The need for open source software in machine learning

Journal of Machine Learning Research

Volumn 8, Issue , 2007, Pages 2443-2466

  Sonnenburg, Sören ^a   Braun, Mikio L ^b   Cheng, Soon Ong ^c   Bengio, Samy ^d   Bottou, Leon ^e   Holmes, Geoffrey ^f   LeCun, Yann ^g   Müller, Klaus Robert ^b   Pereira, Fernando ^h   Rasmussen, Carl Edward ⁱ   Rätsch, Gunnar ^c   Schölkopf, Bernhard ^j   Smola, Alexander ^k   Vincent, Pascal ^l   Weston, Jason ^e   Williamson, Robert C ^k  

^a FRAUNHOFER FIRST   (Germany)

^b TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^c FRIEDRICH MIESCHER LABORATORY OF THE MAX PLANCK SOCIETY   (Germany)

^d GOOGLE INC   (United States)

^e NEC LABORATORIES AMERICA   (United States)

^f UNIVERSITY OF WAIKATO   (New Zealand)

^g NEW YORK UNIVERSITY   (United States)

^h UNIVERSITY OF PENNSYLVANIA   (United States)

ⁱ Department of Engineering ^*  (United Kingdom)

^j MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

^k AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^l UNIVERSITÉ DE MONTRÉAL   (Canada)

more..

Author keywords

Algorithms; Creditability; Machine learning; Open source; Reproducibility; Software

Indexed keywords

ALGORITHMS; INTEROPERABILITY; LEARNING SYSTEMS; REAL TIME SYSTEMS;

CREDITABILITY; OPEN SOURCES; REAL WORLD SYSTEMS; REPRODUCIBILITY;

COMPUTER SOFTWARE;

EID: 35748939406     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article

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