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| + | So... where do we turn this thing in? Do we upload it to Mimi's dropbox? Anybody know? Thanks! | ||
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| + | [[User:Pritchey|Pritchey]] 15:33, 26 February 2010 (UTC) | ||
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[[ 2010 Spring ECE 662 mboutin|Back to 2010 Spring ECE 662 mboutin]] | [[ 2010 Spring ECE 662 mboutin|Back to 2010 Spring ECE 662 mboutin]] | ||
Revision as of 11:33, 26 February 2010
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)
