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

 Baozeng Ding
	 - Support for modular java, c#, ruby, lua interfaces

 Shashwat Lal Das
	- Streaming / Online Feature Framework for SimpleFeatures, SparseFeatures,
	  StringFeatures, SGD-QN, Online SGD, Online Liblinear, Online Vowpal Vabit

 Heiko Strathmann
	- Model selection/Cross-validation for arbitrary Machines
	- Statistics module
	- Subset support in features
	- Various bugfixes and structural improvements
	- Serialization improvements and fixes/ Migration framework
	- Machine Locking for precomputed kernel matrices
	- Statistical hypothesis testing framework / Kernel Two-Sample/Independence tests

 Alesis Novik
	- Gaussian Mixture Models

 Evgeniy Andreev:
	- FibonacciHeap
	- Python 3 support
	- CoverTree
	- HashSet

 Justin Patera
	- Ruby examples

 Daniel Korn
	- C# examples

 Fernando José Iglesias Garcia
	- Generic multiclass OvO training
	- Quadratic Discriminant Analysis

 J. Liu, S. Ji and J. Ye
	- SLEP: A Sparse Learning Package C and ported code

 J. Zhou, J. Chen and J. Ye
	- MALSAR: Multi-tAsk Learning via StructurAL Regularization ported code
