Technology

http://rapid-i.com/content/blogcategory/10/69/
RapidMiner (formerly YALE) is the most comprehensive open-source software for intelligent data analysis, data mining, knowledge discovery, machine learning, etc. It has implemented following machine learning algorithms for regression, classification and clustering tasks:

   Support Vector Machines (SVM, LibSVM, SMO, mySVM ...) 
   Decision Tree and Rule Learners (ID3, C4.5, PART, PRISM, RIPPER ...) 
   Lazy Learners (Nearest Neighbors, K*, LBR ...) 
   Bayesian Learners (Naive Bayes, Bayes Net, AODE ...) 
   Logistic Learners (Logistic Regression, SimpleLogistic ...) 
   Gaussian Processes 
   Meta Learning (AdaBoost, Bagging, Stacking, BayesianBoosting ...)
   Association Rule Mining (Apriori, Tertius ...) 
   Clustering (Clustering Plugin: k-Means, k-Medoids, DBscan, Clustering ...) 
  

http://www.cs.waikato.ac.nz/ml/weka/
Weka 3: Data Mining Software in Java is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.

http://www.yom-tov.info/toolbox.html
Classification Toolbox - This is a Matlab toolbox for classification. It is distributed with the book “Computer Manual in MATLAB to Accompany Pattern Classification”.

http://www.bsl.ece.vt.edu/ReproducibleResearch/ColonRegistration07/index.html
Reproducible research (RR) page for the recent submission to TMI.