Machine Learning Open Source Software
To support the open source software movement, JMLR MLOSS publishes contributions related to implementations of non-trivial machine learning algorithms, toolboxes or even languages for scientific computing. Submission instructions are available
here.
- A Library for Locally Weighted Projection Regression
- Stefan Klanke, Sethu Vijayakumar, Stefan Schaal; 9(Apr):623--626, 2008.
[abs][pdf] [code][mloss.org]
- Shark
- Christian Igel, Verena Heidrich-Meisner, Tobias Glasmachers; 9(Jun):993--996, 2008.
[abs][pdf] [code][mloss.org]
- LIBLINEAR: A Library for Large Linear Classification
- Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, Chih-Jen Lin; 9(Aug):1871--1874, 2008.
[abs][pdf] [code][mloss.org]
