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Volumn 8190 LNAI, Issue PART 3, 2013, Pages 645-649

OpenML: A collaborative science platform

Author keywords

Databases; Experimental Methodology; Machine Learning; Meta Learning

Indexed keywords

EXPERIMENTAL METHODOLOGY; METALEARNING; OPEN SCIENCE; STUDY AND APPLICATIONS;

EID: 84886475419     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40994-3_46     Document Type: Conference Paper
Times cited : (74)

References (5)
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  • 2
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    • Data mining research: Current status and future opportunities
    • Hirsh, H.: Data mining research: Current status and future opportunities. Statistical Analysis and Data Mining 1(2), 104-107 (2008)
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    • Hirsh, H.1
  • 3
    • 84862002197 scopus 로고    scopus 로고
    • The future of science: Building a better collective memory
    • Nielsen, M.A.: The future of science: Building a better collective memory. APS Physics 17(10) (2008)
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    • Nielsen, M.A.1
  • 4
    • 84949799605 scopus 로고    scopus 로고
    • Improved dataset characterisation for meta-learning
    • Lange, S., Satoh, K., Smith, C.H. (eds.) DS 2002. Springer, Heidelberg
    • Peng, Y.H., Flach, P.A., Soares, C., Brazdil, P.B.: Improved dataset characterisation for meta-learning. In: Lange, S., Satoh, K., Smith, C.H. (eds.) DS 2002. LNCS, vol. 2534, pp. 141-152. Springer, Heidelberg (2002)
    • (2002) LNCS , vol.2534 , pp. 141-152
    • Peng, Y.H.1    Flach, P.A.2    Soares, C.3    Brazdil, P.B.4
  • 5
    • 84862023028 scopus 로고    scopus 로고
    • Experiment databases. A new way to share, organize and learn from experiments
    • Vanschoren, J., Blockeel, H., Pfahringer, B., Holmes, G.: Experiment databases. A new way to share, organize and learn from experiments. Machine Learning 87(2), 127-158 (2012), https://lirias.kuleuven.be/handle/123456789/ 297378
    • (2012) Machine Learning , vol.87 , Issue.2 , pp. 127-158
    • Vanschoren, J.1    Blockeel, H.2    Pfahringer, B.3    Holmes, G.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.