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Volumn , Issue , 2012, Pages

Unsupervised play: Machine learning toolkit for max

Author keywords

Adaptive resonance theory; Max 5; NIME; Self organizing maps; Unsupervised machine learning

Indexed keywords

CONFORMAL MAPPING; LEARNING ALGORITHMS; MUSIC; SUPERVISED LEARNING;

EID: 85137694329     PISSN: 22204792     EISSN: 22204806     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (20)

References (12)
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    • Fuzzy ART: fast stable learning and categorization of analog patterns by an adaptive resonance system
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    • (1991) Neural Networks , vol.4 , pp. 759-771
    • Carpenter, G. A.1    Grossberg, S.2    Rosen, D. B.3
  • 2
    • 33746866297 scopus 로고    scopus 로고
    • Contrasting five different theories of letter position coding: Evidence from orthographic similarity effects
    • C. J. Davis and J. S. Bowers. Contrasting five different theories of letter position coding: Evidence from orthographic similarity effects. Journal of Experimental Psychology: Human Perception and Performance, 32(3):535–557, 2006.
    • (2006) Journal of Experimental Psychology: Human Perception and Performance , vol.32 , Issue.3 , pp. 535-557
    • Davis, C. J.1    Bowers, J. S.2
  • 5
    • 84968149010 scopus 로고
    • Categorization of musical patterns by self-organizing neuronlike networks
    • R. O. Gjerdingen. Categorization of musical patterns by self-organizing neuronlike networks. Musical Perception, 1990.
    • (1990) Musical Perception
    • Gjerdingen, R. O.1
  • 6
    • 0025489075 scopus 로고
    • The self-organizing map
    • T. Kohonen. The self-organizing map. Proceedings of the IEEE, 78(9):1464–1480, 1990.
    • (1990) Proceedings of the IEEE , vol.78 , Issue.9 , pp. 1464-1480
    • Kohonen, T.1
  • 7
    • 33745839757 scopus 로고    scopus 로고
    • Performance evaluation of the self-organizing map for feature extraction
    • Y. Liu, R. Weisberg, and C. Mooers. Performance evaluation of the self-organizing map for feature extraction. Journal of Geophysical Research-Oceans, 111(C5), 2006.
    • (2006) Journal of Geophysical Research-Oceans , vol.111 , Issue.C5
    • Liu, Y.1    Weisberg, R.2    Mooers, C.3
  • 8
    • 21844515942 scopus 로고
    • Modelling the perception of musical sequences with self-organizing neural networks
    • (& 3)
    • M. P. A. Page. Modelling the perception of musical sequences with self-organizing neural networks. Connection Science, 6(2 & 3):223–246, 1994.
    • (1994) Connection Science , vol.6 , Issue.2 , pp. 223-246
    • Page, M. P. A.1
  • 12
    • 84876046665 scopus 로고    scopus 로고
    • Reinforcement learning and the creative, automated music improviser
    • B. Smith and G. Garnett. Reinforcement learning and the creative, automated music improviser. In Proc. of EVOMUSART, 2012.
    • (2012) Proc. of EVOMUSART
    • Smith, B.1    Garnett, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.