Revision as of 16:23, 10 April 2008 by Mboschru (Talk)

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

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

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

Jungtag Gong


KaKi Ng

Kihwan Han

Landis Huffman

Leonardo Bachega

Madhur Gupta

  • 2008/04/01 -- Created the page for Lecture 21 - Decision Trees(Continued)_Old Kiwi. Added the example of fruits, and Three crucial questions to answer.
  • 2008/04/03 -- Added to Lecture 22 - Decision Trees and Clustering_Old Kiwi the section named "Clustering as a useful technique for searching in databases". This includes the example of Dewey system with figure, and the example of face recognition without figure.
  • 2008/04/08 -- Added the first set of notes to Lecture 23 - Spanning Trees_Old Kiwi, namely the section "Clustering Method, given the pairwise distances", with the text, a distance table, a figure showing the ideal clustering situation, and a figure presenting the case when the algorithm won't work well.

Marc Bosch

Patrick Clough

Rahul Srinivasa Raghavan

  • 2008/04/06 -- Ported over all PDF's, pertaining to 1st Exam_Old Kiwi 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_Old Kiwi).
  • 2008/04/06 -- Added Publication #18 (A Scalable Decision Tree Algorithm) to Publications_Old Kiwi, 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.
  • 2008/04/10 -- Added lecture and figures of spanning tree example in Lecture 23.
  • 2008/04/10 -- Linked the several glossaries used in the graph theory.

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_Old Kiwi, 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
  • 2008/04/08 -- Edited Lecture 23 - Created animated image ECE662_lect23.gif and created example in lecture notes
  • 2008/04/10 -- Edited Lecture 24 - Added notes from agglomerate algorithms for hierarchical clustering

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

Followed her dream after having raised her family.

Ruth Enoch, PhD Mathematics