OpenML : networked science in machine learning

J. Vanschoren, J.N. van Rijn, B. Bischl, L. Torgo

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

Uittreksel

Many sciences have made significant breakthroughs by adopting online tools that help organize, structure and mine information that is too detailed to be printed in journals. In this paper, we introduce OpenML, a place for machine learning researchers to share and organize data in fine detail, so that they can work more effectively, be more visible, and collaborate with others to tackle harder problems. We discuss how OpenML relates to other examples of networked science and what benefits it brings for machine learning research, individual scientists, as well as students and practitioners.
TaalEngels
Pagina's49-60
Aantal pagina's12
TijdschriftSIGKDD Explorations
Volume15
Nummer van het tijdschrift2
DOI's
StatusGepubliceerd - 2013
Extern gepubliceerdJa

Vingerafdruk

science
learning
student

Citeer dit

Vanschoren, J., van Rijn, J. N., Bischl, B., & Torgo, L. (2013). OpenML : networked science in machine learning. SIGKDD Explorations, 15(2), 49-60. DOI: 10.1145/2641190.2641198
Vanschoren, J. ; van Rijn, J.N. ; Bischl, B. ; Torgo, L./ OpenML : networked science in machine learning. In: SIGKDD Explorations. 2013 ; Vol. 15, Nr. 2. blz. 49-60
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Vanschoren, J, van Rijn, JN, Bischl, B & Torgo, L 2013, 'OpenML : networked science in machine learning' SIGKDD Explorations, vol. 15, nr. 2, blz. 49-60. DOI: 10.1145/2641190.2641198

OpenML : networked science in machine learning. / Vanschoren, J.; van Rijn, J.N.; Bischl, B.; Torgo, L.

In: SIGKDD Explorations, Vol. 15, Nr. 2, 2013, blz. 49-60.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

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Vanschoren J, van Rijn JN, Bischl B, Torgo L. OpenML : networked science in machine learning. SIGKDD Explorations. 2013;15(2):49-60. Beschikbaar vanaf, DOI: 10.1145/2641190.2641198