Lectures:
SVM
chap5_alternative_classification.pdf SVM Kernel SVM Summary
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
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:
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