Revision as of 10:18, 19 January 2012

Lecture 4 Blog, ECE662 Spring 2012, Prof. Boutin

Thursday January 19, 2012 (Week 2)

We had a good attendance today, considering the treacherous road conditions. Good thing it is, because we covered the most basic principle of statistical decision theory today, namely Bayes decision rule. We first presented the rule for discrete-valued feature vectors, and illustrated it using the previously discussed example of determining a person's gender from his/her hair length. We finished the lecture by generalizing to the case of continuous-valued feature vectors.

Relevant Rhea Pages

• A student's notes for Lecture 3 from ECE662 Spring 2008 (introducing Bayes Rule)
• A student's notes for Lecture 3 from ECE662 Spring 2008 (discussing Bayes rule for continuous-valued feature vectors)

Previous: Lecture 3

Next: Lecture 5

Comments

Please write your comments and questions below.

• Write a comment here
• Write another comment here.

Back to ECE662 Spring 2012