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Volume 17, Issue 1
January 2005
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Notes

How to Pretend That Correlated Variables Are Independent by Using Difference Observations
Christopher K. I. Williams
Neural Computation (2005) 17 (1): 1–6.
View articletitled, How to Pretend That Correlated Variables Are Independent by Using Difference Observations
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Convergence of the IRWLS Procedure to the Support Vector Machine Solution
Fernando Pérez-Cruz, Carlos Bousoño-Calzón, Antonio Artés-Rodríguez
Neural Computation (2005) 17 (1): 7–18.
View articletitled, Convergence of the IRWLS Procedure to the Support Vector Machine Solution
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Letters

Efficient Coding of Time-Relative Structure Using Spikes
Evan Smith, Michael S. Lewicki
Neural Computation (2005) 17 (1): 19–45.
View articletitled, Efficient Coding of Time-Relative Structure Using Spikes
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Bilinear Sparse Coding for Invariant Vision
David B. Grimes, Rajesh P. N. Rao
Neural Computation (2005) 17 (1): 47–73.
View articletitled, Bilinear Sparse Coding for Invariant Vision
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A Probabilistic Framework for Region-Specific Remodeling of Dendrites in Three-Dimensional Neuronal Reconstructions
Rishikesh Narayanan, Anusha Narayan, Sumantra Chattarji
Neural Computation (2005) 17 (1): 75–96.
View articletitled, A Probabilistic Framework for Region-Specific Remodeling of Dendrites in Three-Dimensional Neuronal Reconstructions
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Analysis of Cyclic Dynamics for Networks of Linear Threshold Neurons
H. J. Tang, K. C. Tan, Weinian Zhang
Neural Computation (2005) 17 (1): 97–114.
View articletitled, Analysis of Cyclic Dynamics for Networks of Linear Threshold Neurons
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Nonlinear and Noisy Extension of Independent Component Analysis: Theory and Its Application to a Pitch Sensation Model
Shin-ichi Maeda, Wen-Jie Song, Shin Ishii
Neural Computation (2005) 17 (1): 115–144.
View articletitled, Nonlinear and Noisy Extension of Independent Component Analysis: Theory and Its Application to a Pitch Sensation Model
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Online Ranking by Projecting
Koby Crammer, Yoram Singer
Neural Computation (2005) 17 (1): 145–175.
View articletitled, Online Ranking by Projecting
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On Learning Vector-Valued Functions
Charles A. Micchelli, Massimiliano Pontil
Neural Computation (2005) 17 (1): 177–204.
View articletitled, On Learning Vector-Valued Functions
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RSPOP: Rough Set–Based Pseudo Outer-Product Fuzzy Rule Identification Algorithm
Kai Keng Ang, Chai Quek
Neural Computation (2005) 17 (1): 205–243.
View articletitled, RSPOP: Rough Set–Based Pseudo Outer-Product Fuzzy Rule Identification Algorithm
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