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Volumn 35, Issue 2, 2006, Pages 113-120

Statistical evaluation of music information retrieval experiments

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EID: 33748450506     PISSN: 09298215     EISSN: 17445027     Source Type: Journal    
DOI: 10.1080/09298210600834946     Document Type: Article
Times cited : (27)

References (22)
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    • Dietterich, T.G.1
  • 5
    • 2942737445 scopus 로고    scopus 로고
    • The scientific evaluation of music information retrieval systems: Foundations and future
    • Downie, J.S. (2004). The scientific evaluation of music information retrieval systems: foundations and future. Computer Music Journal, 28(2), 12-23.
    • (2004) Computer Music Journal , vol.28 , Issue.2 , pp. 12-23
    • Downie, J.S.1
  • 10
    • 0012320945 scopus 로고    scopus 로고
    • Statistical evaluation of neural network experiments: Minimum requirements and current practice
    • R. Trappl (Ed.). Wien: Oesterreichische Studiengesellschaft fuer Kybernetik
    • Flexer, A. (1996). Statistical evaluation of neural network experiments: minimum requirements and current practice. In: R. Trappl (Ed.), Cybernetics and Systems '96. pp. 1005-1008. Wien: Oesterreichische Studiengesellschaft fuer Kybernetik.
    • (1996) Cybernetics and Systems '96 , pp. 1005-1008
    • Flexer, A.1
  • 12
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    • Machine learning as an experimental science
    • Kibler, D. & Langley, P. 1988. Machine learning as an experimental science. Machine Learning, 3(1), 5-8.
    • (1988) Machine Learning , vol.3 , Issue.1 , pp. 5-8
    • Kibler, D.1    Langley, P.2
  • 14
    • 0003612091 scopus 로고
    • Michie, D., Spiegelhalter, D.J. & Taylor, C.C. (Eds.). England: Ellis Horwood
    • Michie, D., Spiegelhalter, D.J. & Taylor, C.C. (Eds.). (1994). Machine Learning, Neural and Statistical Classification. England: Ellis Horwood.
    • (1994) Machine Learning, Neural and Statistical Classification
  • 18
    • 0030130727 scopus 로고    scopus 로고
    • A quantative study of experimental evaluations of neural network learning algorithms: Current research practice
    • Prechelt, L. (1996). A quantative study of experimental evaluations of neural network learning algorithms: current research practice. Neural Networks, 9(3), 457-462.
    • (1996) Neural Networks , vol.9 , Issue.3 , pp. 457-462
    • Prechelt, L.1
  • 20
    • 27144463192 scopus 로고    scopus 로고
    • On comparing classifiers: Pitfalls to avoid and a recommended approach
    • Salzberg, S. (1997). On comparing classifiers: pitfalls to avoid and a recommended approach. Data Mining and Knowledge Discovery, 1(3), 317-328.
    • (1997) Data Mining and Knowledge Discovery , vol.1 , Issue.3 , pp. 317-328
    • Salzberg, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.