The Need for Open Source Software in Machine Learning

@article{Sonnenburg2007TheNF,
  title={The Need for Open Source Software in Machine Learning},
  author={S{\"o}ren Sonnenburg and Mikio L. Braun and Cheng Soon Ong and Samy Bengio and L{\'e}on Bottou and Geoff Holmes and Yann LeCun and Klaus-Robert M{\"u}ller and Fernando Pereira and Carl E. Rasmussen and Gunnar R{\"a}tsch and Bernhard Sch{\"o}lkopf and Alexander J. Smola and Pascal Vincent and Jason Weston and Robert C. Williamson},
  journal={Journal of Machine Learning Research},
  year={2007},
  volume={8},
  pages={2443-2466}
}
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… CONTINUE READING

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