NIPS 1989:
Denver, CO, USADavid S. Touretzky (Ed.):
Advances in Neural Information Processing Systems 2, [NIPS Conference, Denver, Colorado, USA, November 27-30, 1989].
Morgan Kaufmann 1990, ISBN 1-55860-100-7 Part 1:
Neuroscience
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James A. Simmons :
Acoustic-Imaging Computations by Echolocating Bats: Unification of Diversely-Represented Stimulus Features into Whole Images.
2-9
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conf/nips/Harris-Warrick89 export record as
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Bill Baird :
Associative Memory in a Simple Model of Oscillating Cortex.
68-75
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conf/nips/Servan-SchreiberPC89 export record as
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Maurice Lee ,
James M. Bower :
A Computer Modeling Approach to Understanding the Inferior Olive and Its Relationships to the Cerebellar Cortex in Rats.
117-124
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Paul C. Rhodes :
A Systematic Study of the Input/Output Properties of a 2 Compartment Model Neuron With Active Membranes.
149-159
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Dun-Sung Tang :
Analytic Solutions to the Formation of Feature-Analysing Cells of a Three-Layer Feedforward Visual Information Processing Neural Net.
160-165
Part 2:
Speech and Signal Processing
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Yuchun Lee ,
Richard Lippmann :
Practical Characteristics of Neural Network and Conventional Pattern Classifiers on Artificial and Speech Problems.
168-177
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John S. Bridle :
Training Stochastic Model Recognition Algorithms as Networks can Lead to Maximum Mutual Information Estimation of Parameters.
211-217
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Jim Mann :
The Effects of Circuit Integration on a Feature Map Vector Quantizer.
226-231
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Susan Ciarrocca Lee :
Using a Translation-Invariant Neural Network to Diagnose Heart Arrhythmia.
240-247
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Part 3:
Vision
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Pentti Kanerva :
Contour-Map Encoding of Shape for Early Vision.
282-289
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Paul A. Viola :
Neurally Inspired Plasticity in Oculomotor Processes.
290-297
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Part 4:
Optimization and Control
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Michael Hormel :
A Self-organizing Associative Memory System for Control Applications.
332-339
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Part 5:
Other Applications
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David Rogers :
Predicting Weather Using a Genetic Memory: A Combination of Kanerva's Sparse Distributed Memory with Holland's Genetic Algorithms.
455-464
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Part 6:
New Learning Algorithms
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Tony Bell :
Learning in Higher-Order "Artificial Dendritic Trees".
490-497
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Tal Grossman :
The CHIR Algorithm for Feed Forward Networks with Binary Weights.
516-523
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Part 7:
Empirical Analyses
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Sheri L. Gish ,
W. E. Blanz :
Comparing the Performance of Connectionist and Statistical Classifiers on an Image Segmentation Problem.
614-621
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David Zipser :
Subgrouping Reduces Complexity and Speeds Up Learning in Recurrent Networks.
638-641
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Yves Chauvin :
Dynamic Behavior of Constained Back-Propagation Networks.
642-649
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Part 8:
Theoretical Analyses
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Eric B. Baum :
The Perceptron Algorithm Is Fast for Non-Malicious Distributions.
676-685
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Part 9:
Hardware Implementation
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conf/nips/SatyanarayanaTG89 export record as
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John C. Platt :
Analog Circuits for Constrained Optimization.
777-784
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conf/nips/BrownlowTMHHR89 export record as
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Ira Smotroff :
Dataflow Architectures: Flexible Platforms for Neural Network Simulation.
818-825
Part 10:
History of Neural Networks
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