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==Student Solutions ==
 
==Student Solutions ==
 
Please feel free to post your solution below.
 
Please feel free to post your solution below.
[[Media:reportHW3662Hippo.pdf|Student report]]
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*[[Media:reportHW3662Hippo.pdf|Student report]]
  
 
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Latest revision as of 14:16, 10 May 2010

HW3, ECE662 Spring 2010

Due by 5pm, Thursday April 29, 2010, in Prof. Mimi's Rhea dropbox.

Experiment with making decisions using Bayes rule and non-parametric density estimation. Summarize your experiments, results, and conclusions in a report (pdf). Make sure to include your code.

Suggestions:

  • Compare the accuracy of the 3 different techniques we learned (k-nearest neighbors, parzen windows, nearest neighbor).
  • Discuss how the choice of K, or the parzen window size, affects your results.
  • Discuss how the number of training samples influences the results.

The discussion page for this homework is here.

Student Solutions

Please feel free to post your solution below.


Back to 2010 Spring ECE 662 mboutin

Alumni Liaison

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva