Neural computation

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  Año 1997, Vol. 9, Número 7

  • Mean-field theory for batched TD(gamma)

    Fernando J. Pineda

    págs. 1403-1419

    

  • Redundancy reduction and independent component analysis: Conditions on cumulants and adaptive

    Jean-Pierre Nadal, Nestor Parga

    págs. 1421-1446

    

  • Adaptive online learning algorithms for blind separation: Maximum entropy and minimum mutual

    Shun-Ichi Amari, Howard Hua Yang

    págs. 1457-1482

    

  • A fast fixed-point algorithm for independent component analysis

    Erkki Oja, Aapo Hyvarinen

    págs. 1483-1492

    

  • Dimension reduction by local principal component analysis

    Todd K. Leen, Nandakishore Kambhatla

    págs. 1493-1516

    

  • A constructive, incremental-learning network for mixture modeling and classification

    James R. Williamson

    págs. 1517-1543

    

  • Shape quantization and recognition with randomized trees

    Donald Geman

    págs. 1545-1588

    

  • Airline crew scheduling with Potts neurons

    Martin Lagerholm, Carsten Peterson

    págs. 1589-1598

    

  • Online learning in radial basis function networks

    David Saad, Jason A.S. Freeman

    págs. 1601-1622