CONTRIBUTIONS

We integrated the work of the following people:

 Alex J. Smola
	- the pr_loqo optimizer

 Antoine Bordes
	- LaRank

 Thorsten Joachims 
	- SVMLight

 Chih-Chung Chang and and Chih-Jen Lin	
	- LibSVM

 Xiang-Rui Wang and Chih-Jen Lin
	- LIBLINEAR

 Thomas Serafini, Luca Zanni, Gaetano Zanghirati
	- the Gradient Projection Decomposition Technique (GPDT) - SVM

 Vikas Sindhwani
    - SVM-lin: Fast SVM Solvers for Supervised and Semi-supervised Learning

 Vojtech Franc
	- Generalized Nearest Point Problem Solver based L2 (slacks) SVM
	- Optimized Cutting Plane Support Vector Machines (Ocas)

 Jean-Philippe Vert and Hiroto Saigo
	- Local Alignment Kernel

 Leon Bottou
	- Stochastic Gradient Descent (SGD) SVM 

 Marius Kloft
	- 2-norm and q-norm MKL
	- SMO based true Multi-Class SVM

 Alexander Zien
	- Newton based q-norm MKL
	- POIM code for WD kernels

 Christian Gehl
	- Distance Metrics

 Christian Widmer
	- Dual and Multitask Learning
	- Serialization support

 Jonas Behr
	- Structured Learning

 Elpmis Lee
	- Translation of the documentation to Chinese