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Conferences in DBLP

Neural Information Processing Systems (NIPS) (nips)
1989 (conf/nips/1989)

  1. James A. Simmons
    Acoustic-Imaging Computations by Echolocating Bats: Unification of Diversely-Represented Stimulus Features into Whole Images. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:2-9 [Conf]
  2. Clay Spence, John C. Pearson
    The Computation of Sound Source Evaluation in the Barn Owl. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:10-17 [Conf]
  3. Ronald M. Harris-Warrick
    Mechanisms for Neuromodulation of Biological Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:18-27 [Conf]
  4. Shawn R. Lockery, Yan Fang, Terrence J. Sejnowski
    Neural Network Analysis of Distributed Representations of Dynamical Sensory-Motor Transormations in the Leech. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:28-35 [Conf]
  5. William Bialek, Fred Rieke, Robert R. de Ruyter van Steveninck, David Warland
    Reading a Neural Code. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:36-43 [Conf]
  6. Randall D. Beer, Hillel J. Chiel
    Neural Implementation of Motivated Behavior: Feeding in an Artificial Insect. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:44-51 [Conf]
  7. Kamil A. Grajski, Michael Merzenich
    Neural Network Simulation of Somatosensory Representational Plasticity. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:52-59 [Conf]
  8. Mark E. Nelson, James M. Bower
    Computational Efficiency: A Common Organizing Principle for Parallel Computer Maps and Brain Maps? [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:60-67 [Conf]
  9. Bill Baird
    Associative Memory in a Simple Model of Oscillating Cortex. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:68-75 [Conf]
  10. Daniel M. Kammen, Christof Koch, Philip J. Holmes
    Collective Oscillations in the Visual Cortex. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:76-83 [Conf]
  11. Matthew A. Wilson, James M. Bower
    Computer Simulation of Oscillatory Behavior in Cerebral Cortical Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:84-91 [Conf]
  12. Jack D. Cowan, A. E. Friedman
    Development and Regeneration of Eye-Brain Maps: A Computational Model. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:92-99 [Conf]
  13. David Servan-Schreiber, Harry Printz, Jonathan D. Cohen
    The Effect of Catecholamines on Performance: From Unit to System Behavior. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:100-108 [Conf]
  14. Michael C. Crair, William Bialek
    Non-Boltzmann Dynamics in Networks of Spiking Neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:109-116 [Conf]
  15. Maurice Lee, James M. Bower
    A Computer Modeling Approach to Understanding the Inferior Olive and Its Relationships to the Cerebellar Cortex in Rats. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:117-124 [Conf]
  16. William R. Softky, Daniel M. Kammen
    Can Simple Cells Learn Curves? A Hebbian Model in a Structured Environment. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:125-132 [Conf]
  17. Alex Chernajvsky, John E. Moody
    Note on Development of Modularity in Simple Cortical Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:133-140 [Conf]
  18. G. T. Kenyon, Eberhard E. Fetz, R. D. Puff
    Effects of Firing Synchrony on Signal Propagation in Layered Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:141-148 [Conf]
  19. Paul C. Rhodes
    A Systematic Study of the Input/Output Properties of a 2 Compartment Model Neuron With Active Membranes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:149-159 [Conf]
  20. Dun-Sung Tang
    Analytic Solutions to the Formation of Feature-Analysing Cells of a Three-Layer Feedforward Visual Information Processing Neural Net. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:160-165 [Conf]
  21. Yuchun Lee, Richard Lippmann
    Practical Characteristics of Neural Network and Conventional Pattern Classifiers on Artificial and Speech Problems. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:168-177 [Conf]
  22. Kevin J. Lang, Geoffrey E. Hinton
    Dimensionality Reduction and Prior Knowledge in E-Set Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:178-185 [Conf]
  23. Hervé Bourlard, Nelson Morgan
    A Continuous Speech Recognition System Embedding MLP into HMM. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:186-193 [Conf]
  24. William Y. Huang, Richard Lippmann
    HMM Speech Recognition with Neural Net Discrimination. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:194-202 [Conf]
  25. John B. Hampshire II, Alex Waibel
    Connectionist Architectures for Multi-Speaker Phoneme Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:203-210 [Conf]
  26. John S. Bridle
    Training Stochastic Model Recognition Algorithms as Networks can Lead to Maximum Mutual Information Estimation of Parameters. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:211-217 [Conf]
  27. Yoshua Bengio, Renato de Mori, Régis Cardin
    Speaker Independent Speech Recognition with Neural Networks and Speech Knowledge. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:218-225 [Conf]
  28. Jim Mann
    The Effects of Circuit Integration on a Feature Map Vector Quantizer. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:226-231 [Conf]
  29. Terrence J. Sejnowski, B. Yuhas, Moise H. Goldstein Jr., R. E. Jenkins
    Combining Visual and Acoustic Speech Signals with a Neural Network Improves Intelligibility. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:232-239 [Conf]
  30. Susan Ciarrocca Lee
    Using a Translation-Invariant Neural Network to Diagnose Heart Arrhythmia. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:240-247 [Conf]
  31. Donald B. Malkoff
    A Neural Network for Real-Time Signal Processing. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:248-255 [Conf]
  32. Michael Seibert, Allen M. Waxman
    Learning Aspect Graph Representations from View Sequences. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:258-265 [Conf]
  33. Richard S. Zemel, Michael Mozer, Geoffrey E. Hinton
    TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame Transformations. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:266-273 [Conf]
  34. Daphna Weinshall, Shimon Edelman, Heinrich H. Bülthoff
    A Self-Organizing Multiple-View Representations of 3D Objects. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:274-281 [Conf]
  35. Pentti Kanerva
    Contour-Map Encoding of Shape for Early Vision. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:282-289 [Conf]
  36. Paul A. Viola
    Neurally Inspired Plasticity in Oculomotor Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:290-297 [Conf]
  37. Toshiaki Okamoto, Mitsuo Kawato, Toshio Inui, Sei Miyake
    Model Based Image Compression and Adaptive Data Representaion by Interacting Filter Banks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:298-305 [Conf]
  38. Jim Donnett, Tim Smithers
    Neuronal Group Selection Theory: A Grounding in Robotics. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:308-315 [Conf]
  39. Christopher G. Atkeson
    Using Local Models to Control Movement. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:316-323 [Conf]
  40. Michael I. Jordan, Robert A. Jacobs
    Learning to Control an Unstable System with Forward Modeling. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:324-331 [Conf]
  41. Michael Hormel
    A Self-organizing Associative Memory System for Control Applications. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:332-339 [Conf]
  42. Michael J. Carter, Franklin J. Rudolph, Adam J. Nucci
    Operational Fault Tolerance of CMAC Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:340-347 [Conf]
  43. O. Farotimi, Amir Dembo, Thomas Kailath
    Neural Network Weight Matrix Synthesis Using Optimal Control Techniques. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:348-354 [Conf]
  44. Gintaras V. Reklaitis, Athanasios G. Tsirukis, Manoel Fernando Tenorio
    Generalized Hopfield Networks and Nonlinear Optimization. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:355-362 [Conf]
  45. Ajay N. Jain, Alex Waibel
    Incremental Parsing by Modular Recurrent Connectionist Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:364-371 [Conf]
  46. David S. Touretzky, Deirdre W. Wheeler
    A Computational Basis for Phonology. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:372-379 [Conf]
  47. C. Lee Giles, Guo-Zheng Sun, H. H. Chen, Y. C. Lee, D. Chen
    Higher Order Recurrent Networks and Grammatical Inference. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:380-387 [Conf]
  48. Kurt R. Smith, Michael I. Miller
    Bayesian Inference of Regular Grammar and Markov Source Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:388-395 [Conf]
  49. 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. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:396-404 [Conf]
  50. Gale Martin, James A. Pittman
    Recognizing Hand-Printed Letters and Digits. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:405-414 [Conf]
  51. Yoshihiro Mori, Kazuki Joe
    A Large-Scale Neural Network Which Recognizes Handwritten Kanji Characters. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:415-422 [Conf]
  52. Yoshua Bengio, Samy Bengio, Yannick Pouliot, Patrick Agin
    A Neural Network to Detect Homologies in Proteins. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:423-430 [Conf]
  53. David S. Touretzky, Gillette Elvgreen III
    Rule Representations in a Connectionist Chunker. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:431-438 [Conf]
  54. Michael Mozer, Jonathan Bachrach
    Discovering the Structure of a Reactive Environment by Exploration. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:439-446 [Conf]
  55. Steven A. Harp, Tariq Samad, Aloke Guha
    Designing Application-Specific Neural Networks Using the Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:447-454 [Conf]
  56. David Rogers
    Predicting Weather Using a Genetic Memory: A Combination of Kanerva's Sparse Distributed Memory with Holland's Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:455-464 [Conf]
  57. Jakub Wejchert, Gerald Tesauro
    Neural Network Visualization. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:465-472 [Conf]
  58. Bartlett W. Mel, Christof Koch
    Sigma-Pi Learning: On Radial Basis Functions and Cortical Associative Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:474-481 [Conf]
  59. Avijit Saha, James D. Keeler
    Algorithms for Better Representation and Faster Learning in Radial Basis Function Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:482-489 [Conf]
  60. Tony Bell
    Learning in Higher-Order "Artificial Dendritic Trees". [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:490-497 [Conf]
  61. Jacob Barhen, Nikzad Benny Toomarian, Sandeep Gulati
    Adjoint Operator Algorithms for Faster Learning in Dynamical Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:498-508 [Conf]
  62. Conrad C. Galland, Geoffrey E. Hinton
    Discovering High Order Features with Mean Field Modules. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:509-515 [Conf]
  63. Tal Grossman
    The CHIR Algorithm for Feed Forward Networks with Binary Weights. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:516-523 [Conf]
  64. Scott E. Fahlman, Christian Lebiere
    The Cascade-Correlation Learning Architecture. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:524-532 [Conf]
  65. Stephen Jose Hanson
    Meiosis Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:533-541 [Conf]
  66. John Kassebaum, Manoel Fernando Tenorio, Christoph Schaefers
    The Cocktail Party Problem: Speech/Data Signal Separation Comparison between Backpropagation and SONN. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:542-549 [Conf]
  67. David H. Ackley, Michael L. Littman
    Generalization and Scaling in Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:550-557 [Conf]
  68. Richard Rohwer
    The "Moving Targets" Training Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:558-565 [Conf]
  69. Les E. Atlas, David A. Cohn, Richard E. Ladner
    Training Connectionist Networks with Queries and Selective Sampling. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:566-573 [Conf]
  70. Steven J. Nowlan
    Maximum Likelihood Competitive Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:574-582 [Conf]
  71. Michail Zak, Nikzad Benny Toomarian
    Unsupervised Learning in Neurodynamics Using the Phase Velocity Field Approach. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:583-589 [Conf]
  72. Amir F. Atiya, Yaser S. Abu-Mostafa
    A Method for the Associative Storage of Analog Vectors. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:590-595 [Conf]
  73. Yann LeCun, John S. Denker, Sara A. Solla
    Optimal Brain Damage. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:598-605 [Conf]
  74. Subutai Ahmad, Gerald Tesauro, Yu He
    Asymptotic Convergence of Backpropagation: Numerical Experiments. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:606-613 [Conf]
  75. Sheri L. Gish, W. E. Blanz
    Comparing the Performance of Connectionist and Statistical Classifiers on an Image Segmentation Problem. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:614-621 [Conf]
  76. 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. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:622-629 [Conf]
  77. Nelson Morgan, Hervé Bourlard
    Generalization and Parameter Estimation in Feedforward Netws: Some Experiments. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:630-637 [Conf]
  78. David Zipser
    Subgrouping Reduces Complexity and Speeds Up Learning in Recurrent Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:638-641 [Conf]
  79. Yves Chauvin
    Dynamic Behavior of Constained Back-Propagation Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:642-649 [Conf]
  80. William P. Lincoln, Josef Skrzypek
    Synergy of Clustering Multiple Back Propagation Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:650-657 [Conf]
  81. Davi Geiger, Federico Girosi
    Coupled Markov Random Fields and Mean Field Theory. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:660-667 [Conf]
  82. Amir Dembo, Kai-Yeung Siu, Thomas Kailath
    Complexity of Finite Precision Neural Network Classifier. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:668-675 [Conf]
  83. Eric B. Baum
    The Perceptron Algorithm Is Fast for Non-Malicious Distributions. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:676-685 [Conf]
  84. Andrew G. Barto, Richard S. Sutton, Christopher J. C. H. Watkins
    Sequential Decision Probelms and Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:686-693 [Conf]
  85. David J. C. MacKay, Kenneth D. Miller
    Analysis of Linsker's Simulations of Hebbian Rules. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:694-701 [Conf]
  86. Zoran Obradovic, Ian Parberry
    Analog Neural Networks of Limited Precision I: Computing with Multilinear Threshold Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:702-709 [Conf]
  87. Fernando J. Pineda
    Time Dependent Adaptive Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:710-718 [Conf]
  88. Nathan Intrator
    A Neural Network for Feature Extraction. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:719-726 [Conf]
  89. Pierre Baldi, Yosef Rinott, Charles Stein
    On the Distribution of the Number of Local Minima of a Random Function on a Graph. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:727-732 [Conf]
  90. Anders Krogh, C. I. Thorbergsson, John A. Hertz
    A Cost Function for Internal Representations. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:733-740 [Conf]
  91. Stephen P. DeWeerth, Carver Mead
    An Analog VLSI Model of Adaptation in the Vestibulo-Ocular Reflex. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:742-749 [Conf]
  92. Christof Koch, Wyeth Bair, John G. Harris, Timothy K. Horiuchi, Andrew Hsu, Jin Luo
    Real-Time Computer Vision and Robotics Using Analog VLSI Circuits. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:750-757 [Conf]
  93. Srinagesh Satyanarayana, Yannis P. Tsividis, Hans Peter Graf
    A Reconfigurable Analog VLSI Neural Network Chip. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:758-768 [Conf]
  94. Alexander Moopenn, T. Duong, A. P. Thakoor
    Digital-Analog Hybrid Synapse Chips for Electronic Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:769-776 [Conf]
  95. John C. Platt
    Analog Circuits for Constrained Optimization. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:777-784 [Conf]
  96. Michael Brownlow, Lionel Tarassenko, Alan F. Murray, Alister Hamilton, Il Song Han, H. Martin Reekie
    Pulse-Firing Neural Chips for Hundreds of Neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:785-792 [Conf]
  97. Tzi-Dar Chiueh, Rodney M. Goodman
    VLSI Implementation of a High-Capacity Neural Network Associative Memory. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:793-800 [Conf]
  98. Xiru Zhang, Michael McKenna, Jill P. Mesirov, David L. Waltz
    An Efficient Implementation of the Back-propagation Algorithm on the Connection Machine CM-2. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:801-809 [Conf]
  99. Fernando J. Nuñez, José A. B. Fortes
    Performance of Connectionist Learning Algorithms on 2-D SIMD Processor Arrays. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:810-817 [Conf]
  100. Ira Smotroff
    Dataflow Architectures: Flexible Platforms for Neural Network Simulation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:818-825 [Conf]
  101. Jack D. Cowan
    Neural Networks: The Early Days. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:828-842 [Conf]
NOTICE1
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NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
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