DTU:Toolbox

Thomas Kolenda; Sigurdur Sigurdsson; Ole Winther; Lars Kai Hansen; Jan Larsen

DTU:Toolbox

Thomas Kolenda (Author), Sigurdur Sigurdsson (Author), Ole Winther (Author), Lars Kai Hansen (Author), Jan Larsen (Author)

Research output: Non-textual form › Computer programme › Research › peer-review

Abstract

The DTU:Toolbox™ is a collection of machine learning algorithms implemented mainly for Matlab™. Currently it holds: *Independent component analysis (ICA) *Artificial neural networks (ANN) 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]. See also Mole Research and Development.

Original language	English
Publication date	2002
Publication status	Published - 2002

Keywords

Independent component analysis
ICA
Neural networks
ANN

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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http://isp.imm.dtu.dk/toolbox/

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title = "DTU:Toolbox",

abstract = "The DTU:Toolbox{\texttrademark} is a collection of machine learning algorithms implemented mainly for Matlab{\texttrademark}. Currently it holds: *Independent component analysis (ICA) *Artificial neural networks (ANN) 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]. See also Mole Research and Development.",

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author = "Thomas Kolenda and Sigurdur Sigurdsson and Ole Winther and Hansen, {Lars Kai} and Jan Larsen",

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A2 - Sigurdsson, Sigurdur

A2 - Winther, Ole

A2 - Hansen, Lars Kai

A2 - Larsen, Jan

PY - 2002

Y1 - 2002

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AB - The DTU:Toolbox™ is a collection of machine learning algorithms implemented mainly for Matlab™. Currently it holds: *Independent component analysis (ICA) *Artificial neural networks (ANN) 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]. See also Mole Research and Development.

KW - Independent component analysis

KW - ICA

KW - Neural networks

KW - ANN

M3 - Computer programme

PB - ISP Group, Informatics and Mathematical Modelling, Tehcnical University of Denmark

ER -

DTU:Toolbox

Abstract

Keywords

UN SDGs

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