NIPS 1989:
Denver,
CO,
USA
David 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 BibTeX
@proceedings{DBLP:conf/nips/1989,
editor = {David S. Touretzky},
title = {Advances in Neural Information Processing Systems 2, [NIPS Conference,
Denver, Colorado, USA, November 27-30, 1989]},
booktitle = {NIPS},
publisher = {Morgan Kaufmann},
year = {1990},
isbn = {1-55860-100-7},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Part 1:
Neuroscience
- James A. Simmons:
Acoustic-Imaging Computations by Echolocating Bats: Unification of Diversely-Represented Stimulus Features into Whole Images.
2-9
Electronic Edition (link) BibTeX
- Clay Spence, John C. Pearson:
The Computation of Sound Source Evaluation in the Barn Owl.
10-17
Electronic Edition (link) BibTeX
- Ronald M. Harris-Warrick:
Mechanisms for Neuromodulation of Biological Neural Networks.
18-27
Electronic Edition (link) BibTeX
- Shawn R. Lockery, Yan Fang, Terrence J. Sejnowski:
Neural Network Analysis of Distributed Representations of Dynamical Sensory-Motor Transormations in the Leech.
28-35
Electronic Edition (link) BibTeX
- William Bialek, Fred Rieke, Robert R. de Ruyter van Steveninck, David Warland:
Reading a Neural Code.
36-43
Electronic Edition (link) BibTeX
- Randall D. Beer, Hillel J. Chiel:
Neural Implementation of Motivated Behavior: Feeding in an Artificial Insect.
44-51
Electronic Edition (link) BibTeX
- Kamil A. Grajski, Michael Merzenich:
Neural Network Simulation of Somatosensory Representational Plasticity.
52-59
Electronic Edition (link) BibTeX
- Mark E. Nelson, James M. Bower:
Computational Efficiency: A Common Organizing Principle for Parallel Computer Maps and Brain Maps?
60-67
Electronic Edition (link) BibTeX
- Bill Baird:
Associative Memory in a Simple Model of Oscillating Cortex.
68-75
Electronic Edition (link) BibTeX
- Daniel M. Kammen, Christof Koch, Philip J. Holmes:
Collective Oscillations in the Visual Cortex.
76-83
Electronic Edition (link) BibTeX
- Matthew A. Wilson, James M. Bower:
Computer Simulation of Oscillatory Behavior in Cerebral Cortical Networks.
84-91
Electronic Edition (link) BibTeX
- Jack D. Cowan, A. E. Friedman:
Development and Regeneration of Eye-Brain Maps: A Computational Model.
92-99
Electronic Edition (link) BibTeX
- David Servan-Schreiber, Harry Printz, Jonathan D. Cohen:
The Effect of Catecholamines on Performance: From Unit to System Behavior.
100-108
Electronic Edition (link) BibTeX
- Michael C. Crair, William Bialek:
Non-Boltzmann Dynamics in Networks of Spiking Neurons.
109-116
Electronic Edition (link) BibTeX
- 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
Electronic Edition (link) BibTeX
- William R. Softky, Daniel M. Kammen:
Can Simple Cells Learn Curves? A Hebbian Model in a Structured Environment.
125-132
Electronic Edition (link) BibTeX
- Alex Chernajvsky, John E. Moody:
Note on Development of Modularity in Simple Cortical Models.
133-140
Electronic Edition (link) BibTeX
- G. T. Kenyon, Eberhard E. Fetz, R. D. Puff:
Effects of Firing Synchrony on Signal Propagation in Layered Networks.
141-148
Electronic Edition (link) BibTeX
- Paul C. Rhodes:
A Systematic Study of the Input/Output Properties of a 2 Compartment Model Neuron With Active Membranes.
149-159
Electronic Edition (link) BibTeX
- Dun-Sung Tang:
Analytic Solutions to the Formation of Feature-Analysing Cells of a Three-Layer Feedforward Visual Information Processing Neural Net.
160-165
Electronic Edition (link) BibTeX
Part 2:
Speech and Signal Processing
- Yuchun Lee, Richard Lippmann:
Practical Characteristics of Neural Network and Conventional Pattern Classifiers on Artificial and Speech Problems.
168-177
Electronic Edition (link) BibTeX
- Kevin J. Lang, Geoffrey E. Hinton:
Dimensionality Reduction and Prior Knowledge in E-Set Recognition.
178-185
Electronic Edition (link) BibTeX
- Hervé Bourlard, Nelson Morgan:
A Continuous Speech Recognition System Embedding MLP into HMM.
186-193
Electronic Edition (link) BibTeX
- William Y. Huang, Richard Lippmann:
HMM Speech Recognition with Neural Net Discrimination.
194-202
Electronic Edition (link) BibTeX
- John B. Hampshire II, Alex Waibel:
Connectionist Architectures for Multi-Speaker Phoneme Recognition.
203-210
Electronic Edition (link) BibTeX
- John S. Bridle:
Training Stochastic Model Recognition Algorithms as Networks can Lead to Maximum Mutual Information Estimation of Parameters.
211-217
Electronic Edition (link) BibTeX
- Yoshua Bengio, Renato de Mori, Régis Cardin:
Speaker Independent Speech Recognition with Neural Networks and Speech Knowledge.
218-225
Electronic Edition (link) BibTeX
- Jim Mann:
The Effects of Circuit Integration on a Feature Map Vector Quantizer.
226-231
Electronic Edition (link) BibTeX
- Terrence J. Sejnowski, B. Yuhas, Moise H. Goldstein Jr., R. E. Jenkins:
Combining Visual and Acoustic Speech Signals with a Neural Network Improves Intelligibility.
232-239
Electronic Edition (link) BibTeX
- Susan Ciarrocca Lee:
Using a Translation-Invariant Neural Network to Diagnose Heart Arrhythmia.
240-247
Electronic Edition (link) BibTeX
- Donald B. Malkoff:
A Neural Network for Real-Time Signal Processing.
248-255
Electronic Edition (link) BibTeX
Part 3:
Vision
Part 4:
Optimization and Control
Part 5:
Other Applications
- Ajay N. Jain, Alex Waibel:
Incremental Parsing by Modular Recurrent Connectionist Networks.
364-371
Electronic Edition (link) BibTeX
- David S. Touretzky, Deirdre W. Wheeler:
A Computational Basis for Phonology.
372-379
Electronic Edition (link) BibTeX
- C. Lee Giles, Guo-Zheng Sun, H. H. Chen, Y. C. Lee, D. Chen:
Higher Order Recurrent Networks and Grammatical Inference.
380-387
Electronic Edition (link) BibTeX
- Kurt R. Smith, Michael I. Miller:
Bayesian Inference of Regular Grammar and Markov Source Models.
388-395
Electronic Edition (link) BibTeX
- Yann LeCun, Bernhard E. Boser, John S. Denker, Donnie Henderson, R. E. Howard, Wayne E. Hubbard, Lawrence D. Jackel:
Handwritten Digit Recognition with a Back-Propagation Network.
396-404
Electronic Edition (link) BibTeX
- Gale Martin, James A. Pittman:
Recognizing Hand-Printed Letters and Digits.
405-414
Electronic Edition (link) BibTeX
- Yoshihiro Mori, Kazuki Joe:
A Large-Scale Neural Network Which Recognizes Handwritten Kanji Characters.
415-422
Electronic Edition (link) BibTeX
- Yoshua Bengio, Samy Bengio, Yannick Pouliot, Patrick Agin:
A Neural Network to Detect Homologies in Proteins.
423-430
Electronic Edition (link) BibTeX
- David S. Touretzky, Gillette Elvgreen III:
Rule Representations in a Connectionist Chunker.
431-438
Electronic Edition (link) BibTeX
- Michael Mozer, Jonathan Bachrach:
Discovering the Structure of a Reactive Environment by Exploration.
439-446
Electronic Edition (link) BibTeX
- Steven A. Harp, Tariq Samad, Aloke Guha:
Designing Application-Specific Neural Networks Using the Genetic Algorithm.
447-454
Electronic Edition (link) BibTeX
- David Rogers:
Predicting Weather Using a Genetic Memory: A Combination of Kanerva's Sparse Distributed Memory with Holland's Genetic Algorithms.
455-464
Electronic Edition (link) BibTeX
- Jakub Wejchert, Gerald Tesauro:
Neural Network Visualization.
465-472
Electronic Edition (link) BibTeX
Part 6:
New Learning Algorithms
- Bartlett W. Mel, Christof Koch:
Sigma-Pi Learning: On Radial Basis Functions and Cortical Associative Learning.
474-481
Electronic Edition (link) BibTeX
- Avijit Saha, James D. Keeler:
Algorithms for Better Representation and Faster Learning in Radial Basis Function Networks.
482-489
Electronic Edition (link) BibTeX
- Tony Bell:
Learning in Higher-Order "Artificial Dendritic Trees".
490-497
Electronic Edition (link) BibTeX
- Jacob Barhen, Nikzad Benny Toomarian, Sandeep Gulati:
Adjoint Operator Algorithms for Faster Learning in Dynamical Neural Networks.
498-508
Electronic Edition (link) BibTeX
- Conrad C. Galland, Geoffrey E. Hinton:
Discovering High Order Features with Mean Field Modules.
509-515
Electronic Edition (link) BibTeX
- Tal Grossman:
The CHIR Algorithm for Feed Forward Networks with Binary Weights.
516-523
Electronic Edition (link) BibTeX
- Scott E. Fahlman, Christian Lebiere:
The Cascade-Correlation Learning Architecture.
524-532
Electronic Edition (link) BibTeX
- Stephen Jose Hanson:
Meiosis Networks.
533-541
Electronic Edition (link) BibTeX
- John Kassebaum, Manoel Fernando Tenorio, Christoph Schaefers:
The Cocktail Party Problem: Speech/Data Signal Separation Comparison between Backpropagation and SONN.
542-549
Electronic Edition (link) BibTeX
- David H. Ackley, Michael L. Littman:
Generalization and Scaling in Reinforcement Learning.
550-557
Electronic Edition (link) BibTeX
- Richard Rohwer:
The "Moving Targets" Training Algorithm.
558-565
Electronic Edition (link) BibTeX
- Les E. Atlas, David A. Cohn, Richard E. Ladner:
Training Connectionist Networks with Queries and Selective Sampling.
566-573
Electronic Edition (link) BibTeX
- Steven J. Nowlan:
Maximum Likelihood Competitive Learning.
574-582
Electronic Edition (link) BibTeX
- Michail Zak, Nikzad Benny Toomarian:
Unsupervised Learning in Neurodynamics Using the Phase Velocity Field Approach.
583-589
Electronic Edition (link) BibTeX
- Amir F. Atiya, Yaser S. Abu-Mostafa:
A Method for the Associative Storage of Analog Vectors.
590-595
Electronic Edition (link) BibTeX
Part 7:
Empirical Analyses
- Yann LeCun, John S. Denker, Sara A. Solla:
Optimal Brain Damage.
598-605
Electronic Edition (link) BibTeX
- Subutai Ahmad, Gerald Tesauro, Yu He:
Asymptotic Convergence of Backpropagation: Numerical Experiments.
606-613
Electronic Edition (link) BibTeX
- Sheri L. Gish, W. E. Blanz:
Comparing the Performance of Connectionist and Statistical Classifiers on an Image Segmentation Problem.
614-621
Electronic Edition (link) BibTeX
- Les E. Atlas, Ronald Coe, Jerome Connor, Mohamed A. El-Sharkawi, Robert J. Marks II, Yeshwant Muthusamy, Etienne Barnard:
Performance Comparisons Between Backpropagation Networks and Classification Trees on Three Real-World Applications.
622-629
Electronic Edition (link) BibTeX
- Nelson Morgan, Hervé Bourlard:
Generalization and Parameter Estimation in Feedforward Netws: Some Experiments.
630-637
Electronic Edition (link) BibTeX
- David Zipser:
Subgrouping Reduces Complexity and Speeds Up Learning in Recurrent Networks.
638-641
Electronic Edition (link) BibTeX
- Yves Chauvin:
Dynamic Behavior of Constained Back-Propagation Networks.
642-649
Electronic Edition (link) BibTeX
- William P. Lincoln, Josef Skrzypek:
Synergy of Clustering Multiple Back Propagation Networks.
650-657
Electronic Edition (link) BibTeX
Part 8:
Theoretical Analyses
- Davi Geiger, Federico Girosi:
Coupled Markov Random Fields and Mean Field Theory.
660-667
Electronic Edition (link) BibTeX
- Amir Dembo, Kai-Yeung Siu, Thomas Kailath:
Complexity of Finite Precision Neural Network Classifier.
668-675
Electronic Edition (link) BibTeX
- Eric B. Baum:
The Perceptron Algorithm Is Fast for Non-Malicious Distributions.
676-685
Electronic Edition (link) BibTeX
- Andrew G. Barto, Richard S. Sutton, Christopher J. C. H. Watkins:
Sequential Decision Probelms and Neural Networks.
686-693
Electronic Edition (link) BibTeX
- David J. C. MacKay, Kenneth D. Miller:
Analysis of Linsker's Simulations of Hebbian Rules.
694-701
Electronic Edition (link) BibTeX
- Zoran Obradovic, Ian Parberry:
Analog Neural Networks of Limited Precision I: Computing with Multilinear Threshold Functions.
702-709
Electronic Edition (link) BibTeX
- Fernando J. Pineda:
Time Dependent Adaptive Neural Networks.
710-718
Electronic Edition (link) BibTeX
- Nathan Intrator:
A Neural Network for Feature Extraction.
719-726
Electronic Edition (link) BibTeX
- Pierre Baldi, Yosef Rinott, Charles Stein:
On the Distribution of the Number of Local Minima of a Random Function on a Graph.
727-732
Electronic Edition (link) BibTeX
- Anders Krogh, C. I. Thorbergsson, John A. Hertz:
A Cost Function for Internal Representations.
733-740
Electronic Edition (link) BibTeX
Part 9:
Hardware Implementation
- Stephen P. DeWeerth, Carver Mead:
An Analog VLSI Model of Adaptation in the Vestibulo-Ocular Reflex.
742-749
Electronic Edition (link) BibTeX
- Christof Koch, Wyeth Bair, John G. Harris, Timothy K. Horiuchi, Andrew Hsu, Jin Luo:
Real-Time Computer Vision and Robotics Using Analog VLSI Circuits.
750-757
Electronic Edition (link) BibTeX
- Srinagesh Satyanarayana, Yannis P. Tsividis, Hans Peter Graf:
A Reconfigurable Analog VLSI Neural Network Chip.
758-768
Electronic Edition (link) BibTeX
- Alexander Moopenn, T. Duong, A. P. Thakoor:
Digital-Analog Hybrid Synapse Chips for Electronic Neural Networks.
769-776
Electronic Edition (link) BibTeX
- John C. Platt:
Analog Circuits for Constrained Optimization.
777-784
Electronic Edition (link) BibTeX
- Michael Brownlow, Lionel Tarassenko, Alan F. Murray, Alister Hamilton, Il Song Han, H. Martin Reekie:
Pulse-Firing Neural Chips for Hundreds of Neurons.
785-792
Electronic Edition (link) BibTeX
- Tzi-Dar Chiueh, Rodney M. Goodman:
VLSI Implementation of a High-Capacity Neural Network Associative Memory.
793-800
Electronic Edition (link) BibTeX
- Xiru Zhang, Michael McKenna, Jill P. Mesirov, David L. Waltz:
An Efficient Implementation of the Back-propagation Algorithm on the Connection Machine CM-2.
801-809
Electronic Edition (link) BibTeX
- Fernando J. Nuñez, José A. B. Fortes:
Performance of Connectionist Learning Algorithms on 2-D SIMD Processor Arrays.
810-817
Electronic Edition (link) BibTeX
- Ira Smotroff:
Dataflow Architectures: Flexible Platforms for Neural Network Simulation.
818-825
Electronic Edition (link) BibTeX
Part 10:
History of Neural Networks
Copyright © Sat May 16 23:31:30 2009
by Michael Ley (ley@uni-trier.de)