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[[User:wlunga|Dalton Lunga]] | [[User:wlunga|Dalton Lunga]] | ||
* 2008/04/01 -- Added the topic: [[Graphical models_Old Kiwi]] and gave a description of how these models link to decision trees. | * 2008/04/01 -- Added the topic: [[Graphical models_Old Kiwi]] and gave a description of how these models link to decision trees. | ||
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+ | [[User:gsrivast|Gaurav Srivastava]] | ||
+ | * 2008/04/02 -- Edited [[Lecture 21 - Decision Trees(Continued)_Old Kiwi]]. 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_Old Kiwi]] | * 2008/04/03 -- Added figure examples for hierarchical and partition clusters in [[Lecture 22 - Decision Trees and Clustering_Old Kiwi]] | ||
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+ | [[User:jinha|Jinha Jung]] | ||
+ | * 2008/04/03 -- Create a new page on [[Convert LIBSVM to FANN python_Old Kiwi]] | ||
+ | * 2008/04/03 -- Add link on [[Tools_Old Kiwi]] | ||
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+ | [[User:jinyoung|Jinyoung Kim]] | ||
+ | * 2008/04/05 -- Create one example of the applicaiton of K-NN to estimatimation of time series [[Course Topics_Old Kiwi]] [[kNN Algorithm_Old Kiwi]] [[Discussion_Old Kiwi]] | ||
+ | * 2008/04/05 -- Describe advantage and disadvantage of K-NN algorithm [[Course Topics_Old Kiwi]] [[kNN Algorithm_Old Kiwi]] [[Discussion_Old Kiwi]] | ||
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+ | [[User:gong1|Jungtag Gong]] | ||
+ | * 2008/04/03 -- Linked two tutorials of decision tree and the lecture and example of Fisher linear discriminant to [[Glossary_Old Kiwi]] | ||
[[User:huffmalm|Landis Huffman]] | [[User:huffmalm|Landis Huffman]] | ||
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* 2008/04/06 -- Created in the [[Clustering_Old Kiwi]] section in course topics the page for [[Hierarchical clustering_Old Kiwi]]. | * 2008/04/06 -- Created in the [[Clustering_Old Kiwi]] section in course topics the page for [[Hierarchical clustering_Old Kiwi]]. | ||
* 2008/04/03 -- Created in the [[Clustering_Old Kiwi]] section in course topics the page for [[Mixture of Gaussians_Old Kiwi]]. | * 2008/04/03 -- Created in the [[Clustering_Old Kiwi]] section in course topics the page for [[Mixture of Gaussians_Old Kiwi]]. | ||
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[[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
- 2007/10/02 -- Created a new page on Kernels_Old Kiwi.
- 2007/10/03 -- Edited Lecture 3 - Bayes classification_Old Kiwi by adding the section on Bayes rule equation <3,4,5> and figures <1,2,3>.
The ChangeLog
- 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.
- 2008/04/01 -- Added the topic: Graphical models_Old Kiwi and gave a description of how these models link to decision trees.
- 2008/04/02 -- Edited Lecture 21 - Decision Trees(Continued)_Old Kiwi. Added the description of answering the three crucial questions and added two figures Node.jpg[1] and Balance.jpg[2].
- 2008/04/03 -- Added figure examples for hierarchical and partition clusters in Lecture 22 - Decision Trees and Clustering_Old Kiwi
- 2008/04/03 -- Create a new page on Convert LIBSVM to FANN python_Old Kiwi
- 2008/04/03 -- Add link on Tools_Old Kiwi
- 2008/04/05 -- Create one example of the applicaiton of K-NN to estimatimation of time series Course Topics_Old Kiwi kNN Algorithm_Old Kiwi Discussion_Old Kiwi
- 2008/04/05 -- Describe advantage and disadvantage of K-NN algorithm Course Topics_Old Kiwi kNN Algorithm_Old Kiwi Discussion_Old Kiwi
- 2008/04/03 -- Linked two tutorials of decision tree and the lecture and example of Fisher linear discriminant to Glossary_Old Kiwi
- 2008/04/03 -- Added a link to a good SVM resource on the Homework 2_Old Kiwi page. Also copied all SVM resources listed on the Homework 2_Old Kiwi page to the Support Vector Machines_Old Kiwi page.
- 2008/04/03 -- Directed some links on the Glossary_Old Kiwi page to the appropriate pages.
- 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.
- 2008/04/06 -- Created in the Clustering_Old Kiwi section in course topics the page for Hierarchical clustering_Old Kiwi.
- 2008/04/03 -- Created in the Clustering_Old Kiwi section in course topics the page for Mixture of Gaussians_Old Kiwi.
- 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.
- 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.
- 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.
- 2008/04/06 -- 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
- 2008/05/05 -- Moved the page and converted all formulas Geometric Series Note_Old Kiwi
- 2008/05/06 -- Moved and converted ALL equations from Homework Problem 5.31_Old Kiwi
- 2008/04/06 -- Created a category for lecture notes and added all lectures to that category.
- 2008/04/06 -- Created a category for articles that need cleanup and added a lecture to it.
- 2008/04/06 -- Created a category page for optimization.
- 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
- 2008/04/03 -- Created the page for Lecture 22 - Decision Trees and Clustering_Old Kiwi. Added the note from the beginning to What is clustering
- 2008/04/01 -- Created the figure of a decision tree example in Lecture 21 - Decision Trees(Continued)_Old Kiwi.
- 2008/04/01 -- Defined and added different impurity types and latex equations in Lecture 21 - Decision Trees(Continued)_Old Kiwi.
- 2008/04/01 -- Added the definitions of pruning_Old Kiwi and impurity_Old Kiwi to Glossary_Old Kiwi
- 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