(New page: Category:ECE662Spring2012Boutin Category:blog =Lecture 5 Blog, ECE662 Spring 2012, Prof. Boutin= Tuesday January 24, 2012 (Week 3) ---- Today we covered a sl...) |
|||
Line 4: | Line 4: | ||
=Lecture 5 Blog, [[ECE662]] Spring 2012, [[user:mboutin|Prof. Boutin]]= | =Lecture 5 Blog, [[ECE662]] Spring 2012, [[user:mboutin|Prof. Boutin]]= | ||
Tuesday January 24, 2012 (Week 3) | Tuesday January 24, 2012 (Week 3) | ||
+ | ---- | ||
+ | Quick link to lecture blogs: [[Lecture1ECE662S12|1]]|[[Lecture2ECE662S12|2]]|[[Lecture3ECE662S12|3]]|[[Lecture4ECE662S12|4]]|[[Lecture5ECE662S12|5]]|[[Lecture6ECE662S12|6]]|[[Lecture7ECE662S12|7]]|[[Lecture8ECE662S12|8]]| [[Lecture9ECE662S12|9]]|[[Lecture10ECE662S12|10]]|[[Lecture11ECE662S12|11]]|[[Lecture12ECE662S12|12]]|[[Lecture13ECE662S12|13]]|[[Lecture14ECE662S12|14]]|[[Lecture15ECE662S12|15]]|[[Lecture16ECE662S12|16]]|[[Lecture17ECE662S12|17]]|[[Lecture18ECE662S12|18]]|[[Lecture19ECE662S12|19]]|[[Lecture20ECE662S12|20]]|[[Lecture21ECE662S12|21]]|[[Lecture22ECE662S12|22]]|[[Lecture23ECE662S12|23]]|[[Lecture24ECE662S12|24]]|[[Lecture25ECE662S12|25]]|[[Lecture26ECE662S12|26]]|[[Lecture27ECE662S12|27]]|[[Lecture28ECE662S12|28]]|[[Lecture29ECE662S12|29]]|[[Lecture30ECE662S12|30]] | ||
---- | ---- | ||
Today we covered a slightly more general version of Bayes rule, namely Bayes rule for minimizing the risk (i.e., the expected loss). We also covered the discriminant functions that could be used to implement such a rule. | Today we covered a slightly more general version of Bayes rule, namely Bayes rule for minimizing the risk (i.e., the expected loss). We also covered the discriminant functions that could be used to implement such a rule. |
Latest revision as of 12:30, 23 February 2012
Lecture 5 Blog, ECE662 Spring 2012, Prof. Boutin
Tuesday January 24, 2012 (Week 3)
Quick link to lecture blogs: 1|2|3|4|5|6|7|8| 9|10|11|12|13|14|15|16|17|18|19|20|21|22|23|24|25|26|27|28|29|30
Today we covered a slightly more general version of Bayes rule, namely Bayes rule for minimizing the risk (i.e., the expected loss). We also covered the discriminant functions that could be used to implement such a rule.
Previous: Lecture 4
Next: Lecture 6
Comments
Please write your comments and questions below.
- Write a comment here
- Write another comment here.