Search results for "Bayes' Classifier" - Rhea

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• ECE662 topic2 discussions
  ...source for more formal definition and Proof of the optimality of the Bayes classifier=
  535 B (72 words) - 10:09, 1 March 2010
• ECE662 hw1 discussions
  Here is a link to a lab on Bayes Classifier that you might find helpful. Please use it as a reference. Here is a link for a theoretical and practical assignment on Bayes Classifier.
  4 KB (596 words) - 13:17, 12 November 2010
• Bayes Rate Fallacy: Bayes Rules under Severe Class Imbalance
  ...n the information gathered. Here also lies an important limitation of this classifier, as relies heavily on the probability values associated to each class. In m ...these occurances, one might be tempted to increase the sensitivity of the classifier which would (unfortunately) also increase the number of false positive case
  5 KB (694 words) - 12:41, 2 February 2012
• FavoritedecisionECE662S10
  *I prefer the k-nearest neighbor (k-NN) classifier because it is intuitive and easy to explain. There is the tradeoff between
  6 KB (884 words) - 16:26, 9 May 2010
• Decision Theory Glossary ECE662Spring2008
  A decision tree is a classifier that maps from the observation about an item to the conclusion about its ta
  31 KB (4,787 words) - 18:21, 22 October 2010
• SA1050
  ...amples_ece662_Sp2010|A jump start on using Simulink to develop a ANN-based classifier]]
  1 KB (164 words) - 06:47, 18 November 2010
• Machine learning tutorials
  ...amples_ece662_Sp2010|A jump start on using Simulink to develop a ANN-based classifier]]
  1 KB (156 words) - 12:26, 27 March 2015
• Lecture 3 - Bayes classification OldKiwi
  ...decided by the label of its nearest neighbor. It may not be clear how this classifier can be defined by hypersurface. But we can define separating hypersurfaces To find building blocks "g" or hypersurfaces of a classifier there are two approaches:
  6 KB (874 words) - 11:17, 10 June 2013
• Lecture 4 - Bayes Classification OldKiwi
  Consider the classifier c(x), a rule that gives a class <math>w_i ,i=1..k</math> for every feature
  8 KB (1,403 words) - 11:17, 10 June 2013
• Lecture 6 - Discriminant Functions OldKiwi
  A classifier that uses a linear discriminant function is called "linear machine".
  10 KB (1,604 words) - 11:17, 10 June 2013
• Lecture 11 - Fischer's Linear Discriminant again OldKiwi
  2) Linear Classifier - separates classes in n dimensional real space via hyperplane.
  6 KB (946 words) - 11:18, 10 June 2013
• Hw3 ECE662 S12
  ...features. We are looking for the student who will design the most accurate classifier using this data. ...ng with any method of your choice, to design what you think is an accurate classifier.
  25 KB (2,524 words) - 07:19, 25 June 2012
• Hw3 discussion ECE662 S12
  ...er prediction for this data, SVM, Bayes, KNN .. ? How much should I fit my classifier with the training data? Hopefully we can solve this questions by the end of
  1 KB (219 words) - 11:33, 20 April 2012
• Introduction To Pattern Recognition and Classification
  The post-processor uses the output of the classifier to decide on the recommended action on the data. ...of using the data to determine the classifier is known as ''training'' the classifier.
  4 KB (691 words) - 16:46, 15 February 2013
• Bayesian Decision Theory
  ...conditional probability given the value of an extra feature to improve our classifier are very important in making decisions, and Bayes theorem combines them to
  5 KB (844 words) - 23:32, 28 February 2013
• Illustration of The Bayesian Decision Theory
  ...only works for situations where there are only two events and one feature classifier.
  3 KB (415 words) - 18:34, 22 March 2013
• From Bayes Theorem to Pattern Recognition via Bayes Rule
  [[Category:Bayes' Classifier]] ==Bayes' Classifier==
  14 KB (2,241 words) - 10:42, 22 January 2015
• PCA
  ...tain patterns from data which could potentially lead to a better design of classifier. PCA could help us in this case, to find the significant patterns.&nbsp; ...es'_Theorem]] [[Category:Probability]] [[Category:Bayes'_Rule]] [[Category:Bayes'_Classifier]] [[Category:Slecture]] [[Category:ECE662Spring2014Boutin]] [[Ca
  22 KB (3,459 words) - 10:40, 22 January 2015
• Slecture Bayes rule to minimize risk Andy Park ECE662 Spring 2014
  ==Part 1: Introduction - Revisit Bayes Rule/Classifier ==
  2 KB (226 words) - 10:45, 22 January 2015
• Bayes Rule Minimize Risk Dennis Lee
  When <math> \Sigma_1 = \Sigma_2 </math>, the Bayes classifier becomes a
  12 KB (1,810 words) - 10:46, 22 January 2015