메뉴 건너뛰기




Volumn 14, Issue 2, 2002, Pages 137-162

Greedy information acquisition algorithm: A new information theoretic approach to dynamic information acquisition in neural networks

Author keywords

Competitive learning; Feature detection; Greedy information acquisition; Information maximization; Network growing

Indexed keywords

GREEDY INFORMATION ACQUISITION ALGORITHMS;

EID: 0036626892     PISSN: 09540091     EISSN: None     Source Type: Journal    
DOI: 10.1080/09540090210162065     Document Type: Article
Times cited : (33)

References (31)
  • 2
    • 0000302918 scopus 로고
    • Toward a theory of early visual processing
    • 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
  • 3
    • 0000840323 scopus 로고
    • Learning mixture models of spatial coherence
    • 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
  • 5
    • 0031042985 scopus 로고    scopus 로고
    • Phylogenetic reconstruction using a growing neural network that adopts the topology of a phylogenetic tree
    • Dopazo, J., and Carazo, J. M., 1997, Phylogenetic reconstruction using a growing neural network that adopts the topology of a phylogenetic tree. Journal of Molecular Evolution, 44: 226-233.
    • (1997) Journal of Molecular Evolution , vol.44 , pp. 226-233
    • Dopazo, J.1    Carazo, J.M.2
  • 6
    • 0000155950 scopus 로고    scopus 로고
    • The cascade-correlation learning architecture
    • San Mateo CA: Morgan Kaufmann
    • Fahlman, S. E., and Lebiere, C., 2000, The cascade-correlation learning architecture. In Advances in Neural Information Processing, Vol. 2 (San Mateo CA: Morgan Kaufmann), pp. 524-532.
    • (2000) Advances in Neural Information Processing , vol.2 , pp. 524-532
    • Fahlman, S.E.1    Lebiere, C.2
  • 8
    • 0001948145 scopus 로고
    • Fast learning with incremental RBF networks
    • Fritzke, B., 1994a, Fast learning with incremental RBF networks. Neural Processing Letters, 1 (1): 2-5.
    • (1994) Neural Processing Letters , vol.1 , Issue.1 , pp. 2-5
    • Fritzke, B.1
  • 9
    • 0028748949 scopus 로고
    • Growing cell structures-a self-organizing network for unsupervised and supervised learning
    • Fritzke, B., 1994b, Growing cell structures-a self-organizing network for unsupervised and supervised learning. Neural Networks, 7 (9): 1441-1460.
    • (1994) Neural Networks , vol.7 , Issue.9 , pp. 1441-1460
    • Fritzke, B.1
  • 10
    • 0012532267 scopus 로고    scopus 로고
    • Unsupervised ontogenetic networks
    • In E. Fiesler and R. Beale (eds) (Bristol: Institute of Physics and Oxford: Oxford University Press)
    • Fritzke, B., 1996, Unsupervised ontogenetic networks. In E. Fiesler and R. Beale (eds) Handbook of Neural Computation. (Bristol: Institute of Physics and Oxford: Oxford University Press).
    • (1996) Handbook of Neural Computation
    • Fritzke, B.1
  • 12
    • 5244352553 scopus 로고
    • Competitive learning: From interactive activation to adaptive resonance
    • 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
  • 14
    • 0035108235 scopus 로고    scopus 로고
    • A hierarchical unsupervised growing neural network for clustering gene expression patterns
    • Herrero, J., Valencia, A., and Dopazo, J., 2001, A hierarchical unsupervised growing neural network for clustering gene expression patterns. Bioinformatics, 17 (2): 126-136.
    • (2001) Bioinformatics , vol.17 , Issue.2 , pp. 126-136
    • Herrero, J.1    Valencia, A.2    Dopazo, J.3
  • 16
    • 0035528493 scopus 로고    scopus 로고
    • Flexible feature discovery and structural information
    • Kamimura, R., Kamimura, T., and Uchida, O., 2001b, Flexible feature discovery and structural information. Connection Science, 13 (4): 323-347.
    • (2001) Connection Science , vol.13 , Issue.4 , pp. 323-347
    • Kamimura, R.1    Kamimura, T.2    Uchida, O.3
  • 17
    • 0000167218 scopus 로고
    • Hidden information maximization for feature detection and rule discovery
    • 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
  • 18
    • 0020068152 scopus 로고
    • Self-organized formation of topological correct feature maps
    • Kohonen, T., 1982, Self-organized formation of topological correct feature maps. Biological Cybernetics, 43: 59-69.
    • (1982) Biological Cybernetics , vol.43 , pp. 59-69
    • Kohonen, T.1
  • 19
    • 0032795250 scopus 로고    scopus 로고
    • Modelling with constructive backpropagation architecture
    • Lehtokangas, M., 1999, Modelling with constructive backpropagation architecture. Neural Networks, 12: 707-716.
    • (1999) Neural Networks , vol.12 , pp. 707-716
    • Lehtokangas, M.1
  • 20
    • 0023981750 scopus 로고
    • Self-organization in a perceptual network
    • Linsker, R., 1988, Self-organization in a perceptual network. Computer, 21: 105-117.
    • (1988) Computer , vol.21 , pp. 105-117
    • Linsker, R.1
  • 21
    • 0000353243 scopus 로고
    • How to generate ordered maps by maximizing the mutual information between input and output
    • 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
  • 22
    • 0001525549 scopus 로고
    • Local synaptic rules suffice to maximize mutual information in a linear network
    • 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
  • 24
    • 0027266879 scopus 로고
    • Constraints on plasticity in a connectionist model of the english past tense
    • 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
  • 25
    • 0025056697 scopus 로고
    • Regularization algorithms for learning that are equivalent to multiplayer networks
    • Poggio, T., and Girosi, F., 1990, Regularization algorithms for learning that are equivalent to multiplayer networks. Science, 247: 978-982.
    • (1990) Science , vol.247 , pp. 978-982
    • Poggio, T.1    Girosi, F.2
  • 26
  • 27
    • 0001608026 scopus 로고
    • Feature discovery by competitive learning
    • In D. E. Rumelhart, G. E. Hinton, R. J. and Williams (eds) (Cambridge MA: MIT Press)
    • Rumelhart, D. E., and Zipser, D., 1986, Feature discovery by competitive learning. In D. E. Rumelhart, G. E. Hinton, R. J. and Williams (eds) Parallel Distributed Processing, Vol. 1 (Cambridge MA: MIT Press), pp. 151-193.
    • (1986) Parallel Distributed Processing , vol.1 , pp. 151-193
    • Rumelhart, D.E.1    Zipser, D.2
  • 29
    • 0031104849 scopus 로고    scopus 로고
    • Supervised learning extensions to the clam network
    • Thacker, N. A., Abraham, I., and Courtney, P., 1997, Supervised learning extensions to the clam network. Neural Networks, 10 (2): 315-326.
    • (1997) Neural Networks , vol.10 , Issue.2 , pp. 315-326
    • Thacker, N.A.1    Abraham, I.2    Courtney, P.3
  • 30
    • 0025229385 scopus 로고
    • Supervised learning extensions to the clam network
    • Thacker, N. A., and Mayhew, J. E. W., 1990, Supervised learning extensions to the clam network. Neural Networks, 3 (3): 291-299.
    • (1990) Neural Networks , vol.3 , Issue.3 , pp. 291-299
    • Thacker, N.A.1    Mayhew, J.E.W.2
  • 31
    • 0027629412 scopus 로고
    • Rival penalized competitive learning for clustering analysis, RBF net, and curve detection
    • 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.