(New page: Category:slecture Category:ECE662Spring2014Boutin Category:ECE Category:ECE662 Category:pattern recognition <center><font size= 4> ROC curve and Neyman Pearsom Crit...) |
Anonymous7 (Talk | contribs) |
||
Line 25: | Line 25: | ||
---- | ---- | ||
---- | ---- | ||
− | ==[[ | + | ==[[Generation_of_N-dimensional_normally_distributed_random_numbers_from_two_categories_with_different_priors_review|Questions and comments]]== |
− | If you have any questions, comments, etc. please post them on [[ | + | If you have any questions, comments, etc. please post them on [[Generation_of_N-dimensional_normally_distributed_random_numbers_from_two_categories_with_different_priors_review|this page]]. |
---- | ---- | ||
[[2014_Spring_ECE_662_Boutin|Back to ECE662, Spring 2014]] | [[2014_Spring_ECE_662_Boutin|Back to ECE662, Spring 2014]] |
Revision as of 14:19, 30 April 2014
ROC curve and Neyman Pearsom Criterion
Partly based on the ECE662 Spring 2014 lecture material of Prof. Mireille Boutin.
Post your slecture material here. Guidelines:
- If you are making a text slecture
- Type text using wikitext markup languages
- Type all equations using latex code between <math> </math> tags.
- You may include links to other Project Rhea pages.
Questions and comments
If you have any questions, comments, etc. please post them on this page.