Revision as of 08:11, 12 April 2010 by Mboutin (Talk | contribs)


Details of Lecture 4, ECE662 Spring 2010

In Lecture 4, we introduced two methods for finding decision hypersurfaces, namely: 1) supervised learning, and 2) unsupervised learning. We then introduced Bayes rule for making decisions. (This rule is the basis for this course.) We focused our discussion on the case where the features are discrete.


Previous: Lecture 3 Next: Lecture 5


Back to course outline

Back to 2010 Spring ECE 662 mboutin

Back to ECE662

Alumni Liaison

BSEE 2004, current Ph.D. student researching signal and image processing.

Landis Huffman