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Conferences in DBLP

Neural Information Processing Systems (NIPS) (nips)
1994 (conf/nips/1994)

  1. Humbert Suarez, Christof Koch, Rodney J. Douglas
    Direction Selectivity In Primary Visual Cortex Using Massive Intracortical Connections. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:3-10 [Conf]
  2. Donald W. Mathis, Michael Mozer
    On the Computational Utility of Consciousness. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:11-18 [Conf]
  3. Tom Brashers-Krug, Reza Shadmehr, Emanuel Todorov
    Catastrophic Interference in Human Motor Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:19-26 [Conf]
  4. Michiro Negishi
    Grammar Learning by a Self-Organizing Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:27-34 [Conf]
  5. Eytan Ruppin, James A. Reggia
    Patterns of damage in neural networks: The effects of lesion area, shape and number. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:35-42 [Conf]
  6. Daniel M. Wolpert, Zoubin Ghahramani, Michael I. Jordan
    Forward dynamic models in human motor control: Psychophysical evidence. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:43-50 [Conf]
  7. Neil Burgess
    A solvable connectionist model of immediate recall of ordered lists. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:51-58 [Conf]
  8. Rainer Malaka, Thomas Ragg, Martin Hammer
    A Model for Chemosensory Reception. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:61-68 [Conf]
  9. Nicholas T. Carnevale, Kenneth Y. Tsai, Brenda J. Claiborne, Thomas H. Brown
    The Electrotonic Transformation: a Tool for Relating Neuronal Form to Function. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:69-76 [Conf]
  10. Michael E. Hasselmo, Eric Schnell, Joshua Berke, Edi Barkai
    A model of the hippocampus combibing self-organization and associative memory function. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:77-84 [Conf]
  11. Sean D. Murphy, Edward W. Kairiss
    Model of a Biological Neuron as a Temporal Neural Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:85-91 [Conf]
  12. E. Erwin, Klaus Obermayer, Klaus Schulten
    A Critical Comparison of Models for Orientation and Ocular Dominance Columns in the Striate Cortex. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:93-100 [Conf]
  13. Kenji Doya, Terrence J. Sejnowski
    A Novel Reinforcement Model of Birdsong Vocalization Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:101-108 [Conf]
  14. Joseph Sirosh, Risto Miikkulainen
    Ocular Dominance and Patterned Lateral Connections in a Self-Organizing Model of the Primary Visual Cortex. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:109-116 [Conf]
  15. Kalanit Grill Spector, Shimon Edelman, Rafael Malach
    Anatomical origin and computational role of diversity in the response properties of cortical neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:117-124 [Conf]
  16. Alexandre Pouget, Cedric Deffayet, Terrence J. Sejnowski
    Reinforcement Learning Predicts the Site of Plasticity for Auditory Remapping in the Barn Owl. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:125-132 [Conf]
  17. Svilen Tzonev, Klaus Schulten, Joseph G. Malpeli
    Morphogenesis of the Lateral Geniculate Nucleus: How Singularities Affect Global Structure. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:133-140 [Conf]
  18. Todd S. Braver, Jonathan D. Cohen, David Servan-Schreiber
    A Computational Model of Prefrontal Cortex Function. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:141-148 [Conf]
  19. Eytan Ruppin, James A. Reggia, David Horn
    A Neural Model of Delusions and Hallucinations in Schizophrenia. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:149-156 [Conf]
  20. Alexandre Pouget, Terrence J. Sejnowski
    Spatial Representations in the Parietal Cortex May Use Basis Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:157-164 [Conf]
  21. Richard S. Zemel, Terrence J. Sejnowski
    Grouping Components of Three-Dimensional Moving Objects in Area MST of Visual Cortex. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:165-172 [Conf]
  22. William E. Skaggs, James J. Knierim, Hemant S. Kudrimoti, Bruce L. McNaughton
    A Model of the Neural Basis of the Rat's Sense of Direction. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:173-180 [Conf]
  23. Wolfgang Maass
    On the Computational Complexity of Networks of Spiking Neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:183-190 [Conf]
  24. Babak Hassibi, Thomas Kailath
    Optimal Training Algorithms and their Relation to Backpropagation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:191-198 [Conf]
  25. DeLiang L. Wang, David Terman
    Synchrony and Desynchrony in Neural Oscillator Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:199-206 [Conf]
  26. Peter Sollich
    Learning in large linear perceptrons and why the thermodynamic limit is relevant to the real world. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:207-214 [Conf]
  27. Adam Kowalczyk, Herman L. Ferrá
    Generalisation in Feedforward Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:215-222 [Conf]
  28. Todd K. Leen
    From Data Distributions to Regularization in Invariant Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:223-230 [Conf]
  29. Anders Krogh, Jesper Vedelsby
    Neural Network Ensembles, Cross Validation, and Active Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:231-238 [Conf]
  30. Corinna Cortes, Lawrence D. Jackel, Wan-Ping Chiang
    Limits in Learning Machine Accuracy Imposed by Data Quality. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:239-246 [Conf]
  31. Gustavo Deco, Wilfried Brauer
    Higher Order Statistical Decorrelation without Information Loss. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:247-254 [Conf]
  32. Glenn Marion, David Saad
    Hyperparameters Evidence and Generalisation for an Unrealisable Rule. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:255-262 [Conf]
  33. Changfeng Wang, Santosh S. Venkatesh
    Temporal Dynamics of Generalization in Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:263-270 [Conf]
  34. Toru Ohira, Jack D. Cowan
    Stochastic Dynamics of Three-State Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:271-278 [Conf]
  35. Mario Marchand, Saeed Hadjifaradji
    Learning Stochastic Perceptrons Under k-Blocking Distributions. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:279-286 [Conf]
  36. Peter Sollich, David Saad
    Learning from queries for maximum information gain in imperfectly learnable problems. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:287-294 [Conf]
  37. Ronny Meir
    Bias, Variance and the Combination of Least Squares Estimators. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:295-302 [Conf]
  38. N. Barkai, H. Sebastian Seung, Haim Sompolinsky
    On-line Learning of Dichotomies. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:303-310 [Conf]
  39. José Carlos Príncipe, Jyh-Ming Kuo
    Dynamic Modelling of Chaotic Time Series with Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:311-318 [Conf]
  40. Jianfeng Feng, Hong Pan, Vwani P. Roychowdhury
    A Rigorous Analysis of Linsker-Type Hebbian Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:319-326 [Conf]
  41. Michael J. Turmon, Terrence Fine
    Sample Size Requirements for Feedforward Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:327-334 [Conf]
  42. Sayandev Mukherjee, Terrence Fine
    Asymptotics of Gradient-based Neural Network Training Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:335-342 [Conf]
  43. Tommi Jaakkola, Satinder P. Singh, Michael I. Jordan
    Reinforcement Learning Algorithm for Partially Observable Markov Decision Problems. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:345-352 [Conf]
  44. Mance E. Harmon, Leemon C. Baird III, A. Harry Klopf
    Advantage Updating Applied to a Differrential Game. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:353-360 [Conf]
  45. Satinder P. Singh, Tommi Jaakkola, Michael I. Jordan
    Reinforcement Learning with Soft State Aggregation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:361-368 [Conf]
  46. Justin A. Boyan, Andrew W. Moore
    Generalization in Reinforcement Learning: Safely Approximating the Value Function. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:369-376 [Conf]
  47. Andrew McCallum
    Instance-Based State Identification for Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:377-384 [Conf]
  48. Sebastian Thrun, Anton Schwartz
    Finding Structure in Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:385-392 [Conf]
  49. Steven J. Bradtke, Michael O. Duff
    Reinforcement Learning Methods for Continuous-Time Markov Decision Problems. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:393-400 [Conf]
  50. Robert H. Crites, Andrew G. Barto
    An Actor/Critic Algorithm that is Equivalent to Q-Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:401-408 [Conf]
  51. Yaser S. Abu-Mostafa
    Financial Applications of Learning from Hints. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:411-418 [Conf]
  52. Volker Tresp, Michiaki Taniguchi
    Combining Estimators Using Non-Constant Weighting Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:419-426 [Conf]
  53. Yoshua Bengio, Paolo Frasconi
    An Input Output HMM Architecture. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:427-434 [Conf]
  54. Lawrence K. Saul, Michael I. Jordan
    Boltzmann Chains and Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:435-442 [Conf]
  55. Gerhard Paass, Jörg Kindermann
    Bayesian Query Construction for Neural Network Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:443-450 [Conf]
  56. Shumeet Baluja, Dean Pomerleau
    Using a Saliency Map for Active Spatial Selective Attention: Implementation & Initial Results. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:451-458 [Conf]
  57. Thomas Hofmann, Joachim M. Buhmann
    Multidimensional Scaling and Data Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:459-466 [Conf]
  58. Anthony J. Bell, Terrence J. Sejnowski
    A Non-linear Information Maximisation Algorithm that Performs Blind Separation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:467-474 [Conf]
  59. Nicol N. Schraudolph, Terrence J. Sejnowski
    Plasticity-Mediated Competitive Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:475-480 [Conf]
  60. Fu-Sheng Tsung, Garrison W. Cottrell
    Phase-Space Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:481-488 [Conf]
  61. David A. Nix, Andreas S. Weigend
    Learning Local Error Bars for Nonlinear Regression. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:489-496 [Conf]
  62. Jörg Bruske, Gerald Sommer
    Dynamic Cell Structures. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:497-504 [Conf]
  63. Sebastian Thrun
    Extracting Rules from Artifical Neural Networks with Distributed Representations. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:505-512 [Conf]
  64. Bruce Graham, David J. Willshaw
    Capacity and Information Efficiency of a Brain-like Associative Net. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:513-520 [Conf]
  65. Michael R. Berthold, Jay Diamond
    Boosting the Performance of RBF Networks with Dynamic Decay Adjustment. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:521-528 [Conf]
  66. Sepp Hochreiter, Jürgen Schmidhuber
    Simplifying Neural Nets by Discovering Flat Minima. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:529-536 [Conf]
  67. Laurens R. Leerink, C. Lee Giles, Bill G. Horne, Marwan A. Jabri
    Learning with Product Units. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:537-544 [Conf]
  68. Naonori Ueda, Ryohei Nakano
    Deterministic Annealing Variant of the EM Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:545-552 [Conf]
  69. Yoshua Bengio, Paolo Frasconi
    Diffusion of Credit in Markovian Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:553-560 [Conf]
  70. Joshua B. Tenenbaum, Emanuel Todorov
    Factorial Learning by Clustering Features. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:561-568 [Conf]
  71. Michael D. Lemmon, Peter T. Szymanski
    Interior Point Implementations of Alternating Minimization Training. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:569-576 [Conf]
  72. Daniel L. James, Risto Miikkulainen
    SARDNET: A Self-Organizing Feature Map for Sequences. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:577-584 [Conf]
  73. Léon Bottou, Yoshua Bengio
    Convergence Properties of the K-Means Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:585-592 [Conf]
  74. Kah Kay Sung, Partha Niyogi
    Active Learning for Function Approximation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:593-600 [Conf]
  75. Thomas R. Shultz, Yuriko Oshima-Takane, Yoshio Takane
    Analysis of Unstandardized Contributions in Cross Connected Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:601-608 [Conf]
  76. Jay A. Alexander, Michael Mozer
    Template-Based Algorithms for Connectionist Rule Extraction. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:609-616 [Conf]
  77. Zoubin Ghahramani
    Factorial Learning and the EM Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:617-624 [Conf]
  78. Bernd Fritzke
    A Growing Neural Gas Network Learns Topologies. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:625-632 [Conf]
  79. Lei Xu, Michael I. Jordan, Geoffrey E. Hinton
    An Alternative Model for Mixtures of Experts. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:633-640 [Conf]
  80. Christopher M. Bishop, Claire Legleye
    Estimating Conditional Probability Densities for Periodic Variables. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:641-648 [Conf]
  81. Kam-Chuen Jim, Bill G. Horne, C. Lee Giles
    Effects of Noise on Convergence and Generalization in Recurrent Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:649-656 [Conf]
  82. Rich Caruana
    Learning Many Related Tasks at the Same Time with Backpropagation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:657-664 [Conf]
  83. Alessandro Sperduti, David G. Stork
    A Rapid Graph-based Method for Arbitrary Transformation-Invariant Pattern Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:665-672 [Conf]
  84. Morten With Pedersen, Lars Kai Hansen
    Recurrent Networks: Second Order Properties and Pruning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:673-680 [Conf]
  85. Nanda Kambhatla, Todd K. Leen
    Classifying with Gaussian Mixtures and Clusters. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:681-688 [Conf]
  86. Volker Tresp, Ralph Neuneier, Subutai Ahmad
    Efficient Methods for Dealing with Missing Data in Supervised Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:689-696 [Conf]
  87. Bill G. Horne, C. Lee Giles
    An experimental comparison of recurrent neural networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:697-704 [Conf]
  88. David A. Cohn, Zoubin Ghahramani, Michael I. Jordan
    Active Learning with Statistical Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:705-712 [Conf]
  89. Steven Gold, Anand Rangarajan, Eric Mjolsness
    Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:713-720 [Conf]
  90. Peter T. Kazlas, Andreas S. Weigend
    Direct Multi-Step Time Series Prediction Using TD-lambda. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:721-728 [Conf]
  91. Richard Coggins, Marwan A. Jabri, Barry Flower, Stephen Pickard
    ICEG Morphology Classification using an Analogue VLSI Neural Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:731-738 [Conf]
  92. Bradley A. Minch, Paul E. Hasler, Chris Diorio, Carver Mead
    A Silicon Axon. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:739-746 [Conf]
  93. Michael P. Perrone, Leon N. Cooper
    The Ni1000: High Speed Parallel VLSI for Implementing Multilayer Perceptrons. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:747-754 [Conf]
  94. Teresa Serrano-Gotarredona, Bernabé Linares-Barranco, José Luis Huertas
    A Real Time Clustering CMOS Neural Engine. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:755-762 [Conf]
  95. A. J. Holmes, Alan F. Murray, Stephen Churcher, J. Hajto, M. J. Rose
    Pulsestream Synapses with Non-Volatile Analogue Amorphous-Silicon Memories. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:763-769 [Conf]
  96. James Edward Steck, Steven R. Skinner, Alvaro A. Cruz-Cabrara, Elizabeth C. Behrman
    A Lagrangian Formulation For Optical Backpropagation Training In Kerr-Type Optical Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:771-778 [Conf]
  97. Gert Cauwenberghs, Volnei A. Pedroni
    A Charge-Based Parallel Analog Vector Quantizer. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:779-787 [Conf]
  98. Timothy K. Horiuchi
    An Auditory Localization and Coordinate Transform Chip. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:787-794 [Conf]
  99. Fernando J. Pineda, Andreas G. Andreou
    An Analog Neural Network Inspired by Fractal Block Coding. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:795-802 [Conf]
  100. D. Lippe, Joshua Alspector
    A Study of Parallel Perturbative Gradient Descent. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:803-810 [Conf]
  101. Il Song Han, Ki-Chul Kim, Hwang-Soo Lee
    Implementation of Neural Hardware with the Neural VLSI of URAN in Applications with Reduced Representations. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:811-815 [Conf]
  102. Paul E. Hasler, Chris Diorio, Bradley A. Minch, Carver Mead
    Single Transistor Learning Synapses. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:817-824 [Conf]
  103. Malcolm Slaney
    Pattern Playback in the 90s. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:827-834 [Conf]
  104. Steve R. Waterhouse, Anthony J. Robinson
    Non-linear Prediction of Acoustic Vectors Using Hierarchical Mixtures of Experts. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:835-842 [Conf]
  105. Sidney Fels, Geoffrey E. Hinton
    Glove-TalkII: Mapping Hand Gestures to Speech Using Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:843-850 [Conf]
  106. Javier R. Movellan
    Visual Speech Recognition with Stochastic Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:851-858 [Conf]
  107. Ying Zhao, Richard M. Schwartz, Jason J. Sroka, John Makhoul
    Hierarchical Mixtures of Experts Methodology Applied to Continuous Speech Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:859-865 [Conf]
  108. Cesare Furlanello, Diego Giuliani, Edmondo Trentin
    Connectionist Speaker Normalization with Generalized Resource Allocating Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:865-874 [Conf]
  109. Eric I. Chang, Richard Lippmann
    Using Voice Transformations to Create Additional Training Talkers for Word Spotting. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:875-882 [Conf]
  110. Andrew D. Back, Ah Chung Tsoi
    A Comparison of Discrete-Time Operator Models and for Nonlinear System Identification. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:883-890 [Conf]
  111. Rajesh P. N. Rao, Dana H. Ballard
    Learning Saccadic Eye Movements Using Multiscale Spatial Filters. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:893-900 [Conf]
  112. Steven J. Nowlan, John C. Platt
    A Convolutional Neural Network Hand Tracker. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:901-908 [Conf]
  113. Trevor Darrell, Irfan A. Essa, Alex Pentland
    Correlation and Interpolation Networks for Real-time Expression Analysis/Synthesis. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:909-916 [Conf]
  114. V. Sundareswaran, Lucia M. Vaina
    Learning direction in global motion: two classes of psychophysically-motivated models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:917-924 [Conf]
  115. Dawei W. Dong
    Associative Decorrelation Dynamics: A Theory of Self-Organization and Optimization in Feedback Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:925-932 [Conf]
  116. Suzanna Becker
    JPMAX: Learning to Recognize Moving Objects as a Model-fitting Problem. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:933-940 [Conf]
  117. Horst Bischof, Kurt Hornik
    PCA-Pyramids for Image Compression. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:941-948 [Conf]
  118. Satoshi Suzuki, Hiroshi Ando
    Unsupervised Classification of 3D Objects from 2D Views. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:949-956 [Conf]
  119. Steven Gold, Chien-Ping Lu, Anand Rangarajan, Suguna Pappu, Eric Mjolsness
    New Algorithms for 2D and 3D Point Matching: Pose Estimation and Correspondence. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:957-964 [Conf]
  120. Christopher K. I. Williams, Michael Revow, Geoffrey E. Hinton
    Using a neural net to instantiate a deformable model. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:965-972 [Conf]
  121. Christoph Bregler, Stephen M. Omohundro
    Nonlinear Image Interpolation using Manifold Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:973-980 [Conf]
  122. Clay Spence, John C. Pearson, Jim Bergen
    Coarse-to-Fine Image Search Using Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:981-988 [Conf]
  123. Holger Schwenk, Maurice Milgram
    Transformation Invariant Autoassociation with Application to Handwritten Character Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:992-998 [Conf]
  124. Trevor Hastie, Patrice Simard
    Learning Prototype Models for Tangent Distance. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:999-1006 [Conf]
  125. Christopher M. Bishop
    Real-Time Control of a Tokamak Plasma Using Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:1007-1014 [Conf]
  126. Geoffrey E. Hinton, Michael Revow, Peter Dayan
    Recognizing Handwritten Digits Using Mixtures of Linear Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:1015-1022 [Conf]
  127. Terence D. Sanger
    Optimal Movement Primitives. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:1023-1030 [Conf]
  128. Ke Liu, Robert L. Tokar, Brain D. McVey
    An Integrated Architecture of Adaptive Neural Network Control for Dynamic Systems. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:1031-1038 [Conf]
  129. Dean Pomerleau
    A Connectionist Technique for Accelerated Textual Input: Letting a Network Do the Typing. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:1039-1046 [Conf]
  130. Jürgen Schmidhuber, Stefan Heil
    Predictive Coding with Neural Nets: Application to Text Compression. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:1047-1054 [Conf]
  131. Richard Lippmann, Linda Kukolich, David Shahian
    Predicting the Risk of Complications in Coronary Artery Bypass Operations using Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:1055-1062 [Conf]
  132. Harry B. Burke, David B. Rosen, Philip H. Goodman
    Comparing the prediction accuracy of artifical neural networks and other statistical models for breast cancer survival. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:1063-1067 [Conf]
  133. Sebastian Thrun
    Learning to Play the Game of Chess. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:1069-1076 [Conf]
  134. Magnus Stensmo, Terrence J. Sejnowski
    A Mixture Model System for Medical and Machine Diagnosis. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:1077-1084 [Conf]
  135. Padhraic Smyth, Usama M. Fayyad, Michael C. Burl, Pietro Perona, Pierre Baldi
    Inferring Ground Truth from Subjective Labelling of Venus Images. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:1085-1092 [Conf]
  136. Stefan Manke, Michael Finke, Alex Waibel
    The Use of Dynamic Writing Information in a Connectionist On-Line Cursive Handwriting Recognition System. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:1093-1100 [Conf]
  137. Minoru Asogawa
    Adaptive Elastic Input Field for Recognition Improvement. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:1101-1108 [Conf]
  138. David Price, Stefan Knerr, Léon Personnaz, Gérard Dreyfus
    Pairwise Neural Network Classifiers with Probabilistic Outputs. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:1109-1116 [Conf]
  139. Reza Shadmehr, Tom Brashers-Krug, Ferdinando A. Mussa-Ivaldi
    Interference in Learning Internal Models of Inverse Dynamics in Humans. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:1117-1124 [Conf]
  140. Zoubin Ghahramani, Daniel M. Wolpert, Michael I. Jordan
    Computational Structure of coordinate transformations: A generalization study. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:1125-1132 [Conf]
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
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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