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**[[Neyman-Pearson Lemma and Receiver Operating Characteristic Curve|Text slecture in English]] by [https://engineering.purdue.edu/~lee714/ Soonam Lee]  
 
**[[Neyman-Pearson Lemma and Receiver Operating Characteristic Curve|Text slecture in English]] by [https://engineering.purdue.edu/~lee714/ Soonam Lee]  
 
**[[ROC curve analysis slecture ECE662 Spring0214 Sun|Video slecture in English]] by Jianxin Sun  
 
**[[ROC curve analysis slecture ECE662 Spring0214 Sun|Video slecture in English]] by Jianxin Sun  
** [[ECE662_roc|Text slecture in English]] by Hao Lin]
+
**[[ECE662 roc|Text slecture in English]] by Hao Lin  
 
*Slectures on Density Estimation  
 
*Slectures on Density Estimation  
 
**Maximum Likelihood Estimation (MLE)  
 
**Maximum Likelihood Estimation (MLE)  

Revision as of 09:46, 30 April 2014



ECE662: Statistical Pattern Recognition and Decision Making Processes, Spring 2014 (cross-listed with CS662)


                Welcome to ECE662!

  • HW2 grades have been entered into the "instructor's Comment" box.
  • Reviews for HW2 are activated. Please complete your review before class on Tuesday April 29.
  • Does anybody in the class speak Spanish (besides Francis)? If so, please send me an email. -pm
  • Does anybody in the class speak Russian (besides Aziza)? If so, please send me an email. -pm

Course Information

Instructor:

Office: MSEE342
Office hours
Assignment Drop Box

Lecture:

  • When? TuTh, 10:30 - 11:45
  • Where? EE117 (subject to change)

Slectures

Please use this template for text slectures or this template for video slectures


Peer Reviews


Discussion

Feel free to use the space below for discussion, or create a page for discussion and link it below.


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Basic linear algebra uncovers and clarifies very important geometry and algebra.

Dr. Paul Garrett