The need for open source software in machine learning
Sonnenburg, Soren; Braun, Mikio L; Ong, Cheng Soon; Bengio, Samy; Bottou, Leon; Holmes, Geoffrey; LeCun, Yann; Mueller, Klaus-Robert; Pereira, Fernando; Rasmussen, Carl E; Raetsch, Gunnar; Schoelkopf, Bernhard; Smola, Alexander; Vincent, Pascal; Weston, Jason; Williamson, Robert
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...[Show more]
|Collections||ANU Research Publications|
|Source:||Journal of Machine Learning Research|
|Sonnenburg_Need2007.pdf||1.25 MB||Adobe PDF|
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