The NEXTPITCH learning classifier system: Representation, information theory and performance

Leonardo

Volumn 36, Issue 1, 2003, Pages 47-50

  Federman, Francine ^a  

^a STATE UNIVERSITY OF NEW YORK   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 70449839795     PISSN: 0024094X     EISSN: None     Source Type: Journal    
DOI: 10.1162/002409403321152301     Document Type: Article

References (8)

1. See J.H. Holland et al., Induction (Cambridge, MA: MIT Press, 1986)
2. D.E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning (Reading, MA.: Addison-Wesley, 1989)
3. See F.H. Federman and S. Dorchak, "Representation of' Music in a Learning Classifier System," in Z.W. Ras and A. Skowron, eds., Foundations of Intelligent Systems: 10th International Symposium Proceedings (Germany: Springer-Verlag, 1997)
4. F.H. Federman and S. Dorchak, "Information Theory and NEXTP1TCH: A Learning Classifier System," in Thomas Back, ed., Proceedings of the Seventh International Conference on Genetic Algorithms (San Francisco, CA: Morgan Kaufmann, 1997)
5. W.J. Dowling, "Procedural and Declarative Knowledge in Music Cognition and Education," in T.J. Tighe and W.J. Dowling, eds., Psychology and Music (Hillsdale, NJ: Lawrence Erlbaum, 1993)
6. R.L. Marshall, The Music of Johann Sebastian Bach: The Sources, the Style, the Significance (New York: Schirmer Books, 1989)
7. R.N. Sheppard, "Structural Representations of Musical Pitch," in D. Deutsch, ed., ThePsychology of Music. (Orlando, FL: Academic Press, Inc., 1982)
8. M. Schwartz, Information Transmission, Modulation, and Noise (New York: McGraw-Hill, 1970)