The need for open source software in machine learning

About this item

Title

The need for open source software in machine learning

Content partner

University of Waikato

Collection

ResearchCommons@Waikato

Description

Open source tools have recently reached a level of maturity which makes them suitable for building large-scale real-world systems. At the same time, the field of machine learning has developed a large body of powerful learning algorithms for diverse applications. However, the true potential of these methods is not used, since existing implementations are not openly shared, resulting in software with low usability, and weak interoperability. We argue that this situation can be significantly im...

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Format

Research paper

Research format

Journal article

Date created

2007

Creator

Sonnenburg, Soren / Braun, Mikio L. / Ong, Cheng Soon / Bengio, Samy / Bottou, Leon / Holmes, Geoffrey / LeCunn, Yann / Muller, Klaus-Robert / Pereira, Fernando / Rasmussen, Carl Edward / Ratsch, Gunnar / Scholkopf, Bernhard / Smola, Alexander / Vincent, Pascal / Weston, Jason / Williamson, Robert C.

URL

https://hdl.handle.net/10289/3928

Related subjects

machine learning / open source / reproducibility / creditability / algorithms / software

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This article has been published in the journal: Journal of Machine Learning Research. © 2007 The authors.

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