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Volume 12, Issue 9
September 2000
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Article

DEA: An Architecture for Goal Planning and Classification
François Fleuret, Eric Brunet
Neural Computation (2000) 12 (9): 1987–2008.
View articletitled, DEA: An Architecture for Goal Planning and Classification
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Note

On a Fast, Compact Approximation of the Exponential Function
Gavin C. Cawley
Neural Computation (2000) 12 (9): 2009–2012.
View articletitled, On a Fast, Compact Approximation of the Exponential Function
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Letters

Bounds on Error Expectation for Support Vector Machines
V. Vapnik, O. Chapelle
Neural Computation (2000) 12 (9): 2013–2036.
View articletitled, Bounds on Error Expectation for Support Vector Machines
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A Computational Model of Lateralization and Asymmetries in Cortical Maps
Svetlana Levitan, James A. Reggia
Neural Computation (2000) 12 (9): 2037–2062.
View articletitled, A Computational Model of Lateralization and Asymmetries in Cortical Maps
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Rate Limitations of Unitary Event Analysis
A. Roy, P. N. Steinmetz, E. Niebur
Neural Computation (2000) 12 (9): 2063–2082.
View articletitled, Rate Limitations of Unitary Event Analysis
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Estimating Functions of Independent Component Analysis for Temporally Correlated Signals
Shun-ichi Amari
Neural Computation (2000) 12 (9): 2083–2107.
View articletitled, Estimating Functions of Independent Component Analysis for Temporally Correlated Signals
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SMEM Algorithm for Mixture Models
Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton
Neural Computation (2000) 12 (9): 2109–2128.
View articletitled, SMEM Algorithm for Mixture Models
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Stable Encoding of Finite-State Machines in Discrete-Time Recurrent Neural Nets with Sigmoid Units
Rafael C. Carrasco, Mikel L. Forcada, M. Ángeles Valdés-Muñoz, Ramón P. Ñeco
Neural Computation (2000) 12 (9): 2129–2174.
View articletitled, Stable Encoding of Finite-State Machines in Discrete-Time Recurrent Neural Nets with Sigmoid Units
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Approximate Maximum Entropy Joint Feature Inference Consistent with Arbitrary Lower-Order Probability Constraints: Application to Statistical Classification
David J. Miller, Lian Yan
Neural Computation (2000) 12 (9): 2175–2207.
View articletitled, Approximate Maximum Entropy Joint Feature Inference Consistent with Arbitrary Lower-Order Probability Constraints: Application to Statistical Classification
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λ-Opt Neural Approaches to Quadratic Assignment Problems
Shin Ishii, Hirotaka Niitsuma
Neural Computation (2000) 12 (9): 2209–2225.
View articletitled, λ-Opt Neural Approaches to Quadratic Assignment Problems
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