(TODO)
m (TODO: Typo fix.)
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* [[Naive Bayes_OldKiwi]]-- What it is and why everyone should know about it.
 
* [[Naive Bayes_OldKiwi]]-- What it is and why everyone should know about it.
 
* [[Philosophies of Machine Learning_OldKiwi]] -- A long article
 
* [[Philosophies of Machine Learning_OldKiwi]] -- A long article
* [[Lower bound on performance of Bayes Classification_OldKiwi]] is <math>\frac{1}{2}</math> when the number of classes is 1
+
* [[Lower bound on performance of Bayes Classification_OldKiwi]] is <math>\frac{1}{2}</math> when the number of classes is 2
 
* [[Ideal performance of Bayes Classification_OldKiwi]] when the two classes are Gaussian with the same variance and prior probability can be computed exactly, even when there is correlation between the dimensions
 
* [[Ideal performance of Bayes Classification_OldKiwi]] when the two classes are Gaussian with the same variance and prior probability can be computed exactly, even when there is correlation between the dimensions
 
* [[Amount of training data needed_OldKiwi]] as a function of dimensions, covariance, etc.
 
* [[Amount of training data needed_OldKiwi]] as a function of dimensions, covariance, etc.

Revision as of 07:46, 17 April 2008

Hi! I'm Josiah Yoder, and I'm a big fan of Kiwis... and wikis.

My webpage is little out of date, but you can visit it anyway!

TODO

There are several articles I would like to write on the Kiwi when I get the time. If you would like to write them instead, please go for it, and let me know!

Administrative stuff to do:

  • Copying stuff over from the old kiwi!
  • Create a Lecture Template_OldKiwi like someone has done manually at the bottom of every page.

Alumni Liaison

Correspondence Chess Grandmaster and Purdue Alumni

Prof. Dan Fleetwood