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Volumn 47, Issue 1-4, 2002, Pages 35-57

ε-insensitive Hebbian learning

Author keywords

Hebbian learning; Indenpendent components; Noise

Indexed keywords

ERROR ANALYSIS; GAUSSIAN NOISE (ELECTRONIC); LEARNING SYSTEMS; PRINCIPAL COMPONENT ANALYSIS;

EID: 0036707122     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(01)00579-3     Document Type: Review
Times cited : (23)

References (26)
  • 3
    • 0026359599 scopus 로고
    • Interactive classification and mapping of multi-dimensional remotely sensed data using n-dimensional probability density functions (npdf)
    • H. Cetin, D.W. Levandowski, Interactive classification and mapping of multi-dimensional remotely sensed data using n-dimensional probability density functions (npdf), Photogramm. Eng. Remote Sensing 57 (12) (1991) 1579-1587.
    • (1991) Photogramm. Eng. Remote Sensing , vol.57 , Issue.12 , pp. 1579-1587
    • Cetin, H.1    Levandowski, D.W.2
  • 4
    • 0005819124 scopus 로고    scopus 로고
    • Modelling multiple cause structure using rectification constraints
    • D. Charles, C. Fyfe, Modelling multiple cause structure using rectification constraints, Network: Comput. Neural Systems 9 (1998) 167-182.
    • (1998) Network: Comput. Neural Systems , vol.9 , pp. 167-182
    • Charles, D.1    Fyfe, C.2
  • 6
    • 0003469401 scopus 로고
    • Models of sensory coding
    • Ph.D. Thesis, University of Cambridge
    • P. Földiák, Models of sensory coding, Ph.D. Thesis, University of Cambridge, 1992.
    • (1992)
    • Földiák, P.1
  • 7
    • 0002185014 scopus 로고
    • Hebbian synaptic plasticity: Comparative and developmental aspects
    • M.A. Arbib (Ed.), MIT Press, Cambridge, MA
    • Y. Fregnac, in: Hebbian synaptic plasticity: comparative and developmental aspects, in: M.A. Arbib (Ed.), The Handbook of Brain Theory and Neural Networks, MIT Press, Cambridge, MA, 1995.
    • (1995) The Handbook of Brain Theory and Neural Networks
    • Fregnac, Y.1
  • 8
    • 0005901549 scopus 로고
    • Pca properties of interneurons, From Neurobiology to Real World Computing
    • C. Fyfe, Pca properties of interneurons, From Neurobiology to Real World Computing, ICANN 93, 1993, pp. 183-188.
    • (1993) ICANN 93 , pp. 183-188
    • Fyfe, C.1
  • 9
    • 0029411178 scopus 로고
    • Introducing asymmetry into interneuron learning
    • C. Fyfe, Introducing asymmetry into interneuron learning, Neural Computation 7 (6) (1995) 1167-1181.
    • (1995) Neural Computation , vol.7 , Issue.6 , pp. 1167-1181
    • Fyfe, C.1
  • 10
  • 11
    • 0000006342 scopus 로고
    • Baddeley, Non-linear data structure extraction using simple hebbian networks
    • C. Fyfe, R. Baddeley, Non-linear data structure extraction using simple hebbian networks, Biol. Cybernet. 72 (6) (1995) 533-541.
    • (1995) Biol. Cybernet. , vol.72 , Issue.6 , pp. 533-541
    • Fyfe, C.R.1
  • 13
    • 0004167702 scopus 로고
    • The Organisation of Behaviour
    • Wiley, New York
    • D.O. Hebb, The Organisation of Behaviour, Wiley, New York, 1949.
    • (1949)
    • Hebb, D.O.1
  • 14
    • 0026191274 scopus 로고
    • Blind separation of sources, part 1: An adaptive algorithm based on neuromimetic architecture
    • C. Jutten, J. Herault, Blind separation of sources, part 1: An adaptive algorithm based on neuromimetic architecture, Signal Processing 24 (1991) 1-10.
    • (1991) Signal Processing , vol.24 , pp. 1-10
    • Jutten, C.1    Herault, J.2
  • 15
    • 0028272776 scopus 로고
    • Representation and separation of signals using nonlinear pca type learning
    • J. Karhunen, J. Joutsensalo, Representation and separation of signals using nonlinear pca type learning, Neural Networks 7 (1) (1994) 113-127.
    • (1994) Neural Networks , vol.7 , Issue.1 , pp. 113-127
    • Karhunen, J.1    Joutsensalo, J.2
  • 18
    • 4243611925 scopus 로고    scopus 로고
    • Quo Vadis computational intelligence: New trends and approaches in computational intelligence
    • Physica Verlag, Heidelberg
    • E. Merenyi, Quo Vadis computational intelligence: new trends and approaches in computational intelligence, Studies in Fuzziness and Soft Computing, Physica Verlag, Heidelberg (2000) Vol. 54.
    • (2000) Studies in Fuzziness and Soft Computing , vol.54
    • Merenyi, E.1
  • 19
    • 0020464111 scopus 로고
    • A simplified neuron model as a principal component analyser
    • E. Oja, A simplified neuron model as a principal component analyser, J. Math. Biol. 16 (1982) 267-273.
    • (1982) J. Math. Biol. , vol.16 , pp. 267-273
    • Oja, E.1
  • 20
    • 0002399288 scopus 로고
    • Neural networks, principal components and subspaces
    • E. Oja, Neural networks, principal components and subspaces, Int. J. Neural Systems 1 (1989) 61-68.
    • (1989) Int. J. Neural Systems , vol.1 , pp. 61-68
    • Oja, E.1
  • 21
    • 0003168213 scopus 로고
    • Pca in fully parallel neural networks
    • I. Aleksander, J. Taylor (Eds.), North-Holland, Amsterdam
    • E. Oja, H. Ogawa, J. Wangviwattana, Pca in fully parallel neural networks, in: I. Aleksander, J. Taylor (Eds.), Artificial Neural Networks, Vol. 2, North-Holland, Amsterdam, 1992.
    • (1992) Artificial Neural Networks , vol.2
    • Oja, E.1    Ogawa, H.2    Wangviwattana, J.3
  • 22
    • 0024991999 scopus 로고
    • Analysis of the two-dimensional receptive fields learned by the generalized hebbian algorithm in response to random input
    • T.D. Sanger, Analysis of the two-dimensional receptive fields learned by the generalized hebbian algorithm in response to random input, Biol. Cybernet. 63 (1990) 221-228.
    • (1990) Biol. Cybernet. , vol.63 , pp. 221-228
    • Sanger, T.D.1
  • 23
    • 0003401675 scopus 로고    scopus 로고
    • A tutorial on support vector regression
    • Technical Report NC2-TR-1998-030, NeuroCOLT2 Technical Report Series, October
    • A.J. Smola, B. Scholkopf, A tutorial on support vector regression. Technical Report NC2-TR-1998-030, NeuroCOLT2 Technical Report Series, October 1998.
    • (1998)
    • Smola, A.J.1    Scholkopf, B.2
  • 24
    • 0013309452 scopus 로고
    • Feature discovery through, error-correcting learning
    • Technical Report 8501, Institute for Cognitive Science, University of California, San Diego
    • R.J. Williams, Feature discovery through, error-correcting learning. Technical Report 8501, Institute for Cognitive Science, University of California, San Diego, 1985.
    • (1985)
    • Williams, R.J.1
  • 25
    • 0027206958 scopus 로고
    • Least mean square error reconstruction principle for self-organizing neural-nets
    • L. Xu, Least mean square error reconstruction principle for self-organizing neural-nets, Neural Networks 6 (5) (1993) 627-648.
    • (1993) Neural Networks , vol.6 , Issue.5 , pp. 627-648
    • Xu, L.1
  • 26
    • 0026745682 scopus 로고
    • Modified hebbian learning for curve and surface fitting
    • L. Xu, E. Oja, C.Y. Suen, Modified hebbian learning for curve and surface fitting, Neural Networks 5 (1992) 441-457.
    • (1992) Neural Networks , vol.5 , pp. 441-457
    • Xu, L.1    Oja, E.2    Suen, C.Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.