(The ChangeLog)
(The ChangeLog)
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* 2008/04/03 -- Linked two tutorials of decision tree and the lecture and example of Fisher linear discriminant to [[Glossary_OldKiwi]]  
 
* 2008/04/03 -- Linked two tutorials of decision tree and the lecture and example of Fisher linear discriminant to [[Glossary_OldKiwi]]  
 
* 2008/04/07 -- Linked the advantages and disadvantages of non-parametric techniques, a useful lecture of KNN, and the comparison Parzen study websites in [[Lecture 16 - Parzen Window Method and K-nearest Neighbor Density Estimate_OldKiwi]]
 
* 2008/04/07 -- Linked the advantages and disadvantages of non-parametric techniques, a useful lecture of KNN, and the comparison Parzen study websites in [[Lecture 16 - Parzen Window Method and K-nearest Neighbor Density Estimate_OldKiwi]]
* 2008/04/07 -- Added non-parametric techniques [[Course Topics_OldKiwi]][[kNN Algorithm_OldKiwi]]  
+
* 2008/04/07 -- Added non-parametric techniques [[Course Topics_OldKiwi]] [[KNN Algorithm_OldKiwi]]  
  
 
[[User:han1|Kihwan Han]]
 
[[User:han1|Kihwan Han]]

Revision as of 22:35, 7 April 2008

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Bunyamin Sisman

The ChangeLog

KyoHyouk Kim

  • 2008/04/07 -- Add links for clustering techniques
  • 2008/04/07 -- Add figure of impurity function on Lecture 21

Abhishek Arora

Bunyamin Sisman

  • 2008/04/06 -- Added some explanations and a figure to lecture 22 for clustering.
  • 2008/04/06 -- Introduced different kinds of clustering algorithms and a simple example with a figure for image segmentation and compression using k-means algorithm in lecture 22.

Dalton Lunga

  • 2008/04/01 -- Added the topic: Graphical models_OldKiwi and gave a description of how these models link to decision trees.

Elvin Bernard

Fengqing Zhu

Gaurav Srivastava

Hector Santos

Jinha Jung

Jinyoung Kim

Johannes Cilliers

Josiah Yoder

  • 2008/04/07 -- Added a page on Naive Bayes_OldKiwi Classification, including Matlab source for the figures.
  • 2008/04/07, 3:01 pm -- Added a page instructing how to insert example Matlab_OldKiwi code. Check it out everyone, it's easy!

Jungtag Gong

Kihwan Han

Landis Huffman

Leonardo Bachega

Madhur Gupta

Marc Bosch

Patrick Clough

Rahul Srinivasa Raghavan

  • 2008/04/06 -- Ported over all PDF's, pertaining to 1st Exam_OldKiwi of EC301, from old kiwi to new kiwi.
  • 2008/04/06 -- Ported over contents, and added some materials pertaining to 2nd Exam, from old kiwi to new kiwi, for EC301.

Saranya Raghavan

  • 2008/04/06 -- Added link to commercial and free software for Classification using Decision Trees (Tools_OldKiwi).
  • 2008/04/06 -- Added Publication #18 (A Scalable Decision Tree Algorithm) to Publications_OldKiwi, and provided an abstract.

Seong Jun Park

  • 2008/04/04 -- Moved several images about Neural Network from old kiwi website to the lecture 13.
  • 2008/04/06 -- Added lecture notes about image segmentation.
  • 2008/04/07 -- Added figures about a sample tree and entropy impurity example in Lecture 22.

Shuowen Hu

  • 2008/04/06 -- Added Figure 5 in Lecture 22 illustrating clustering, specifically hierarchial clustering with human pictures
  • 2008/04/06 -- Added figure labels for all pictures in Lecture 22

Singanallur V Venkatakrishnan

Stephen Rudolph

Thanh Huy Ha

  • 2008/04/07 -- Created the page Editing technique_OldKiwi, a very useful technique which helps us to reduce memory and computation expenses in K-nearest neighbor method.

Thomas Chen

  • 2008/04/02 -- Edited Lecture 21 - added comment on CART Methodology
  • 2008/04/02 -- Edited Lecture 21 - created image ECE662_lect21_stopping.jpg and comments about it at the bottom of the page

Tzu-Cheng Chuang

Yamini Nimmagadda

Mandoye Ndoye

Yun-ting Su

  • 2008/04/06 -- Created Figure 6 in Lecture 22 to illustrate an example of clustering with image segmentation.
  • 2008/04/06 -- Wrote lecture note about image segmentation to describe Figure 6 in Lecture 22

Alumni Liaison

Correspondence Chess Grandmaster and Purdue Alumni

Prof. Dan Fleetwood