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***[[Convergence of the Maximum Likelihood Estimator over Multiple Trials|Video slecture in English]] by [http://web.ics.purdue.edu/~scarver/ Spencer Carver] <span style="color:GREEN">OK</span>
 
***[[Convergence of the Maximum Likelihood Estimator over Multiple Trials|Video slecture in English]] by [http://web.ics.purdue.edu/~scarver/ Spencer Carver] <span style="color:GREEN">OK</span>
 
***[[Maximum Likelihood Estimators and Examples|Text slecture in English]] by Lu Zhang <span style="color:GREEN">OK</span>  
 
***[[Maximum Likelihood Estimators and Examples|Text slecture in English]] by Lu Zhang <span style="color:GREEN">OK</span>  
***[[SlectureKeehwanECE662Spring14|Video slecture in English]] by Keehwan Park  
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***[[SlectureKeehwanECE662Spring14|Video slecture in English]] by Keehwan Park <span style="color:GREEN">OK</span>
 
***[https://kiwi.ecn.purdue.edu/rhea/index.php/MLEforGMM Text slecture in English]&nbsp;by Wen Yi  
 
***[https://kiwi.ecn.purdue.edu/rhea/index.php/MLEforGMM Text slecture in English]&nbsp;by Wen Yi  
 
***[https://kiwi.ecn.purdue.edu/rhea/index.php/ECE662Selecture_zhenpengMLE Text slecture in English]&nbsp;by Zhenpeng Zhao  
 
***[https://kiwi.ecn.purdue.edu/rhea/index.php/ECE662Selecture_zhenpengMLE Text slecture in English]&nbsp;by Zhenpeng Zhao  

Revision as of 05:29, 5 May 2014



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


                Welcome to ECE662!

PLEASE FILL OUT THE COURSE EVALUATION AT WWW.PURDUE.EDU/EVAL

YOUR FEEDBACK IS TRULY APPRECIATED. THANKS FOR YOUR TIME. -PROF MIMI


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.


Back to main ECE662 page

Alumni Liaison

Correspondence Chess Grandmaster and Purdue Alumni

Prof. Dan Fleetwood