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Volumn 16, Issue 2, 2001, Pages 287-298

Information theoretic competitive learning and linguistic rule acquisition

Author keywords

Competitive learning; Information maximization; Language acquisition

Indexed keywords

COMPETITIVE LEARNING; ENGINEERING PROBLEMS; INFORMATION MAXIMIZATION; LANGUAGE ACQUISITION;

EID: 0012588765     PISSN: 13460714     EISSN: 13468030     Source Type: Journal    
DOI: 10.1527/tjsai.16.287     Document Type: Article
Times cited : (51)

References (29)
  • 1
    • 0025225150 scopus 로고
    • Competitive learning algorithms for vector quantization
    • [Ahalt et al. 90]
    • [Ahalt et al. 90] Ahalt, S.C., andd P. Chen, A.K.K., and Melton, D.E. (1990). Competitive learning algorithms for vector quantization. Neural Networks, 3: 277-290.
    • (1990) Neural Networks , vol.3 , pp. 277-290
    • Ahalt, S.C.1    P. Chen, A.K.K.2    Melton, D.E.3
  • 3
    • 0000302918 scopus 로고
    • Toward a theory of early visual processing
    • [Atick and Redlich 90]
    • [Atick and Redlich 90] Atick, J.J. and Redlich, A.N. (1990). Toward a theory of early visual processing. Neural Computation, 2: 308-320.
    • (1990) Neural Computation , vol.2 , pp. 308-320
    • Atick, J.J.1    Redlich, A.N.2
  • 4
    • 0002469309 scopus 로고    scopus 로고
    • Mutual information maximization: Models of cortical self-organization
    • [Becker 96]
    • [Becker 96] Becker, S. (1996). Mutual information maximization: models of cortical self-organization. Network: Computation in Neural Systems, 7: 7-31.
    • (1996) Network: Computation in Neural Systems , vol.7 , pp. 7-31
    • Becker, S.1
  • 5
    • 0000840323 scopus 로고
    • Learning mixture models of spatial coherence
    • [Becker and Hinten 93]
    • [Becker and Hinten 93] Becker, S. and Hinton, G.E. (1993). Learning mixture models of spatial coherence. Neural Computation, 5: 267-277.
    • (1993) Neural Computation , vol.5 , pp. 267-277
    • Becker, S.1    Hinton, G.E.2
  • 6
    • 0002722109 scopus 로고
    • Derivational complexity and order of acquisition
    • [Brown and Hanlon 70] Hayes, R., editor. Wiley, New York
    • [Brown and Hanlon 70] Brown, R. and Hanlon, C. (1970). Derivational complexity and order of acquisition. In Hayes, R., editor, Cognition and Development of Language. Wiley, New York.
    • (1970) Cognition and Development of Language
    • Brown, R.1    Hanlon, C.2
  • 7
    • 0022730524 scopus 로고
    • Feedback to first language learners: The role of repetitions and clarification questions
    • [Demetras et al. 86]
    • [Demetras et al. 86] Demetras, M.J., Post, K.N., and Snow, C.E. (1986). Feedback to first language learners: The role of repetitions and clarification questions. Journal of Child Language, 13: 275-292.
    • (1986) Journal of Child Language , vol.13 , pp. 275-292
    • Demetras, M.J.1    Post, K.N.2    Snow, C.E.3
  • 9
    • 0016758101 scopus 로고
    • Cognitron: A selforganizing multi-layered neural network
    • [Fukushima 75]
    • [Fukushima 75] Fukushima, K. (1975). Cognitron: a selforganizing multi-layered neural network. Biological Cybernetics, 20: 121-136.
    • (1975) Biological Cybernetics , vol.20 , pp. 121-136
    • Fukushima, K.1
  • 11
    • 5244352553 scopus 로고
    • Competitive learning: From interactive activation to adaptive resonance
    • [Grossberg 87]
    • [Grossberg 87] Grossberg, S. (1987). Competitive learning: from interactive activation to adaptive resonance. Cognitive Science, 11: 23-63.
    • (1987) Cognitive Science , vol.11 , pp. 23-63
    • Grossberg, S.1
  • 12
    • 0003593041 scopus 로고    scopus 로고
    • [Hagan and Demuth 96]. PWS Publishing Company, Boston, MA
    • [Hagan and Demuth 96] Hagan, M.T. and Demuth, H.B. (1996). Neural Network Design. PWS Publishing Company, Boston, MA.
    • (1996) Neural Network Design
    • Hagan, M.T.1    Demuth, H.B.2
  • 14
    • 0000167218 scopus 로고
    • Hidden information maximization for feature detection and rule discovery
    • [Kamimura and Nakanishi 95]
    • [Kamimura and Nakanishi 95] Kamimura, R. and Nakanishi, S. (1995). Hidden information maximization for feature detection and rule discovery. Network, 6: 577-622.
    • (1995) Network , vol.6 , pp. 577-622
    • Kamimura, R.1    Nakanishi, S.2
  • 17
    • 0023981750 scopus 로고
    • Self-organization in a perceptual network
    • [Linsker 88]
    • [Linsker 88] Linsker, R. (1988). Self-organization in a perceptual network. Computer, 21: 105-117.
    • (1988) Computer , vol.21 , pp. 105-117
    • Linsker, R.1
  • 18
    • 0000353243 scopus 로고
    • How to generate ordered maps by maximizing the mutual information between input and output
    • [Linsker 89]
    • [Linsker 89] Linsker, R. (1989). How to generate ordered maps by maximizing the mutual information between input and output. Neural Computation, 1: 402-411.
    • (1989) Neural Computation , vol.1 , pp. 402-411
    • Linsker, R.1
  • 19
    • 0001525549 scopus 로고
    • Local synaptic rules suffice to maximize mutual information in a linear network
    • [Linsker 92]
    • [Linsker 92] Linsker, R. (1992). Local synaptic rules suffice to maximize mutual information in a linear network. Neural Computation, 4: 691-702.
    • (1992) Neural Computation , vol.4 , pp. 691-702
    • Linsker, R.1
  • 22
    • 0027266879 scopus 로고
    • Constraints on plasticity in a connectionist model of the english past tense
    • [Marchman 93]
    • [Marchman 93] Marchman, V.A. (1993). Constraints on plasticity in a connectionist model of the english past tense. Journal of Cognitive Neuroscience, 5(2): 215-234.
    • (1993) Journal of Cognitive Neuroscience , vol.5 , Issue.2 , pp. 215-234
    • Marchman, V.A.1
  • 23
    • 0025929080 scopus 로고
    • U-shaped learning and frequency effects in a multilayered perceptron: Implication for child language acquisition
    • [Plunkett and Marchman 91]
    • [Plunkett and Marchman 91] Plunkett, K. and Marchman, V. (1991). U-shaped learning and frequency effects in a multilayered perceptron: Implication for child language acquisition. Cognition, 38: 43-102.
    • (1991) Cognition , vol.38 , pp. 43-102
    • Plunkett, K.1    Marchman, V.2
  • 24
    • 34249971816 scopus 로고
    • Self-organizing semantic map
    • [Ritter and Kohonen 89]
    • [Ritter and Kohonen 89] Ritter, H. and Kohonen, T. (1989). Self-organizing semantic map. Biological Cybernetics, 61: 241-254.
    • (1989) Biological Cybernetics , vol.61 , pp. 241-254
    • Ritter, H.1    Kohonen, T.2
  • 25
    • 0000213389 scopus 로고
    • On learning the past tenses of english verbs
    • [Rumelhart and McClelland 86]. Rumelhart, D.E., Hinton, G.E., and Williams, R.J., editors, MIT Press, Cambrige
    • [Rumelhart and McClelland 86] Rumelhart, D.E. and Mc-Clelland, J.L. (1986). On learning the past tenses of english verbs. In Rumelhart, D.E., Hinton, G.E., and Williams, R.J., editors, Parallel Distributed Processing, volume 2, pages 216-271. MIT Press, Cambrige.
    • (1986) Parallel Distributed Processing , vol.2 , pp. 216-271
    • Rumelhart, D.E.1    Mc-Clelland, J.L.2
  • 26
    • 0001608026 scopus 로고
    • Feature discovery by competitive learning
    • [Rumelhart and Zipser 86]. Rumelhart, D.E., Hinton, G.E., and Williams, R.J., editors, MIT Press, Cambrige
    • [Rumelhart and Zipser 86] Rumelhart, D.E. and Zipser, D. (1986). Feature discovery by competitive learning. In Rumelhart, D.E., Hinton, G.E., and Williams, R.J., editors, Parallel Distributed Processing, volume 1, pages 151-193. MIT Press, Cambrige.
    • (1986) Parallel Distributed Processing , vol.1 , pp. 151-193
    • Rumelhart, D.E.1    Zipser, D.2
  • 28
    • 0015749493 scopus 로고
    • Selforganization of orientation sensitive cells in the striata cortex
    • [von der Malsburg 73]
    • [von der Malsburg 73] von der Malsburg, C. (1973). Selforganization of orientation sensitive cells in the striata cortex. Kybernetik, 14: 85-100.
    • (1973) Kybernetik , vol.14 , pp. 85-100
    • Von Der Malsburg, C.1
  • 29
    • 0027629412 scopus 로고
    • Rival penalized competitive learning for clustering analysis, rbf net, and curve detection
    • [Xu 93]
    • [Xu 93] Xu, L. (1993). Rival penalized competitive learning for clustering analysis, rbf net, and curve detection. IEEE Transaction on Neural Networks, 4(4): 636-649.
    • (1993) IEEE Transaction on Neural Networks , vol.4 , Issue.4 , pp. 636-649
    • Xu, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.