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Conferences in DBLP

Neural Information Processing Systems (NIPS) (nips)
1991 (conf/nips/1991)

  1. J. Allan Hobson, Adam N. Mamelak, Jeffrey P. Sutton
    Models Wanted: Must Fit Dimensions of Sleep and Dreaming. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:3-10 [Conf]
  2. Mark Sydorenko, Eric D. Young
    Stationarity of Synaptic Coupling Strength Between Neurons with Nonstationary Discharge Properties. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:11-18 [Conf]
  3. Peter Dayan, Geoffrey J. Goodhill
    Perturbing Hebbian Rules. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:19-26 [Conf]
  4. Robert R. de Ruyter van Steveninck, William Bialek
    Statistical Reliability of a Blowfly Movement-Sensitive Neuron. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:27-34 [Conf]
  5. Bartlett W. Mel
    The Clusteron: Toward a Simple Abstraction for a Complex Neuron. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:35-42 [Conf]
  6. Öjvind Bernander, Christof Koch, Rodney J. Douglas
    Network Activity Determines Spatio-Temporal Integration in Single Cells. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:43-50 [Conf]
  7. Anthony M. Zador, Brenda J. Claiborne, Thomas H. Brown
    Nonlinear Pattern Separation in Single Hippocampal Neurons with Active Dendritic Membrane. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:51-58 [Conf]
  8. Anthony J. Bell
    Self-organization in Real Neurons: Anti-Hebb in 'Channel Space'? [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:59-66 [Conf]
  9. Adi R. Bulsara, E. W. Jacobs, Frank Moss
    Single Neuron Model: Response to Weak Modulation in the Presence of Noise. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:67-74 [Conf]
  10. A. B. Bonds
    Dual Inhibitory Mechanisms for Definition of Receptive Field Characteristics in a Cat Striate Cortex. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:75-82 [Conf]
  11. Klaus Obermayer, Klaus Schulten, Gary G. Blasdel
    A Comparison between a Neural Network Model for the Formation of Brain Maps and Experimental Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:83-90 [Conf]
  12. Ron Keesing, David G. Stork, Carla J. Shatz
    Retinogeniculate Development: The Role of Competition and Correlated Retinal Activity. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:91-97 [Conf]
  13. James T. Buchanan
    Locomotion in a Lower Vertebrate: Studies of the Cellular Basis of Rhythmogenesis and Oscillator Coupling. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:101-108 [Conf]
  14. Kenji Doya, Shuji Yoshizawa
    Adaptive Synchronization of Neural and Physical Oscillators. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:109-116 [Conf]
  15. Heinz G. Schuster, Christof Koch
    Burst Synchronization without Frequency Locking in a Completely Solvable Neural Network Model. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:117-124 [Conf]
  16. David Horn, Marius Usher
    Oscillatory Model of Short Term Memory. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:125-132 [Conf]
  17. Patrick Haffner, Alex Waibel
    Multi-State Time Delay Networks for Continuous Speech Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:135-142 [Conf]
  18. José Carlos Príncipe, Bert de Vries, Jyh-Ming Kuo, Pedro Guedes de Oliveira
    Modeling Applications with the Focused Gamma Net. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:143-150 [Conf]
  19. Esther Levin, Roberto Pieraccini, Enrico Bocchieri
    Time-Warping Network: A Hybrid Framework for Speech Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:151-158 [Conf]
  20. Elliot Singer, Richard Lippmann
    Improved Hidden Markov Models Speech Recognition Using Radial Basis Function Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:159-166 [Conf]
  21. Steve Renals, Nelson Morgan, Hervé Bourlard, Horacio Franco, Michael Cohen
    Connectionist Optimisation of Tied Mixture Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:167-174 [Conf]
  22. Yoshua Bengio, Renato de Mori, Giovanni Flammia, Ralf Kompe
    Neural Network - Gaussian Mixture Hybrid for Speech Recognition or Density Estimation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:175-182 [Conf]
  23. Alex Waibel, Ajay N. Jain, Arthur E. McNair, Joe Tebelskis, Louise Osterholtz, Hiroaki Saito, Otto Schmidbauer, Tilo Sloboda, Monika Woszczyna
    JANUS: Speech-to-Speech Translation Using Connectionist and Non-Connectionist Techniques. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:183-190 [Conf]
  24. Makoto Hirayama, Eric Vatikiotis-Bateson, Mitsuo Kawato, Michael I. Jordan
    Forward Dynamics Modeling of Speech Motor Control Using Physiological Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:191-198 [Conf]
  25. Mark A. Fanty, Ronald Cole, Krist Roginski
    English Alphabet Recognition with Telephone Speech. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:199-206 [Conf]
  26. Ajay N. Jain
    Generalization Performance in PARSEC - A Structured Connectionist Parsing Architecture. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:209-216 [Conf]
  27. Gadi Pinkus
    Constructing Proofs in Symmetric Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:217-224 [Conf]
  28. Prahlad Gupta, David S. Touretzky
    A Connectionist Learning Approach to Analyzing Linguistic Stress. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:225-232 [Conf]
  29. Ronald A. Sumida, Michael G. Dyer
    Propagation Filters in PDS Networks for Sequencing and Ambiguity Resolution. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:233-240 [Conf]
  30. Yeshwant K. Muthusamy, Ronald Cole
    A Segment-Based Automatic Language Identification System. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:241-248 [Conf]
  31. Satinder P. Singh
    The Efficient Learning of Multiple Task Sequences. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:251-258 [Conf]
  32. Gerald Tesauro
    Practical Issues in Temporal Difference Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:259-266 [Conf]
  33. Hermann Hild, Johannes Feulner, Wolfram Menzel
    HARMONET: A Neural Net for Harmonizing Chorales in the Style of J. S. Bach. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:267-274 [Conf]
  34. Michael Mozer
    Induction of Multiscale Temporal Structure. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:275-282 [Conf]
  35. Jeffrey P. Sutton, Adam N. Mamelak, J. Allan Hobson
    Network Model of State-Dependent Sequencing. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:283-290 [Conf]
  36. Jürgen Schmidhuber
    Learning Unambiguous Reduced Sequence Descriptions. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:291-298 [Conf]
  37. Jerome Connor, Les E. Atlas, Douglas R. Martin
    Recurrent Networks and NARMA Modeling. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:301-308 [Conf]
  38. Raymond L. Watrous, Gary M. Kuhn
    Induction of Finite-State Automata Using Second-Order Recurrent Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:309-317 [Conf]
  39. C. Lee Giles, Clifford B. Miller, D. Chen, Guo-Zheng Sun, H. H. Chen, Y. C. Lee
    Extracting and Learning an Unknown Grammar with Recurrent Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:317-324 [Conf]
  40. Janet Wiles, Anthony Bloesch
    Operators and Curried Functions: Training and Analysis of Simple Recurrent Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:325-332 [Conf]
  41. Guo-Zheng Sun, Hsing-Hen Chen, Yee-Chun Lee
    Green's Function Method for Fast On-Line Learning Algorithm of Recurrent Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:333-340 [Conf]
  42. Trent E. Lange
    Dynamically-Adaptive Winner-Take-All Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:341-348 [Conf]
  43. David A. Robinson
    Information Processing to Create Eye Movements. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:351-355 [Conf]
  44. Emad N. Eskandar, Barry J. Richmond, John A. Hertz, Lance M. Optican, Troels W. Kjær
    Decoding of Neuronal Signals in Visual Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:356-363 [Conf]
  45. Davi Geiger, Ricardo A. Marques Pereira
    Learning How to Teach or Selecting Minimal Surface Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:364-371 [Conf]
  46. Suzanna Becker, Geoffrey E. Hinton
    Learning to Make Coherent Predictions in Domains with Discontinuities. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:372-379 [Conf]
  47. Paul A. Viola, Stephen G. Lisberger, Terrence J. Sejnowski
    Recurrent Eye Tracking Network Using a Distributed Representation of Image Motion. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:380-387 [Conf]
  48. Trevor Darrell, Alex Pentland
    Against Edges: Function Approximation with Multiple Support Maps. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:388-395 [Conf]
  49. Paul R. Cooper, Peter N. Prokopowicz
    Markov Random Fields Can Bridge Levels of Abstraction. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:396-403 [Conf]
  50. Amnon Shashua
    Illumination and View Position in 3D Visual Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:404-411 [Conf]
  51. Alexandre Pouget, Stephen A. Fisher, Terrence J. Sejnowski
    Hierarchical Transformation of Space in the Visual System. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:412-419 [Conf]
  52. Subutai Ahmad
    VISIT: A Neural Model of Covert Visual Attention. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:420-427 [Conf]
  53. Eric Mjolsness
    Visual Grammars and Their Neural Nets. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:428-435 [Conf]
  54. Michael Mozer, Richard S. Zemel, Marlene Behrmann
    Learning to Segment Images Using Dynamic Feature Binding. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:436-443 [Conf]
  55. Hayit Greenspan, Rodney M. Goodman, Rama Chellappa
    Combined Neural Network and Rule-Based Framework for Probabilistic Pattern Recognition and Discovery. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:444-451 [Conf]
  56. Ronen Basri, Shimon Ullman
    Linear Operator for Object Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:452-459 [Conf]
  57. Nathan Intrator, Josh I. Gold, Heinrich H. Bülthoff, Shimon Edelman
    3D Object Recognition Using Unsupervised Feature Extraction. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:460-467 [Conf]
  58. Isabelle Guyon, Vladimir Vapnik, Bernhard E. Boser, Léon Bottou, Sara A. Solla
    Structural Risk Minimization for Character Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:471-479 [Conf]
  59. Hans Peter Graf, Craig R. Nohl, Jan Ben
    Image Segmentation with Networks of Variable States. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:480-487 [Conf]
  60. Ofer Matan, Christopher J. C. Burges, Yann LeCun, John S. Denker
    Multi-Digit Recognition Using a Space Displacement Neural Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:488-495 [Conf]
  61. James D. Keeler, David E. Rumelhart
    A Self-Organizing Integrated Segmentation and Recognition Neural Net. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:496-503 [Conf]
  62. Gale Martin, Mosfeq Rashid
    Recognizing Overlapping Hand-Printed Characters by Centered-Object Integrated Segmentation and Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:504-511 [Conf]
  63. Geoffrey E. Hinton, Christopher K. I. Williams, Michael Revow
    Adaptive Elastic Models for Hand-Printed Character Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:512-519 [Conf]
  64. Tony J. Prescott, John E. W. Mayhew
    Obstacle Avoidance through Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:523-530 [Conf]
  65. Sebastian Thrun, Knut Möller
    Active Exploration in Dynamic Environments. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:531-538 [Conf]
  66. Michael D. Lemmon
    Oscillatory Neural Fields for Globally Optimal Path Planning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:539-546 [Conf]
  67. Hiroaki Gomi, Mitsuo Kawato
    Recognition of Manipulated Objects by Motor Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:547-554 [Conf]
  68. Gary M. Scott, Jude W. Shavlik, W. Harmon Ray
    Refined PID Controllers Using Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:555-562 [Conf]
  69. Carlos D. Brody
    Fast Learning with Predictive Forward Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:563-570 [Conf]
  70. Andrew W. Moore
    Fast, Robust Adaptive Control by Learning only Forward Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:571-578 [Conf]
  71. Patrice Simard, Yann LeCun
    Reverse TDNN: An Architecture For Trajectory Generation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:579-588 [Conf]
  72. David DeMers, Kenneth Kreutz-Delgado
    Learning Global Direct Inverse Kinematics. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:589-595 [Conf]
  73. Paul Dean, John E. W. Mayhew, Pat Langdon
    A Neural Net Model for Adaptive Control of Saccadic Accuracy by Primate Cerebellum and Brainstem. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:595-602 [Conf]
  74. Thomas J. Anastasio
    Learning in the Vestibular System: Simulations of Vestibular Compensation Using Recurrent Back-Propagation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:603-610 [Conf]
  75. N. E. Berthier, Satinder P. Singh, Andrew G. Barto, James C. Houk
    A Cortico-Cerebellar Model that Learns to Generate Distributed Motor Commands to Control a Kinematic Arm. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:611-618 [Conf]
  76. Ealan A. Henis, Tamar Flash
    A Computational Mechanism to Account for Averaged Modified Hand Trajectories. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:619-626 [Conf]
  77. Menashe Dornay, Yoji Uno, Mitsuo Kawato, Ryoji Suzuki
    Simulation of Optimal Movements Using the Minimum-Muscle-Tension-Change Model. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:627-634 [Conf]
  78. Marwan A. Jabri, Stephen Pickard, P. Leong, Z. Chi, Barry Flower, Y. Xie
    ANN Board Classification for Heart Defibrillators. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:637-644 [Conf]
  79. Armando Manduca, Paul Christy, Richard L. Ehman
    Neural Network Diagnosis of Avascular Necrosis from Magnetic Resonance Images. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:645-650 [Conf]
  80. Rita Venturini, William W. Lytton, Terrence J. Sejnowski
    Neural Network Analysis of Event Related Potentials and Electroencephalogram Predicts Vigilance. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:651-658 [Conf]
  81. Martin Röscheisen, Reimar Hofmann, Volker Tresp
    Neural Control for Rolling Mills: Incorporating Domain Theories to Overcome Data Deficiency. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:659-666 [Conf]
  82. Padhraic Smyth, Jeff Mellstrom
    Fault Diagnosis of Antenna Pointing Systems Using Hybrid Neural Network and Signal Processing Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:667-674 [Conf]
  83. Sylvie Thiria, Carlos Mejia, Fouad Badran, Michel Crépon
    Multimodular Architecture fir Remote Sensing Options. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:675-682 [Conf]
  84. John E. Moody, Joachim Utans
    Principled Architecture Selection for Neural Networks: Application to Corporate Bond Rating Prediction. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:683-690 [Conf]
  85. Sheri L. Gish, Mario Blaum
    Adaptive Development of Connectionist Decoders for Complex Error-Correcting Codes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:691-697 [Conf]
  86. Ah Chung Tsoi
    Application of Neural Network Methodology to the Modelling of the Yield Strength in a Steel Rolling Plate Mill. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:698-705 [Conf]
  87. Donald T. Freeman
    Computer Recognition of Wave Location in Graphical Data by a Neural Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:706-713 [Conf]
  88. Hilary Tunley
    A Neural Network for Motion Detection of Drift-Balanced Stimuli. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:714-721 [Conf]
  89. Mark W. Goudreau, C. Lee Giles
    Neural Network Routing for Random Multistage Interconnection Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:722-729 [Conf]
  90. John C. Platt, Federico Faggin
    Networks for the Separation of Sources that Are Superimposed and Delayed. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:730-737 [Conf]
  91. Alice M. Chiang, Michael L. Chuang, Jeffrey R. LaFranchise
    CCD Neural Network Processors for Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:741-747 [Conf]
  92. Charles F. Neugebauer, Amnon Yariv
    A Parallel Analog CCD/CMOS Signal Processor. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:748-755 [Conf]
  93. Ronald G. Benson, Tobi Delbrück
    Direction Selective Silicon Retina that Uses Null Inhibition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:756-763 [Conf]
  94. Kwabena Boahen, Andreas G. Andreou
    A Contrast Sensitive Silicon Retina with Reciprocal Synapses. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:764-772 [Conf]
  95. Eduard Säckinger, Bernhard E. Boser, Lawrence D. Jackel
    A Neurocomputer Board Based on the ANNA Neural Network Chip. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:773-780 [Conf]
  96. Phil Kohn, Jeff Bilmes, Nelson Morgan, James Beck
    Software for ANN Training on a Ring Array Processor. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:781-788 [Conf]
  97. David Kirk, Kurt W. Fleischer, Lloyd Watts, Alan H. Barr
    Constrained Optimization Applied to the Parameter Setting Problem for Analog Circuits. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:789-796 [Conf]
  98. John G. Harris
    Segmentation Circuits Using Constrained Optimization. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:797-804 [Conf]
  99. Marc H. Cohen, Philippe O. Pouliquen, Andreas G. Andreou
    Analog LSI Implementation of an Auto-Adaptive Network for Real-Time Separation of Independent Signals. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:805-812 [Conf]
  100. John Lazzaro
    Temporal Adaptation in a Silicon Auditory Nerve. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:813-820 [Conf]
  101. Dana Z. Anderson, Claus Benkert, Verena Hebler, Ju-Seog Jang, Don Montgomery, Mark Saffman
    Optical Implementation of a Self-Organizing Feature Extractor. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:821-828 [Conf]
  102. Vladimir Vapnik
    Principles of Risk Minimization for Learning Theory. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:831-838 [Conf]
  103. David J. C. MacKay
    Bayesian Model Comparison and Backprop Nets. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:839-846 [Conf]
  104. John E. Moody
    The Effective Number of Parameters: An Analysis of Generalization and Regularization in Nonlinear Learning Systems. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:847-854 [Conf]
  105. David Haussler, Michael J. Kearns, Manfred Opper, Robert E. Schapire
    Estimating Average-Case Learning Curves Using Bayesian, Statistical Physics and VC Dimension Methods. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:855-862 [Conf]
  106. J. Stephen Judd
    Constant-Time Loading of Shallow 1-Dimensional Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:863-870 [Conf]
  107. Joshua Alspector, Anthony Jayakumar, Stephen Luna
    Experimental Evaluation of Learning in a Neural Microsystem. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:871-878 [Conf]
  108. John Shawe-Taylor
    Threshold Network Learning in the Presence of Equivalences. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:879-886 [Conf]
  109. Barak A. Pearlmutter
    Gradient Descent: Second Order Momentum and Saturating Error. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:887-894 [Conf]
  110. Patrice Simard, Bernard Victorri, Yann LeCun, John S. Denker
    Tangent Prop - A Formalism for Specifying Selected Invariances in an Adaptive Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:895-903 [Conf]
  111. Alberto Bertoni, Paola Campadelli, Anna Morpurgo, Sandra Panizza
    Polynomial Uniform Convergence of Relative Frequencies to Probabilities. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:904-911 [Conf]
  112. Yoav Freund, David Haussler
    Unsupervised Learning of Distributions of Binary Vectors Using 2-Layer Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:912-919 [Conf]
  113. Anthony Kuh, Thomas Petsche, Ronald L. Rivest
    Incrementally Learning Time-Varying Half Planes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:920-927 [Conf]
  114. Chuanyi Ji, Demetri Psaltis
    The VC-Dimension versus the Statistical Capacity of Multilayer Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:928-935 [Conf]
  115. Ying Zhao, Christopher G. Atkeson
    Some Approximation Properties of Projection Pursuit Learning Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:936-943 [Conf]
  116. Kai-Yeung Siu, Jehoshua Bruck
    Neural Computing with Small Weights. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:944-949 [Conf]
  117. Anders Krogh, John A. Hertz
    A Simple Weight Decay Can Improve Generalization. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:950-957 [Conf]
  118. Stephen M. Omohundro
    Best-First Model Merging for Dynamic Learning and Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:958-965 [Conf]
  119. Clayton McMillan, Michael Mozer, Paul Smolensky
    Rule Induction through Integrated Symbolic and Subsymbolic Processing. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:969-976 [Conf]
  120. Geoffrey G. Towell, Jude W. Shavlik
    Interpretation of Artificial Neural Networks: Mapping Knowledge-Based Neural Networks into Rules. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:977-984 [Conf]
  121. Michael I. Jordan, Robert A. Jacobs
    Hierarchies of Adaptive Experts. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:985-992 [Conf]
  122. Steven J. Nowlan, Geoffrey E. Hinton
    Adaptive Soft Weight Tying using Gaussian Mixtures. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:993-1000 [Conf]
  123. Paul W. Munro
    Repeat Until Bored: A Pattern Selection Strategy. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:1001-1008 [Conf]
  124. Christian Darken, John E. Moody
    Towards Faster Stochastic Gradient Search. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:1009-1016 [Conf]
  125. Nicol N. Schraudolph, Terrence J. Sejnowski
    Competitive Anti-Hebbian Learning of Invariants. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:1017-1024 [Conf]
  126. Paul E. Stolorz
    Merging Constrained Optimisation with Deterministic Annealing to Solve Combinatorially Hard Problems. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:1025-1032 [Conf]
  127. Petri Koistinen, Lasse Holmström
    Kernel Regression and Backpropagation Training With Noise. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:1033-1039 [Conf]
  128. Robert C. Williamson, Peter L. Bartlett
    Splines, Rational Functions and Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:1040-1047 [Conf]
  129. John Moody, Norman Yarvin
    Networks with Learned Unit Response Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:1048-1055 [Conf]
  130. Nicholas J. Redding, Tom Downs
    Learning in Feedforward Networks with Nonsmooth Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:1056-1063 [Conf]
  131. Terence D. Sanger, Richard S. Sutton, Christopher J. Matheus
    Iterative Construction of Sparse Polynomial Approximations. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:1064-1071 [Conf]
  132. Mike Wynne-Jones
    Node Splitting: A Constructive Algorithm for Feed-Forward Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:1072-1079 [Conf]
  133. Sowmya Ramachandran, Lorien Y. Pratt
    Information Measure Based Skeletonisation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:1080-1087 [Conf]
  134. David Rogers
    Data Analysis Using G/Splines. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:1088-1095 [Conf]
  135. John S. Bridle, Anthony J. R. Heading, David J. C. MacKay
    Unsupervised Classifiers, Mutual Information and 'Phantom Targets'. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:1096-1101 [Conf]
  136. Martin S. Glassman
    A Network of Localized Linear Discriminants. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:1102-1109 [Conf]
  137. David J. Montana
    A Weighted Probabilistic Neural Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:1110-1117 [Conf]
  138. Igor Grebert, David G. Stork, Ron Keesing, Steve Mims
    Network Generalization for Production: Learning and Producing Styled Letterforms. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:1118-1124 [Conf]
  139. John B. Hampshire II, B. V. K. Vijaya Kumar
    Shooting Craps in Search of an Optimal Strategy for Training Connectionist Pattern Classifiers. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:1125-1132 [Conf]
  140. Dietrich Wettschereck, Thomas G. Dietterich
    Improving the Performance of Radial Basis Function Networks by Learning Center Locations. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:1133-1140 [Conf]
  141. Hans-Ulrich Bauer, Klaus Pawelzik, Theo Geisel
    A Topographic Product for the Optimization of Self-Organizing Feature Maps. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:1141-1147 [Conf]
  142. Jakob Bernasconi, Karl Gustafson
    Human and Machine 'Quick Modeling'. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:1151-1158 [Conf]
  143. Jenq-Neng Huang, Hang Li, Martin Maechler, R. Douglas Martin, Jim Schimert
    A Comparison of Projection Pursuit and Neural Network Regression Modeling. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:1159-1166 [Conf]
  144. Leonard G. C. Hamey
    Benchmarking Feed-Forward Neural Networks: Models and Measures. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:1167-1174 [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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