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Volumn 34, Issue 4, 2005, Pages 331-339

Corrigendum: Style Recognition through Statistical Event Models ((2016), 10.1080/09298210600578113);Style recognition through statistical event models

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EID: 33745155050     PISSN: 09298215     EISSN: 17445027     Source Type: Journal    
DOI: 10.1080/09298215.2016.1160851     Document Type: Erratum
Times cited : (7)

References (19)
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    • Cruz, P.P., Vidal, E. & Pérez-Cortes, J.C. (2003). Musical style identification using grammatical inference: The encoding problem. In: A. Sanfeliu, & J. Ruiz-Shulcloper (Eds.), Proceedings of CIARP 2003. Havana: Springer, pp. 375-382.
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  • 6
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    • A machine learning approach to musical style recognition
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  • 8
    • 0031269184 scopus 로고    scopus 로고
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    • Domingos, P. & Pazzani, M. (1997). Beyond independence: Conditions for the optimality of simple Bayesian classifier. Machine Learning, 29, 103-130.
    • (1997) Machine Learning , vol.29 , pp. 103-130
    • Domingos, P.1    Pazzani, M.2
  • 12
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    • On the use of Bernoulli mixture models for text classification
    • Juan, A. & Vidal, E. (2002). On the use of Bernoulli mixture models for text classification. Pattern Recognition, 35(12), 2705-2710.
    • (2002) Pattern Recognition , vol.35 , Issue.12 , pp. 2705-2710
    • Juan, A.1    Vidal, E.2
  • 13
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    • A comparison of event models for naive bayes text classification
    • Madison: AAAI Press
    • McCallum, A. & Nigam, K. (1998). A comparison of event models for naive bayes text classification. In AAAI-98 Workshop on Learning for Text Categorization. Madison: AAAI Press, pp. 41-48.
    • (1998) AAAI-98 Workshop on Learning for Text Categorization , pp. 41-48
    • McCallum, A.1    Nigam, K.2
  • 14
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    • Automatic genre classification using large high-level musical feature sets
    • C. L. Buyoli & R. Loureiro (Eds.). Barcelona: Audiovisual Institute Pompeu Fabra University
    • McKay, C. & Fujinaga, I. (2004). Automatic genre classification using large high-level musical feature sets. In: C. L. Buyoli & R. Loureiro (Eds.), International Conference on Music Information Retrieval, ISMIR 2004. Barcelona: Audiovisual Institute Pompeu Fabra University, pp. 525-530.
    • (2004) International Conference on Music Information Retrieval, ISMIR 2004 , pp. 525-530
    • McKay, C.1    Fujinaga, I.2
  • 15
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    • Text document classification using finite mixtures
    • Academy of Sciences of the Czech Republic, Institute of Information Theory and Automation
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    • (2002) Technical Report , vol.2063
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  • 17
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    • Feature-driven recognition of music styles
    • F.J. Perales, A.J.C. Campilho, N. Pérez de la Blanca & A. Sanfeliu (Eds.). Mallorca: Springer, 2652
    • Ponce de León, P.J. & Inesta, J.M. (2003). Feature-driven recognition of music styles. In: F.J. Perales, A.J.C. Campilho, N. Pérez de la Blanca & A. Sanfeliu (Eds.), First Iberian Conference on Pattern Recognition and Image Analysis. LNCS. Mallorca: Springer, pp. 773-781, 2652.
    • (2003) First Iberian Conference on Pattern Recognition and Image Analysis. LNCS , pp. 773-781
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.