Neural computation

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  Año 1999, Vol. 11, Número 2

  • A Unifying Review of Linear Gaussian Models

    Zoubin Ghahramani, Sam Rowels

    págs. 305-345

    

  • Implicit Learning in 3D Object Recognition: The Importance of Temporal Context

    Suzanna Becker

    págs. 347-374

    

  • Relation Between Retinotopical and Orientation Maps in Visual Cortex

    Misha Tsodyks, Klaus Pawelzik, Udo Ernst, Terrence J. Sejnowski

    págs. 375-379

    

  • A Parallel Noise-Robust Algorithm to Recover Depth Information from Radial Flow Fields

    V. Gerdes, A. Cozzi

    págs. 381-416

    

  • Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian Sources

    Terrence J. Sejnowski, Mark Girolami, Te-Won Lee

    págs. 417-441

    

  • Mixtures of Probabilistic Principal Component Analyzers

    Michael E. Tipping, Christopher M. Bishop

    págs. 443-482

    

  • Boosted Mixture of Experts: An Ensemble Learning Scheme

    Nathan Intrator, Ran Avnimelech

    págs. 483-497

    

  • Boosting Regression Estimators

    Nathan Intrator, Ran Avnimelech

    págs. 499-520

    

  • An On-Line Agglomerative Clustering Method for Nonstationary Data

    Mickey London, Isaac David Guedalia, Michael Werman

    págs. 521-540

    

  • Hidden Neural Networks

    Soren Kamaric Riis, Anders Krogh

    págs. 541-563