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Erratum: Machine Learning as an Objective Approach to Understanding Music

  • Erratum
  • Conference paper
New Frontiers in Mining Complex Patterns (NFMCP 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7765))

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Abstract

The paper starting on page 64 of this publication has been withdrawn because Figure 1 is incorrect and it is unclear if the paper’s results can be reproduced.

The original online version for this chapter can be found at http://dx.doi.org/10.1007/978-3-642-37382-4_5

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Author information

Authors and Affiliations

  1. Aberystwyth University, UK

    Claire Q

  2. University of Manchester, UK

    Ross D. King

Authors
  1. Claire Q
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  2. Ross D. King
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Editor information

Editors and Affiliations

  1. Dipartimento di Informatica, Università degli Studi di Bari Aldo Moro, Via Orabona 4, 70125, Bari, Italy

    Annalisa Appice , Michelangelo Ceci  & Corrado Loglisci ,  & 

  2. Institute for High Performance Computing and Networks (ICAR), National Research Council (CNR), Via Pietro Bucci 41C, 87036, Rende, CS, Italy

    Giuseppe Manco  & Elio Masciari  & 

  3. Department of Computer Science, University of North Caroline, 9201 Unviersity City Boulevard, 28223, Charlotte, NC, USA

    Zbigniew W. Ras

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© 2013 Springer-Verlag Berlin Heidelberg

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Q, C., King, R.D. (2013). Erratum: Machine Learning as an Objective Approach to Understanding Music. In: Appice, A., Ceci, M., Loglisci, C., Manco, G., Masciari, E., Ras, Z.W. (eds) New Frontiers in Mining Complex Patterns. NFMCP 2012. Lecture Notes in Computer Science(), vol 7765. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37382-4_16

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  • DOI: https://doi.org/10.1007/978-3-642-37382-4_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37381-7

  • Online ISBN: 978-3-642-37382-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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