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[[User:wlunga|Dalton Lunga]]
 
[[User:wlunga|Dalton Lunga]]
 
* 2008/04/01 -- Added the topic: [[Graphical models_OldKiwi]] and gave a description of how these models link to decision trees.
 
* 2008/04/01 -- Added the topic: [[Graphical models_OldKiwi]] and gave a description of how these models link to decision trees.
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[[User:gsrivast|Gaurav Srivastava]]
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* 2008/04/02 -- Edited [[Lecture 21 - Decision Trees(Continued)_OldKiwi]]. Added the description of answering the three crucial questions and added two figures Node.jpg[http://balthier.ecn.purdue.edu/index.php/Image:Node.jpg] and Balance.jpg[http://balthier.ecn.purdue.edu/index.php/Image:Balance.jpg].
  
 
[[User:hsantosv|Hector Santos]]
 
[[User:hsantosv|Hector Santos]]
 
* 2008/04/03 -- Added figure examples for hierarchical and partition clusters in [[Lecture 22 - Decision Trees and Clustering_OldKiwi]]
 
* 2008/04/03 -- Added figure examples for hierarchical and partition clusters in [[Lecture 22 - Decision Trees and Clustering_OldKiwi]]
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[[User:jinha|Jinha Jung]]
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* 2008/04/03 -- Create a new page on [[Convert LIBSVM to FANN python_OldKiwi]]
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* 2008/04/03 -- Add link on [[Tools_OldKiwi]]
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[[User:jinyoung|Jinyoung Kim]]
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* 2008/04/05 -- Create one example of the applicaiton of K-NN to estimatimation of time series [[Course Topics_OldKiwi]]  [[kNN Algorithm_OldKiwi]] [[Discussion_OldKiwi]] 
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* 2008/04/05 -- Describe advantage and disadvantage of K-NN algorithm [[Course Topics_OldKiwi]]  [[kNN Algorithm_OldKiwi]] [[Discussion_OldKiwi]]
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[[User:gong1|Jungtag Gong]]
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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]]
  
 
[[User:huffmalm|Landis Huffman]]
 
[[User:huffmalm|Landis Huffman]]
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* 2008/04/06 -- Created in the [[Clustering_OldKiwi]] section in course topics the page for [[Hierarchical clustering_OldKiwi]].
 
* 2008/04/06 -- Created in the [[Clustering_OldKiwi]] section in course topics the page for [[Hierarchical clustering_OldKiwi]].
 
* 2008/04/03 -- Created in the [[Clustering_OldKiwi]] section in course topics the page for [[Mixture of Gaussians_OldKiwi]].
 
* 2008/04/03 -- Created in the [[Clustering_OldKiwi]] section in course topics the page for [[Mixture of Gaussians_OldKiwi]].
 
[[User:gsrivast|Gaurav Srivastava]]
 
* 2008/04/02 -- Edited [[Lecture 21 - Decision Trees(Continued)_OldKiwi]]. Added the description of answering the three crucial questions and added two figures Node.jpg[http://balthier.ecn.purdue.edu/index.php/Image:Node.jpg] and Balance.jpg[http://balthier.ecn.purdue.edu/index.php/Image:Balance.jpg].
 
 
[[User:jinha|Jinha Jung]]
 
* 2008/04/03 -- Create a new page on [[Convert LIBSVM to FANN python_OldKiwi]]
 
* 2008/04/03 -- Add link on [[Tools_OldKiwi]]
 
 
[[User:jinyoung|Jinyoung Kim]]
 
* 2008/04/05 -- Create one example of the applicaiton of K-NN to estimatimation of time series [[Course Topics_OldKiwi]]  [[kNN Algorithm_OldKiwi]] [[Discussion_OldKiwi]] 
 
* 2008/04/05 -- Describe advantage and disadvantage of K-NN algorithm [[Course Topics_OldKiwi]]  [[kNN Algorithm_OldKiwi]] [[Discussion_OldKiwi]]
 
 
[[User:gong1|Jungtag Gong]]
 
* 2008/04/03 -- Linked two tutorials of decision tree and the lecture and example of Fisher linear discriminant to [[Glossary_OldKiwi]]
 
  
 
[[User:rsriniva|Rahul Srinivasa Raghavan]]
 
[[User:rsriniva|Rahul Srinivasa Raghavan]]

Revision as of 21:23, 6 April 2008

Page Formatting

Please keep your changes logged under your name in chronological order (most recent change appended to the bottom of your list). If your name is not included yet, please include it, retaining the alphabetization of the users by name. Entries are sorted by first names alphabetically.

Also take a look at the "changes" and locate your changes when you put them up

To aid the grader, please try to be as exact as possible' in your description. Number your figures and equations and specify those in your ChangeLog entry. Also give a hyperlink to the page(s) you edited.

Example

Bunyamin Sisman

The ChangeLog

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.

Gaurav Srivastava

Hector Santos

Jinha Jung

Jinyoung Kim

Jungtag Gong

  • 2008/04/03 -- Linked two tutorials of decision tree and the lecture and example of Fisher linear discriminant to Glossary_OldKiwi

Landis Huffman

Madhur Gupta

Marc Bosch

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.

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

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

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

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

Francisco Blanco-Silva