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Issues

Volume 11, Issue 2
February 1999
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Review

A Unifying Review of Linear Gaussian Models
Sam Roweis, Zoubin Ghahramani
Neural Computation (1999) 11 (2): 305–345.
View articletitled, A Unifying Review of Linear Gaussian Models
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Article

Implicit Learning in 3D Object Recognition: The Importance of Temporal Context
Suzanna Becker
Neural Computation (1999) 11 (2): 347–374.
View articletitled, Implicit Learning in 3D Object Recognition: The Importance of Temporal Context
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Note

Relation Between Retinotopical and Orientation Maps in Visual Cortex
Udo Ernst, Klaus Pawelzik, Misha Tsodyks, Terrence J. Sejnowski
Neural Computation (1999) 11 (2): 375–379.
View articletitled, Relation Between Retinotopical and Orientation Maps in Visual Cortex
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Letters

A Parallel Noise-Robust Algorithm to Recover Depth Information from Radial Flow Fields
F. Wörgötter, A. Cozzi, V. Gerdes
Neural Computation (1999) 11 (2): 381–416.
View articletitled, A Parallel Noise-Robust Algorithm to Recover Depth Information from Radial Flow Fields
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Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian Sources
Te-Won Lee, Mark Girolami, Terrence J. Sejnowski
Neural Computation (1999) 11 (2): 417–441.
View articletitled, Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian Sources
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Mixtures of Probabilistic Principal Component Analyzers
Michael E. Tipping, Christopher M. Bishop
Neural Computation (1999) 11 (2): 443–482.
View articletitled, Mixtures of Probabilistic Principal Component Analyzers
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Boosted Mixture of Experts: An Ensemble Learning Scheme
Ran Avnimelech, Nathan Intrator
Neural Computation (1999) 11 (2): 483–497.
View articletitled, Boosted Mixture of Experts: An Ensemble Learning Scheme
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Boosting Regression Estimators
Ran Avnimelech, Nathan Intrator
Neural Computation (1999) 11 (2): 499–520.
View articletitled, Boosting Regression Estimators
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An On-Line Agglomerative Clustering Method for Nonstationary Data
Isaac David Guedalia, Mickey London, Michael Werman
Neural Computation (1999) 11 (2): 521–540.
View articletitled, An On-Line Agglomerative Clustering Method for Nonstationary Data
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Hidden Neural Networks
Anders Krogh, Søren Kamaric Riis
Neural Computation (1999) 11 (2): 541–563.
View articletitled, Hidden Neural Networks
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