(2 intermediate revisions by the same user not shown) | |||
Line 12: | Line 12: | ||
==Relevant Rhea Pages== | ==Relevant Rhea Pages== | ||
− | *[[Lecture_14_-_ANNs%2C_Non-parametric_Density_Estimation_(Parzen_Window) | + | *[[Lecture_14_-_ANNs%2C_Non-parametric_Density_Estimation_(Parzen_Window)_OldKiwi|Lecture 14, ECE662 Spring 2008]] |
− | *[[Lecture_15_- | + | *[[Lecture_15_-_Parzen_Window_Method_OldKiwi|Lecture 15, ECE662 Spring 2008]] |
− | + | ||
Previous: [[Lecture16ECE662S12|Lecture 16]] | Previous: [[Lecture16ECE662S12|Lecture 16]] |
Latest revision as of 12:56, 8 March 2012
Lecture 17 Blog, ECE662 Spring 2012, Prof. Boutin
Tuesday March 6, 2012 (Week 9)
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 discussed the Parzen window method for estimating the probability density function at a point x of the feature space using samples drawn.
Relevant Rhea Pages
Previous: Lecture 16
Next: Lecture 18
Comments
Please write your comments and questions below.
- Write a comment here
- Write another comment here.