013
  • [[Lecture 3 - Bayes classification_OldKiwi|3]]| [[Lecture 4 - Bayes Classification_OldKiwi|4]]|
    8 KB (1,403 words) - 11:17, 10 June 2013
  • [[Lecture 3 - Bayes classification_OldKiwi|3]]| [[Lecture 4 - Bayes Classification_OldKiwi|4]]|
    6 KB (813 words) - 11:18, 10 June 2013
  • *A tutorial about [[bayes_theorem_S13|Bayes' Theorem]], by [[Math_squad|Math Squad]] member [[user:Mhossain|Maliha Hossain]]
    10 KB (1,422 words) - 20:14, 30 April 2013
  • In Lecture 6, we presented the total probability theorem and Bayes rule. We illustrated both of these using a chess tournament example. We als
    3 KB (363 words) - 06:30, 23 January 2013
  • = Bayes Decision Theory - Introduction = ...he card as ''y'', we can rearrange the equations 1 and 2 to come up with ''Bayes formula'' which is:
    5 KB (844 words) - 23:32, 28 February 2013
  • *[[bayes_theorem_S13|Bayes' Theorem]], by [[user:Mhossain|Maliha Hossain]]
    2 KB (287 words) - 13:01, 12 January 2018
  • [[Category:bayes rule]] == Bayes' Theorem ==
    4 KB (649 words) - 13:08, 25 November 2013
  • :↳ [[Bayes_theorem_S13|Bayes' Theorem]] <pre>keyword: probability, Bayes' Theorem, Bayes' Rule </pre>
    4 KB (592 words) - 13:09, 25 November 2013
  • :↳ [[Bayes_theorem_S13|Bayes' Theorem]] <pre>keyword: probability, false positive, Bayes' Theorem, Bayes' Rule </pre>
    3 KB (562 words) - 13:09, 25 November 2013
  • :↳ [[Bayes_theorem_S13|Bayes' Theorem]] <pre>keyword: probability, Monty Hall, Bayes' Theorem, Bayes' Rule </pre>
    5 KB (925 words) - 13:09, 25 November 2013
  • == Illustration of Bayes Rule == ...is essay, we will be looking at a real world illustration where we can use Bayes Rule to solve a problem.
    3 KB (415 words) - 18:34, 22 March 2013
  • ==Bayes' Theorem== ...) and P(B) are greater than zero. This expression is referred to as Bayes' Theorem. We will see other equivalent expressions when we cover random variables.
    6 KB (1,023 words) - 12:11, 21 May 2014
  • ...nal pmf of X. Recall [[ECE600_F13_Conditional_probability_mhossain|Bayes' theorem and the Total Probability Law]]:<br/> ...pmf of X given B and <math>p_X(x)</math> is the pmf of X. Note that Bayes' Theorem in this context requires not only that P(B) >0 but also that P(X = x) > 0.
    6 KB (1,109 words) - 12:11, 21 May 2014
  • We often use a form of Bayes' Theorem, which we will discuss later, to get this probability.
    8 KB (1,524 words) - 12:12, 21 May 2014
  • *Slectures on Bayes Rule **Bayes Rule in Layman's Terms
    10 KB (1,450 words) - 20:50, 2 May 2016
  • [[Category:Bayes' Theorem]] [[Category:Bayes' Rule]]
    14 KB (2,241 words) - 10:42, 22 January 2015
  • #REDIRECT [[From Bayes Theorem to Pattern Recognition via Bayes Rule]]
    70 B (10 words) - 07:10, 12 February 2014
  • '''Upper Bounds for Bayes Error''' <br /> ...ata. Then we will present the probability of error that results from using Bayes rule.
    13 KB (2,062 words) - 10:45, 22 January 2015
  • Classification using Bayes Rule in 1-dimensional and N-dimensional feature spaces ...mensional feature space. So, we will take a look at what the definition of Bayes rule is, how it can be used for the classification task with examples, and
    19 KB (3,255 words) - 10:47, 22 January 2015

View (previous 20 | next 20) (20 | 50 | 100 | 250 | 500)

Alumni Liaison

Questions/answers with a recent ECE grad

Ryne Rayburn