Lectures:

     SVM

chap5_alternative_classification.pdf    SVM Kernel  SVM Summary

Tan Table

To visualize various kernels for SVMs (note it takes time to initialize)

http://www.eee.metu.edu.tr/~alatan/Courses/Demo/AppletSVM.html

 Reference Material: for the mathematical details of SVM

 http://patriciahoffmanphd.com/resources/papers/SVM/SupportVectorJune3.pdf

R-package that includes SVM

e1071.pdf

EnsembleTechniques

EnsembleMethods.pdf     ClassImbalanceMulticlass.pdf    chap5.pdf   

Giovanni Seni - Ensemble Methods   Ethem Alpaydin - Combining Multiple Learners  Rajan Patel

Helpful Book on Ensemble Methods -

Seni, Giovanni and Elder, John, Ensemble Methods in Data Mining, Morgan & Claypool, 2010

Here's an amazon link to the book:

http://www.amazon.com/Ensemble-Methods-Data-Mining-Predictions/dp/1608452840/ref=sr_1_1?ie=UTF8&s=books&qid=1287690908&sr=8-1

Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions (Synthesis Lectures on Data Mining and Knowledge Discovery)

Reference Material: Papers

Examples:

Support Vector Machine: svm1.R  , svmExamp.R

Boosted Trees:  AdaBoostRandomForestSonar.R

Examples:

Random Forest on Sonar Data:  AdaBoostRandomForestSonar.R   

Brimean Bagging Algorithm       Bagging.R  (coded by Abhishek Dubey)

Create a ROC curve from Example in Text  ROC.R    

ROC for the Sonar Data   ROCSonar.R

Multiclass Example (Iris Data)  IrisDataMulticlass.R

Homework:   Homework 05

Data Files:

The Wine Data Set and the Iris Data Set are on UC Irvine's database web site

Sonar Data Sets:  sonar_test.csv   sonar_train.csv irisdata.csv