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Volume 14, Issue 8
August 2002
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Article

Training Products of Experts by Minimizing Contrastive Divergence
Geoffrey E. Hinton
Neural Computation (2002) 14 (8): 1771–1800.
View articletitled, Training Products of Experts by Minimizing Contrastive Divergence
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Letters

Dynamic Approximation of Spatiotemporal Receptive Fields in Nonlinear Neural Field Models
Thomas Wennekers
Neural Computation (2002) 14 (8): 1801–1825.
View articletitled, Dynamic Approximation of Spatiotemporal Receptive Fields in Nonlinear Neural Field Models
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Independent Components of Magnetoencephalography: Localization
Akaysha C. Tang, Barak A. Pearlmutter, Natalie A. Malaszenko, Dan B. Phung, Bethany C. Reeb
Neural Computation (2002) 14 (8): 1827–1858.
View articletitled, Independent Components of Magnetoencephalography: Localization
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Robust Blind Source Separation by Beta Divergence
Minami Mihoko, Shinto Eguchi
Neural Computation (2002) 14 (8): 1859–1886.
View articletitled, Robust Blind Source Separation by Beta Divergence
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Joint Entropy Maximization in Kernel-Based Topographic Maps
Marc M. Van Hulle
Neural Computation (2002) 14 (8): 1887–1906.
View articletitled, Joint Entropy Maximization in Kernel-Based Topographic Maps
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Sufficient Conditions for Error Backflow Convergence in Dynamical Recurrent Neural Networks
Alex Aussem
Neural Computation (2002) 14 (8): 1907–1927.
View articletitled, Sufficient Conditions for Error Backflow Convergence in Dynamical Recurrent Neural Networks
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Bayesian A* Tree Search with Expected O(N) Node Expansions: Applications to Road Tracking
James M. Coughlan, A. L. Yuille
Neural Computation (2002) 14 (8): 1929–1958.
View articletitled, Bayesian A* Tree Search with Expected O(N) Node Expansions: Applications to Road Tracking
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Training v-Support Vector Regression: Theory and Algorithms
Chih-Chung Chang, Chih-Jen Lin
Neural Computation (2002) 14 (8): 1959–1977.
View articletitled, Training <em>v</em>-Support Vector Regression: Theory and Algorithms
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On the Problem in Model Selection of Neural Network Regression in Overrealizable Scenario
Katsuyuki Hagiwara
Neural Computation (2002) 14 (8): 1979–2002.
View articletitled, On the Problem in Model Selection of Neural Network Regression in Overrealizable Scenario
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