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Conferences in DBLP

Neural Information Processing Systems (NIPS) (nips)
1993 (conf/nips/1993)

  1. Geoffrey E. Hinton, Richard S. Zemel
    Autoencoders, Minimum Description Length and Helmholtz Free Energy. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:3-10 [Conf]
  2. Richard S. Zemel, Geoffrey E. Hinton
    Developing Population Codes by Minimizing Description Length. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:11-18 [Conf]
  3. Sreerupa Das, Michael Mozer
    A Unified Gradient-Descent/Clustering Architecture for Finite State Machine Induction. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:19-26 [Conf]
  4. Eric Saund
    Unsupervised Learning of Mixtures of Multiple Causes in Binary Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:27-34 [Conf]
  5. Asriel U. Levin, Todd K. Leen, John E. Moody
    Fast Pruning Using Principal Components. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:35-42 [Conf]
  6. Christoph Bregler, Stephen M. Omohundro
    Surface Learning with Applications to Lipreading. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:43-50 [Conf]
  7. Melanie Mitchell, John H. Holland, Stephanie Forrest
    When will a Genetic Algorithm Outperform Hill Climbing. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:51-58 [Conf]
  8. Oded Maron, Andrew W. Moore
    Hoeffding Races: Accelerating Model Selection Search for Classification and Function Approximation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:59-66 [Conf]
  9. Bill Baird, Todd Troyer, Frank H. Eeckman
    Grammatical Inference by Attentional Control of Synchronization in an Oscillating Elman Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:67-74 [Conf]
  10. Yoshua Bengio, Paolo Frasconi
    Credit Assignment through Time: Alternatives to Backpropagation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:75-82 [Conf]
  11. Javier R. Movellan
    A Local Algorithm to Learn Trajectories with Stochastic Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:83-87 [Conf]
  12. Gregory M. Saunders, Peter J. Angeline, Jordan B. Pollack
    Structural and Behavioral Evolution of Recurrent Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:88-95 [Conf]
  13. Steven Gold, Eric Mjolsness, Anand Rangarajan
    Clustering with a Domain-Specific Distance Measure. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:96-103 [Conf]
  14. Joachim M. Buhmann, Thomas Hofmann
    Central and Pairwise Data Clustering by Competitive Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:104-111 [Conf]
  15. Virginia R. de Sa
    Learning Classification with Unlabeled Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:112-119 [Conf]
  16. Zoubin Ghahramani, Michael I. Jordan
    Supervised learning from incomplete data via an EM approach. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:120-127 [Conf]
  17. Volker Tresp, Subutai Ahmad, Ralph Neuneier
    Training Neural Networks with Deficient Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:128-135 [Conf]
  18. Mats Österberg, Reiner Lenz
    Unsupervised Parallel Feature Extraction from First Principles. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:136-143 [Conf]
  19. Terence D. Sanger
    Two Iterative Algorithms for Computing the Singular Value Decomposition from Input/Output Samples. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:144-151 [Conf]
  20. Nanda Kambhatla, Todd K. Leen
    Fast Non-Linear Dimension Reduction. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:152-159 [Conf]
  21. Stefan Schaal, Christopher G. Atkeson
    Assessing the Quality of Learned Local Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:160-167 [Conf]
  22. Patrice Simard
    Efficient Computation of Complex Distance Metrics Using Hierarchical Filtering. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:168-175 [Conf]
  23. Dana Ron, Yoram Singer, Naftali Tishby
    The Power of Amnesia. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:176-183 [Conf]
  24. Dietrich Wettschereck, Thomas G. Dietterich
    Locally Adaptive Nearest Neighbor Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:184-191 [Conf]
  25. Yong Liu
    Robust Parameter Estimation and Model Selection for Neural Network Regression. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:192-199 [Conf]
  26. David Wolpert
    Bayesian Backpropagation Over I-O Functions Rather Than Weights. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:200-207 [Conf]
  27. Hans Henrik Thodberg
    Bayesian Backprop in Action: Pruning, Committees, Error Bars and an Application to Spectroscopy. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:208-215 [Conf]
  28. Thomas G. Dietterich, Ajay N. Jain, Richard H. Lathrop, Tomás Lozano-Pérez
    A Comparison of Dynamic Reposing and Tangent Distance for Drug Activity Prediction. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:216-223 [Conf]
  29. Iris Ginzburg, David Horn
    Combined Neural Networks for Time Series Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:224-231 [Conf]
  30. Patrice Simard, Hans Peter Graf
    Backpropagation without Multiplication. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:232-239 [Conf]
  31. Richard T. J. Bostock, Alan J. Harget
    A Comparative Study of a Modified Bumptree Neural Network with Radial Basis Function Networks and the Standard Multi Layer Perceptron. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:240-246 [Conf]
  32. Hossein Lari-Najafi, Vladimir Cherkassky
    Adaptive knot Placement for Nonparametric Regression. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:247-254 [Conf]
  33. Bernd Fritzke
    Supervised Learning with Growing Cell Structures. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:255-262 [Conf]
  34. Babak Hassibi, David G. Stork, Gregory J. Wolff
    Optimal Brain Surgeon: Extensions and performance comparison. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:263-270 [Conf]
  35. Ryotaro Kamimura
    Generation of Internal Representation by alpha. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:271-278 [Conf]
  36. Laurens R. Leerink, Marwan A. Jabri
    Constructive Learning Using Internal Representation Conflicts. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:279-284 [Conf]
  37. Joachim Utans
    Learning in Compositional Hierarchies: Inducing the Structure of Objects from Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:285-292 [Conf]
  38. Sumio Watanabe
    An Optimization Method of Layered Neural Networks based on the Modified Information Criterion. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:293-302 [Conf]
  39. Changfeng Wang, Santosh S. Venkatesh, J. Stephen Judd
    Optimal Stopping and Effective Machine Complexity in Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:303-310 [Conf]
  40. Wolfgang Maass
    Agnostic PAC-Learning of Functions on Analog Neural Nets. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:311-318 [Conf]
  41. Hrushikesh Narhar Mhaskar, Charles A. Micchelli
    How to Choose an Activation Function. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:319-326 [Conf]
  42. Corinna Cortes, Lawrence D. Jackel, Sara A. Solla, Vladimir Vapnik, John S. Denker
    Learning Curves: Asymptotic Values and Rate of Convergence. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:327-334 [Conf]
  43. Charles Fefferman, Scott Markel
    Recovering a Feed-Forward Net From Its Output. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:335-342 [Conf]
  44. Tal Grossman, Alan S. Lapedes
    Use of Bad Training Data for Better Predictions. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:343-350 [Conf]
  45. Babak Hassibi, Ali H. Sayed, Thomas Kailath
    Optimality Criteria for LMS and Backpropagation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:351-358 [Conf]
  46. Bill G. Horne, Don R. Hush
    Bounds on the Complexity of Recurrent Neural Network Implementations of Finite State Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:359-366 [Conf]
  47. Chuanyi Ji
    Generalization Error and the Expected Network Complexity. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:367-374 [Conf]
  48. Adam Kowalczyk
    Counting Function Theorem for Multi-Layer Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:375-382 [Conf]
  49. Olvi L. Mangasarian, Mikhail V. Solodov
    Backpropagation Convergence via Deterministic Nonmonotone Perturbed Minimization. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:383-390 [Conf]
  50. Mark Plutowski, Shinichi Sakata, Halbert White
    Cross-Validation Estimates ISME. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:391-398 [Conf]
  51. Holm Schwarze, John A. Hertz
    Discontinuous Generalization in Large Committee Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:399-406 [Conf]
  52. Jonathan L. Shapiro, Adam Prügel-Bennett
    Non-Linear Statistical Analysis and Self-Organizing Hebbian Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:407-414 [Conf]
  53. Grace Wahba, Yuedong Wang, Chong Gu, Ronald Klein, Barbara Klein
    Structured Machine Learning for Soft Classification with Smoothing Spline ANOVA and Stacked Tuning, Testing, and Evaluation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:415-422 [Conf]
  54. Sumio Watanabe
    Solvable Models of Artificial Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:423-430 [Conf]
  55. Herbert Wiklicky
    On the Non-Existence of a Universal Learning Algorithm for Recurrent Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:431-436 [Conf]
  56. Scott Kirkpatrick, Géza Györgyi, Naftali Tishby, Lidror Troyansky
    The Statistical Mechanics of k-Satisfaction. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:439-446 [Conf]
  57. Anthony C. C. Coolen, R. W. Penney, D. Sherrington
    Coupled Dynamics of Fast Neurons and Slow Interactions. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:447-454 [Conf]
  58. Max H. Garzon, Fernanda Botelho
    Observability of Neural Network Behavior. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:455-462 [Conf]
  59. Wulfram Gerstner, J. Leo van Hemmen
    How to Describe Neuronal Activity: Spikes, Rates, or Assemblies? [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:463-470 [Conf]
  60. Iris Ginzburg, Haim Sompolinsky
    Correlation Functions in a Large Stochastic Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:471-476 [Conf]
  61. Todd K. Leen, Genevieve B. Orr
    Optimal Stochastic Search and Adaptive Momentum. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:477-484 [Conf]
  62. Isaac Meilijson, Eytan Ruppin
    Optimal Signalling in Attractor Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:485-492 [Conf]
  63. Xin Wang, Qingnan Li, Edward K. Blum
    Asynchronous Dynamics of Continuous Time Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:493-500 [Conf]
  64. John F. Kolen
    Fool's Gold: Extracting Finite State Machines from Recurrent Network Dynamics. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:501-508 [Conf]
  65. Eve Marder
    Dynamic Modulation of Neurons and Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:511-518 [Conf]
  66. Öjvind Bernander, Christof Koch, Rodney J. Douglas
    Amplifying and Linearizing Apical Synaptic Inputs to Cortical Pyramidal Cells. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:519-526 [Conf]
  67. Christiane Linster, David Marsan, Claudine Masson, Michel Kerszberg
    Odor Processing in the Bee: A Preliminary Study of the Role of Central Input to the Antennal Lobe. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:527-534 [Conf]
  68. Mitchell Gil Maltenfort, Robert E. Druzinsky, C. J. Heckman, W. Zev Rymer
    Lower Boundaries of Motoneuron Desynchronization via Renshaw Interneurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:535-542 [Conf]
  69. Klaus Obermayer, Lynne Kiorpes, Gary G. Blasdel
    Development of Orientation and Ocular Dominance Columns in Infant Macaques. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:543-550 [Conf]
  70. Daniel L. Ruderman, William Bialek
    Statistics of Natural Images: Scaling in the Woods. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:551-558 [Conf]
  71. Eric Boussard, Jean-François Vibert
    Dopaminergic Neuromodulation Brings a Dynamical Plasticity to the Retina. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:559-565 [Conf]
  72. Kenji Doya, Allen I. Selverston, Peter F. Rowat
    A Hodgkin-Huxley Type Neuron Model That Learns Slow Non-Spike Oscillations. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:566-573 [Conf]
  73. Audrey L. Guzik, Robert C. Eaton
    Directional Hearing by the Mauthner System. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:574-581 [Conf]
  74. Timothy K. Horiuchi, Brooks Bishofberger, Christof Koch
    An Analog VLSI Saccadic Eye Movement System. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:582-589 [Conf]
  75. Michael S. Lewicki
    Bayesian Modeling and Classification of Neural Signals. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:590-597 [Conf]
  76. P. Read Montague, Peter Dayan, Terrence J. Sejnowski
    Foraging in an Uncertain Environment Using Predictive Hebbian Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:598-605 [Conf]
  77. Daniel J. Rosen, David E. Rumelhart, Eric I. Knudsen
    A Connectionist Model of the Owl's Sound Localization System. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:606-613 [Conf]
  78. Terence D. Sanger
    Optimal Unsupervised Motor Learning Predicts the Internal Representation of Barn Owl Head Movements. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:614-621 [Conf]
  79. Micah S. Siegel
    An Analog VLSI Model of Central Pattern Generation in the Leech. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:622-628 [Conf]
  80. Martin Stemmler, Marius Usher, Christof Koch, Zeev Olami
    Synchronization, Oscillations and 1/f Noise in Networks of Spiking Neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:629-636 [Conf]
  81. Kenneth M. Buckland, Peter D. Lawrence
    Transition Point Dynamic Programming. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:639-646 [Conf]
  82. Gary William Flake, Guo-Zheng Sun, Yee-Chun Lee, Hsing-Hen Chen
    Exploiting Chaos to Control the Future. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:647-654 [Conf]
  83. Satinder P. Singh, Andrew G. Barto, Roderic A. Grupen, Christopher I. Connolly
    Robust Reinforcement Learning in Motion Planning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:655-662 [Conf]
  84. Christopher G. Atkeson
    Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:663-670 [Conf]
  85. Justin A. Boyan, Michael L. Littman
    Packet Routing in Dynamically Changing Networks: A Reinforcement Learning Approach. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:671-678 [Conf]
  86. David A. Cohn
    Neural Network Exploration Using Optimal Experiment Design. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:679-686 [Conf]
  87. Andrew G. Barto, Michael O. Duff
    Monte Carlo Matrix Inversion and Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:687-694 [Conf]
  88. Vijaykumar Gullapalli, Andrew G. Barto
    Convergence of Indirect Adaptive Asynchronous Value Iteration Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:695-702 [Conf]
  89. Tommi Jaakkola, Michael I. Jordan, Satinder P. Singh
    Convergence of Stochastic Iterative Dynamic Programming Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:703-710 [Conf]
  90. Andrew W. Moore
    The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:711-718 [Conf]
  91. Timothy W. Cacciatore, Steven J. Nowlan
    Mixtures of Controllers for Jump Linear and Non-Linear Plants. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:719-726 [Conf]
  92. Yasuhiro Wada, Yasuharu Koike, Eric Vatikiotis-Bateson, Mitsuo Kawato
    A Computational Model for Cursive Handwriting Based on the Minimization Principle. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:727-734 [Conf]
  93. Jane Bromley, Isabelle Guyon, Yann LeCun, Eduard Säckinger, Roopak Shah
    Signature Verification Using a Siamese Time Delay Neural Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:737-744 [Conf]
  94. Ralph Wolf, John C. Platt
    Postal Address Block Location Using a Convolutional Locator Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:745-752 [Conf]
  95. Shumeet Baluja, Dean Pomerleau
    Non-Intrusive Gaze Tracking Using Artificial Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:753-760 [Conf]
  96. Pierre Baldi, Søren Brunak, Yves Chauvin, Jacob Engelbrecht, Anders Krogh
    Hidden Markov Models for Human Genes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:761-768 [Conf]
  97. Joachim M. Buhmann, Martin Lades, Frank H. Eeckman
    Illumination-Invariant Face Recognition with a Contrast Sensitive Silicon Retina. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:769-776 [Conf]
  98. Nicholas S. Flann
    Recognition-Based Segmentation of On-Line Cursive Handwriting. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:777-784 [Conf]
  99. Hans Peter Graf, Eric Cosatto
    Address Block Location with a Neural Net System. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:785-792 [Conf]
  100. Nachimuthu Karunanithi
    Identifying Fault-Prone Software Modules Using Feed-Forward Networks: A Case Study. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:793-800 [Conf]
  101. Didier Keymeulen, Martine de Gerlache
    Comparison Training for a Rescheduling Problem in Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:801-808 [Conf]
  102. Alan S. Lapedes, Evan W. Steeg, Robert M. Farber
    Neural Network Definition of Highly Predictable Protein Secondary Structure Classes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:809-816 [Conf]
  103. Nicol N. Schraudolph, Peter Dayan, Terrence J. Sejnowski
    Temporal Difference Learning of Position Evaluation in the Game of Go. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:817-824 [Conf]
  104. Padhraic Smyth
    Probabilistic Anomaly Detection in Dynamic Systems. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:825-832 [Conf]
  105. Yoram Singer, Naftali Tishby
    Decoding Cursive Scripts. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:833-840 [Conf]
  106. Michael A. Glover, W. Thomas Miller III
    A Massively-Parallel {SIMD} Processor for Neural Network and Machine Vision Applications. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:843-849 [Conf]
  107. Steven S. Watkins, Paul M. Chau, Raoul Tawel, Bjorn Lambrigtsen, Mark Plutowski
    A Hybrid Radial Basis Function Neurocomputer and Its Applications. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:850-857 [Conf]
  108. Gert Cauwenberghs
    A Learning Analog Neural Network Chip with Continuous-Time Recurrent Dynamics. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:858-865 [Conf]
  109. Andreas G. Andreou, Thomas G. Edwards
    VLSI Phase Locking Architectures for Feature Linking in Multiple Target Tracking Systems. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:866-873 [Conf]
  110. Richard Coggins, Marwan A. Jabri
    WATTLE: A Trainable Gain Analogue VLSI Neural Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:874-881 [Conf]
  111. Ibrahim M. Elfadel, John L. Wyatt Jr.
    The Softmax Nonlinearity: Derivation Using Statistical Mechanics and Useful Properties as a Multiterminal Analog Circuit Element. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:882-887 [Conf]
  112. Urs A. Müller, Michael Kocheisen, Anton Gunzinger
    High Performance Neural Net Simulation on a Multiprocessor System with Intelligent Communication. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:888-895 [Conf]
  113. Michael Murray, Ming-Tak Leung, Kan Boonyanit, Kong Kritayakirana, James B. Burg, Gregory J. Wolff, Tokahiro Watanabe, Edward L. Schwartz, David G. Stork, Allern M. Peterson
    Digital Boltzmann VLSI for Constraint Satisfaction and Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:896-903 [Conf]
  114. Ernst Niebur, Dean Brettle
    Efficient Simulation of Biological Neural Networks on Massively Parallel Supercomputers with Hypercube Architecture. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:904-910 [Conf]
  115. Arlindo L. Oliveira, Alberto L. Sangiovanni-Vincentelli
    Learning Complex Boolean Functions: Algorithms and Applications. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:911-918 [Conf]
  116. Tadashi Shibata, Koji Kotani, Takeo Yamashita, Hiroshi Ishii, Hideo Kosaka, Tadahiro Ohmi
    Implementing Intelligence on Silicon Using Neuron-Like Functional MOS Transistors. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:919-926 [Conf]
  117. Lloyd Watts
    Event-Driven Simulation of Networks of Spiking Neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:927-934 [Conf]
  118. Yoshua Bengio, Yann LeCun, Donnie Henderson
    Globally Trained Handwritten Word Recognizer Using Spatial Representation, Convolutional Neural Networks, and Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:937-944 [Conf]
  119. Trevor Darrell, Alex Pentland
    Classifying Hand Gestures with a View-Based Distributed Representation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:945-952 [Conf]
  120. Kô Sakai, Leif H. Finkel
    A Network Mechanism for the Determination of Shape-from-Texture. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:953-960 [Conf]
  121. Subutai Ahmad
    Feature Densities Are Required for Computing Feature Correspondences. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:961-968 [Conf]
  122. G. T. Buracas, T. D. Albright
    The Role of MT Neuron Receptive Field Surrounds in Computing Object Shape from Velocity Fields. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:969-976 [Conf]
  123. Kostas I. Diamantaras, Davi Geiger
    Resolving Motion Ambiguities. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:977-984 [Conf]
  124. Chien-Ping Lu, Eric Mjolsness
    Two-Dimensional Object Localization by Coarse-to-Fine Correlation Matching. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:985-992 [Conf]
  125. Paul Sajda, Leif H. Finkel
    Dual Mechanisms for Neural Binding and Segmentation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:993-1000 [Conf]
  126. Alan L. Yuille, Stelios M. Smirnakis, Lei Xu
    Bayesian Self-Organization. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1001-1008 [Conf]
  127. José Carlos Príncipe, Hui-H. Hsu, Jyh-Ming Kuo
    Analysis of Short Term Memories for Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1011-1018 [Conf]
  128. Eric I. Chang, Richard Lippmann
    Figure of Merit Training for Detection and Spotting. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1019-1026 [Conf]
  129. Gregory J. Wolff, K. Venkatesh Prasad, David G. Stork, Marcus E. Hennecke
    Lipreading by Neural Networks: Visual Preprocessing, Learning, and Sensory Integration. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1027-1034 [Conf]
  130. Kevin R. Farrell, Richard J. Mammone
    Speaker Recognition Using Neural Tree Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1035-1042 [Conf]
  131. Makoto Hirayama, Eric Vatikiotis-Bateson, Mitsuo Kawato
    Inverse Dynamics of Speech Motor Control. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1043-1050 [Conf]
  132. Steve Renals, Mike Hochberg, Anthony J. Robinson
    Learning Temporal Dependencies in Connectionist Speech Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1051-1058 [Conf]
  133. Ying Zhao, Richard M. Schwartz, John Makhoul, George Zavaliagkos
    Segmental Neural Net Optimization for Continuous Speech Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1059-1066 [Conf]
  134. Richard O. Duda
    Connectionist Models for Auditory Scene Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1069-1076 [Conf]
  135. Reza Shadmehr, Ferdinando A. Mussa-Ivaldi
    Computational Elements of the Adaptive Controller of the Human Arm. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1077-1084 [Conf]
  136. Catherine Stevens, Janet Wiles
    Tonal Music as a Componential Code: Learning Temporal Relationships between and within Pitch and Timing Components. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1085-1092 [Conf]
  137. Reinhard Blasig
    GDS: Gradient Descent Generation of Symbolic Classification Rules. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1093-1100 [Conf]
  138. Thea B. Ghiselli-Crippa, Paul W. Munro
    Emergence of Global Structure from Local Associations. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1101-1108 [Conf]
  139. Tony Plate
    Estimating Analogical Similarity by Dot-Products of Holographic Reduced Representations. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1109-1116 [Conf]
  140. Thomas R. Shultz, Jeffrey L. Elman
    Analyzing Cross-Connected Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1117-1124 [Conf]
  141. Alessandro Sperduti
    Encoding Labeled Graphs by Labeling RAAM. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1125-1132 [Conf]
  142. Mark Plutowski, Garrison W. Cottrell, Halbert White
    Learning Mackey-Glass from 25 Examples, Plus or Minus 2. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1135-1142 [Conf]
  143. Yehuda Salu
    Classification of Multi-Spectral Pixels by the Binary Diamond Neural Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1143-1150 [Conf]
  144. Ah Chung Tsoi, D. S. C. So, A. Sergejew
    Classification of Electroencephalogram Using Artificial Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1151-1158 [Conf]
  145. Vwani P. Roychowdhury, Kai-Yeung Siu
    Complexity Issues in Neural Computation and Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1161-1162 [Conf]
  146. Andreas S. Weigend
    Connectionism for Music and Audition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1163-1164 [Conf]
  147. Thomas G. Dietterich, Dietrich Wettschereck, Christopher G. Atkeson, Andrew W. Moore
    Memory-Based Methods for Regression and Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1165-1166 [Conf]
  148. Ernst Niebur, Bruno A. Olshausen
    Neurobiology, Psychophysics, and Computational Models of Visual Attention. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1167-1168 [Conf]
  149. David A. Cohn
    Robot Learning: Exploration and Continuous Domains. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1169-1170 [Conf]
  150. Max H. Garzon, Fernanda Botelho
    Stability and Observability. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1171-1172 [Conf]
  151. Mark A. Gluck
    What Does the Hippocampus Compute?: A Precis of the 1993 NIPS Workshop. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1173-1175 [Conf]
  152. Robert M. French
    Catastrophic Interference in Connectionist Networks: Can It Be Predicted, Can It Be Prevented? [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1176-1177 [Conf]
  153. Joachim Diederich, Ah Chung Tsoi
    Connectionist Modeling and Parallel Architectures. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1178-1179 [Conf]
  154. Thomas H. Hildebrandt
    Functional Models of Selective Attention and Context Dependency. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1180-1181 [Conf]
  155. Hayit Greenspan
    Learning in Computer Vision and Image Understanding. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1182-1183 [Conf]
  156. Arun K. Jagota
    Neural Network Models for Optimization Problems. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1184-1185 [Conf]
  157. Josef P. Rauschecker, Terrence J. Sejnowski
    Processing of Visual and Auditory Space and Its Modification by Experience. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1186-1187 [Conf]
  158. Michael P. Perrone
    Putting It All Together: Methods for Combining Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1188-1189 [Conf]
NOTICE1
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NOTICE2
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