About
We believe that the wide-spread adoption of open source software policies will have a tremendous impact on the field of machine learning. The goal of this workshop is to further support the current developments in this area and give new impulses to it. Following the success of the inaugural NIPS-MLOSS workshop held at NIPS 2006, the Journal of Machine Learning Research (JMLR) has started a new track for machine learning open source software initiated by the workshop's organizers. Many prominent machine learning researchers have co-authored a position paper advocating the need for open source software in machine learning. Furthermore, the workshop's organizers have set up a community website mloss.org where people can register their software projects, rate existing projects and initiate discussions about projects and related topics. This website currently lists 132 such projects including many prominent projects in the area of machine learning.
The main goal of this workshop is to bring the main practitioners in the area of machine learning open source software together in order to initiate processes which will help to further improve the development of this area. In particular, we have to move beyond a mere collection of more or less unrelated software projects and provide a common foundation to stimulate cooperation and interoperability between different projects. An important step in this direction will be a common data exchange format such that different methods can exchange their results more easily.
More information about workshop - http://mloss.org/workshop/nips08/
Related categories
Uploaded videos:
Introduction and overwiew of the Machine Learning Open Source Software workshop
Dec 20, 2008
·
4103 Views
Octave
Dec 20, 2008
·
14652 Views
Torch
Dec 20, 2008
·
4765 Views
Shark
Dec 20, 2008
·
5936 Views
Kernlab
Dec 20, 2008
·
10711 Views
Machine Learning Py (mlpy)
Dec 20, 2008
·
9711 Views
MDP – Modular toolkit for Data Processing
Dec 20, 2008
·
4789 Views
What is a good mloss project
Dec 20, 2008
·
2911 Views
Matplotlib
Dec 20, 2008
·
35719 Views
Disco
Dec 20, 2008
·
4277 Views
Nieme
Dec 20, 2008
·
3293 Views
libDAI
Dec 20, 2008
·
6386 Views
BCPy2000
Dec 20, 2008
·
8057 Views
Model Monitor
Dec 20, 2008
·
3045 Views
RL Glue and Codecs Glue
Dec 20, 2008
·
6094 Views
Experiment Databases for Machine Learning / BenchMarking Via Weka
Dec 20, 2008
·
6262 Views
Reproducible research
Dec 20, 2008
·
3052 Views