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

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