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Focus is on developing easy to use algorithms with no or a minimum of parameter tuning. All algorithms come with demonstration scripts that show their use. The toolbox has been developed by the ISP
group at institute Informatics
and Mathematical Modelling at the Technical
University of Denmark. We gratefully acknowledge the support from
the Danish Research Council,
the European
Union MAPAWAMO project, and National
Institutes of Health's Human Brain Project. All code can be used freely in research and other non-profit applications. If you publish results obtained with the DTU:Toolbox we kindly ask that our and other relevant sources are properly cited. Description, citation and implementation notes for the individual algorithms, are provided with each algorithm. Questions can directed to the [toolbox supervisor]. Before using any of the material provided by the DTU:Toolbox™ the following must be read and accepted: [copyrights and conditions], and for publications cite the general toolbox [citation].
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The
DTU:Toolbox™ is a collection of machine learning algorithms implemented
mainly for Matlab™. Currently it holds:
To
receive updates and news about the toolbox please subscribe to DTU:Toolbox
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