Revision as of 10:33, 26 February 2010 by Pritchey (Talk | contribs)


ECE662 hw1 related discussions

Here is a link to a lab on Bayes Classifier that you might find helpful. Please use it as a reference.

Enjoy, Raj..

Here is a link for a theoretical and practical assignment on Bayes Classifier.

--Ralazrai 21:55, 17 February 2010 (UTC)

Generating correlated multi-variate normal (MVN) data: I don't know if anyone else ran into this issue, but FreeMat doesn't know how to generate MVN random samples. The solution is to generate independent standard normal data points and perform a linear transformation. Refer to the link below for details:

To make matters worse, FreeMat cannot perform Cholesky decomposition. Two ways to get the desired results:

  • Instead of starting with the covariance matrix and taking the square root, start with the upper triangular matrix A and take A'A as the covariance. (Prof. Boutin's suggestion).
  • Perform singular value decomposition using FreeMat's "svd" command on the covariance matrix to get [u s v]. Then $ B = u \sqrt{s} v $ would serve as the square root.

The transformed data, using either A or B, should have be the desired statistics (please verify!).

-Satyam

Turn It In

So... where do we turn this thing in? Do we upload it to Mimi's dropbox? Anybody know? Thanks!

Pritchey 15:33, 26 February 2010 (UTC)


Back to 2010 Spring ECE 662 mboutin

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