Search results for "Bayes' Rule" - Rhea

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• ECE662 topic2 discussions
  =Is Bayes' Rule Truly the Best?=
  535 B (72 words) - 10:09, 1 March 2010
• EE662Sp10BayesExample
  Or, equivalently, we can use Bayes' Rule explicity. Bayes' Rule is:
  7 KB (948 words) - 04:35, 2 February 2010
• Hw1 ECE662Spring2010
  :Experiment with Bayes rule for normally distributed features. Summarize your experiments, results, and
  1 KB (149 words) - 09:07, 6 October 2010
• ECE662 hw1 discussions
  ...10|here]]) is a freeform exercise that consists in applying Bayes decision rule to Normally distributed data. The next homework will consists in a peer rev
  4 KB (596 words) - 13:17, 12 November 2010
• Star feedbackECE662S2010
  ...Bayes_Rate_Fallacy:_Bayes_Rules_under_Severe_Class_Imbalance|page on Bayes rule under severe class imbalance]] ...esome [[EE662Sp10OptimalPrediction|page discussing the optimality of Bayes rule]].
  7 KB (1,009 words) - 11:27, 13 April 2010
• OutlineECE662S10
  | 4. Bayes Rule *The nearest neighbor classification rule.
  1 KB (165 words) - 08:55, 22 April 2010
• Hw2 ECE662Spring2010
  Experiment with making decisions using Bayes rule and parametric density estimation. Summarize your experiments, results, and
  849 B (115 words) - 15:33, 10 May 2010
• Hw3 ECE662Spring2010
  Experiment with making decisions using Bayes rule and non-parametric density estimation. Summarize your experiments, results,
  904 B (122 words) - 15:16, 10 May 2010
• Lecture4ECE662S10
  ...ntroduced [[Bayes_Decision_Theory|Bayes rule]] for making decisions. (This rule is the basis for this course.) We focused our discussion on the case where
  649 B (85 words) - 11:41, 13 April 2010
• Lecture5ECE662S10
  ...that the example previously proposed performs worse]] than following Bayes rule. ...expected loss (called "risk") when following [[Bayes_Decision_Theory|Bayes rule]].
  968 B (131 words) - 11:42, 13 April 2010
• Lecture6ECE662S10
  ...minant functions]] and their relationship to [[Bayes_Decision_Theory|Bayes rule]]. We focused on discriminant functions when the class densities are normal
  462 B (56 words) - 08:48, 11 May 2010
• Bayes Rate Fallacy: Bayes Rules under Severe Class Imbalance
  [[Category:Bayes decision rule]] [[Bayes Decision Theory|Bayes decision rule]] is a simple, intuitive and powerful classifier. It allows to select the m
  5 KB (694 words) - 12:41, 2 February 2012
• Lecture23ECE662S10
  ...ut [[Bayes Rate Fallacy: Bayes Rules under Severe Class Imbalance‎|Bayes rule under severe class imbalance]]. Please join in!
  1 KB (210 words) - 09:20, 15 April 2010
• Bayes Decision Theory
  ...uld choose the most likely class given the observation. By following Bayes rule, one achieves the minimum possible probability of error. ...ture_3_-_Bayes_classification_OldKiwi|Lecture 3 introducing Bayes decision rule]]
  2 KB (222 words) - 09:25, 15 April 2010
• FavoritedecisionECE662S10
  ...osing the class with the higher prior. [[EE662Sp10OptimalPrediction|Bayes rule is optimal]]. - jvaught
  6 KB (884 words) - 16:26, 9 May 2010
• Lecture8ECE662S10
  ...orem. We then discussed the probability of error when using Bayes decision rule. More precisely, we obtained the Chernoff Bound and the Bhattacharrya bound
  628 B (86 words) - 09:09, 11 May 2010
• Noteslecture8ECE662S10
  Error bounds for Bayes decision rule: As we know Bayes decision rule guarantees the lowest average error rate; It Does not tell what the probabi
  5 KB (806 words) - 09:08, 11 May 2010
• Presentation Use of MATLAB in classroom
  *[[Homework_1_OldKiwi|Experimenting with Bayes rule]] (from [[ECE662]])
  2 KB (286 words) - 05:45, 29 December 2010
• Decision Theory Glossary ECE662Spring2008
  == [[Bayes Decision Rule_Old Kiwi|Bayes Decision Rule]] == Bayes' decision rule creates an objective function which minimizes the probability of error (mis
  31 KB (4,787 words) - 18:21, 22 October 2010
• SA1050
  *[[Bayes_Rate_Fallacy:_Bayes_Rules_under_Severe_Class_Imbalance|Bayes rule under severe class imbalance]]
  1 KB (164 words) - 06:47, 18 November 2010