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Conferences in DBLP

Neural Information Processing Systems (NIPS) (nips)
1996 (conf/nips/1996N)

  1. Ron Papka, James P. Callan, Andrew G. Barto
    Text-Based Information Retrieval Using Exponentiated Gradient Descent. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:3-9 [Conf]
  2. Jordan B. Pollack, Alan D. Blair
    Why did TD-Gammon Work? [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:10-16 [Conf]
  3. Maximilian Riesenhuber, Peter Dayan
    Neural Models for Part-Whole Hierarchies. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:17-26 [Conf]
  4. Hagai Attias, Christoph E. Schreiner
    Temporal Low-Order Statistics of Natural Sounds. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:27-33 [Conf]
  5. Wyeth Bair, James R. Cavanaugh, J. Anthony Movshon
    Reconstructing Stimulus Velocity from Neuronal Responses in Area MT. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:34-40 [Conf]
  6. Emanuela Bricolo, Tomaso Poggio, Nikos Logothetis
    3D Object Recognition: A Model of View-Tuned Neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:41-47 [Conf]
  7. Peter Dayan
    A Hierarchical Model of Visual Rivalry. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:48-54 [Conf]
  8. Thomas C. Ferrée, Ben A. Marcotte, Shawn R. Lockery
    Neural Network Models of Chemotaxis in the Nematode Caenorhabditis Elegans. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:55-61 [Conf]
  9. Fabrizio Gabbiani, Walter Metzner, Ralf Wessel, Christof Koch
    Extraction of Temporal Features in the Electrosensory System of Weakly Electric Fish. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:62-68 [Conf]
  10. Zhaoping Li
    A Neural Model of Visual Contour Integration. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:69-75 [Conf]
  11. Laura Martignon, Kathryn B. Laskey, Gustavo Deco, Eilon Vaadia
    Learning Exact Patterns of Quasi-synchronization among Spiking Neurons from Data on Multi-unit Recordings. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:76-82 [Conf]
  12. Bartlett W. Mel, Daniel L. Ruderman, Kevin A. Archie
    Complex-Cell Responses Derived from Center-Surround Inputs: The Surprising Power of Intradendritic Computation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:83-89 [Conf]
  13. Klaus Pawelzik, Udo Ernst, Fred Wolf, Theo Geisel
    Orientation Contrast Sensitivity from Long-range Interactions in Visual Cortex. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:90-96 [Conf]
  14. Alexandre Pouget, Kechen Zhang
    Statistically Efficient Estimations Using Cortical Lateral Connections. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:97-103 [Conf]
  15. Silvio P. Sabatini, Fabio Solari, Giacomo M. Bisio
    An Architectural Mechanism for Direction-tuned Cortical Simple Cells: The Role of Mutual Inhibition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:104-110 [Conf]
  16. Akaysha C. Tang, Andreas M. Bartels, Terrence J. Sejnowski
    Cholinergic Modulation Preserves Spike Timing Under Physiologically Realistic Fluctuating Input. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:111-117 [Conf]
  17. Emanuel Todorov, Athanassios Siapas, David Somers
    A Model of Recurrent Interactions in Primary Visual Cortex. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:118-126 [Conf]
  18. Shun-ichi Amari
    Neural Learning in Structured Parameter Spaces - Natural Riemannian Gradient. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:127-133 [Conf]
  19. Peter L. Bartlett
    For Valid Generalization the Size of the Weights is More Important than the Size of the Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:134-140 [Conf]
  20. Siegfried Bös, Manfred Opper
    Dynamics of Training. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:141-147 [Conf]
  21. G. Brightwell, Claire Kenyon, Hélène Paugam-Moisy
    Multilayer Neural Networks: One or Two Hidden Layers? [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:148-154 [Conf]
  22. Harris Drucker, Christopher J. C. Burges, Linda Kaufman, Alex J. Smola, Vladimir Vapnik
    Support Vector Regression Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:155-161 [Conf]
  23. André Elisseeff, Hélène Paugam-Moisy
    Size of Multilayer Networks for Exact Learning: Analytic Approach. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:162-168 [Conf]
  24. Søren Halkjær, Ole Winther
    The Effect of Correlated Input Data on the Dynamics of Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:169-175 [Conf]
  25. Tom Heskes
    Practical Confidence and Prediction Intervals. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:176-182 [Conf]
  26. Kukjin Kang, Jong-Hoon Oh
    Statistical Mechanics of the Mixture of Experts. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:183-189 [Conf]
  27. Adam Kowalczyk, Herman L. Ferrá
    MLP Can Provably Generalize Much Better than VC-bounds Indicate. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:190-196 [Conf]
  28. Adam Krzyzak, Tamás Linder
    Radial Basis Function Networks and Complexity Regularization in Function Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:197-203 [Conf]
  29. Nick Littlestone, Chris Mesterharm
    An Apobayesian Relative of Winnow. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:204-210 [Conf]
  30. Wolfgang Maass
    Noisy Spiking Neurons with Temporal Coding have more Computational Power than Sigmoidal Neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:211-217 [Conf]
  31. Wolfgang Maass, Pekka Orponen
    On the Effect of Analog Noise in Discrete-Time Analog Computations. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:218-224 [Conf]
  32. Manfred Opper, Ole Winther
    A Mean Field Algorithm for Bayes Learning in Large Feed-forward Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:225-231 [Conf]
  33. Genevieve B. Orr
    Removing Noise in On-Line Search using Adaptive Batch Sizes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:232-238 [Conf]
  34. Ian Parberry, Hung-Li Tseng
    Are Hopfield Networks Faster than Conventional Computers? [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:239-245 [Conf]
  35. Ferdinand Peper, Hideki Noda
    Hebb Learning of Features based on their Information Content. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:246-252 [Conf]
  36. Richard Rohwer, Michal Morciniec
    The Generalisation Cost of RAMnets. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:253-259 [Conf]
  37. David Saad, Sara A. Solla
    Learning with Noise and Regularizers in Multilayer Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:260-266 [Conf]
  38. Lawrence K. Saul, Michael I. Jordan
    A Variational Principle for Model-based Morphing. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:267-273 [Conf]
  39. Peter Sollich, David Barber
    Online Learning from Finite Training Sets: An Analytical Case Study. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:274-280 [Conf]
  40. Vladimir Vapnik, Steven E. Golowich, Alex J. Smola
    Support Vector Method for Function Approximation, Regression Estimation and Signal Processing. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:281-287 [Conf]
  41. Ansgar H. L. West, David Saad, Ian T. Nabney
    The Learning Dynamcis of a Universal Approximator. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:288-294 [Conf]
  42. Christopher K. I. Williams
    Computing with Infinite Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:295-301 [Conf]
  43. K. Y. Michael Wong
    Microscopic Equations in Rough Energy Landscape for Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:302-308 [Conf]
  44. Assaf J. Zeevi, Ron Meir, Robert J. Adler
    Time Series Prediction using Mixtures of Experts. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:309-318 [Conf]
  45. Shumeet Baluja
    Genetic Algorithms and Explicit Search Statistics. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:319-325 [Conf]
  46. Yoram Baram
    Consistent Classification, Firm and Soft. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:326-332 [Conf]
  47. David Barber, Christopher M. Bishop
    Bayesian Model Comparison by Monte Carlo Chaining. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:333-339 [Conf]
  48. David Barber, Christopher K. I. Williams
    Gaussian Processes for Bayesian Classification via Hybrid Monte Carlo. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:340-346 [Conf]
  49. Christopher M. Bishop, Cazhaow S. Quazaz
    Regression with Input-Dependent Noise: A Bayesian Treatment. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:347-353 [Conf]
  50. Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams
    GTM: A Principled Alternative to the Self-Organizing Map. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:354-360 [Conf]
  51. Andrew Blake, Michael Isard
    The CONDENSATION Algorithm - Conditional Density Propagation and Applications to Visual Tracking. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:361-367 [Conf]
  52. Paul S. Bradley, Olvi L. Mangasarian, W. Nick Street
    Clustering via Concave Minimization. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:368-374 [Conf]
  53. Christopher J. C. Burges, Bernhard Schölkopf
    Improving the Accuracy and Speed of Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:375-381 [Conf]
  54. A. Neil Burgess
    Estimating Equivalent Kernels for Neural Networks: A Data Perturbation Approach. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:382-388 [Conf]
  55. Rich Caruana, Virginia R. de Sa
    Promoting Poor Features to Supervisors: Some Inputs Work Better as Outputs. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:389-395 [Conf]
  56. Chanchal Chatterjee, Vwani P. Roychowdhury
    Self-Organizing and Adaptive Algorithms for Generalized Eigen-Decomposition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:396-402 [Conf]
  57. Daniel S. Clouse, C. Lee Giles, Bill G. Horne, Garrison W. Cottrell
    Representation and Induction of Finite State Machines using Time-Delay Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:403-409 [Conf]
  58. Frans Coetzee, Virginia L. Stonick
    488 Solutions to the XOR Problem. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:410-416 [Conf]
  59. David A. Cohn
    Minimizing Statistical Bias with Queries. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:417-423 [Conf]
  60. Jeremy S. De Bonet, Charles Lee Isbell Jr., Paul A. Viola
    MIMIC: Finding Optima by Estimating Probability Densities. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:424-430 [Conf]
  61. A. P. Dunmur, D. M. Titterington
    On a Modification to the Mean Field EM Algorithm in Factorial Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:431-437 [Conf]
  62. Andrew M. Finch, Richard C. Wilson, Edwin R. Hancock
    Softening Discrete Relaxation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:438-444 [Conf]
  63. Arthur Flexer
    Limitations of Self-organizing Maps for Vector Quantization and Multidimensional Scaling. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:445-451 [Conf]
  64. Brendan J. Frey
    Continuous Sigmoidal Belief Networks Trained using Slice Sampling. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:452-458 [Conf]
  65. Jürgen Fritsch, Michael Finke, Alex Waibel
    Adaptively Growing Hierarchical Mixtures of Experts. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:459-465 [Conf]
  66. Tom Heskes
    Balancing Between Bagging and Bumping. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:466-472 [Conf]
  67. Sepp Hochreiter, Jürgen Schmidhuber
    LSTM can Solve Hard Long Time Lag Problems. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:473-479 [Conf]
  68. Aapo Hyvärinen, Erkki Oja
    One-unit Learning Rules for Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:480-486 [Conf]
  69. Tommi Jaakkola, Michael I. Jordan
    Recursive Algorithms for Approximating Probabilities in Graphical Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:487-493 [Conf]
  70. Chuanyi Ji, Sheng Ma
    Combinations of Weak Classifiers. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:494-500 [Conf]
  71. Michael I. Jordan, Zoubin Ghahramani, Lawrence K. Saul
    Hidden Markov Decision Trees. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:501-507 [Conf]
  72. Ryotaro Kamimura
    Unification of Information Maximization and Minimization. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:508-514 [Conf]
  73. Daniel D. Lee, H. Sebastian Seung
    Unsupervised Learning by Convex and Conic Coding. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:515-521 [Conf]
  74. Friedrich Leisch, Kurt Hornik
    ARC-LH: A New Adaptive Resampling Algorithm for Improving ANN Classifiers. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:522-528 [Conf]
  75. Michael S. Lewicki, Terrence J. Sejnowski
    Bayesian Unsupervised Learning of Higher Order Structure. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:529-535 [Conf]
  76. Juan K. Lin, Jack D. Cowan, David G. Grier
    Source Separation and Density Estimation by Faithful Equivariant SOM. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:536-542 [Conf]
  77. David Lowe, Michael E. Tipping
    NeuroScale: Novel Topographic Feature Extraction using RBF Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:543-549 [Conf]
  78. Mark Mathieson
    Ordered Classes and Incomplete Examples in Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:550-556 [Conf]
  79. Marina Meila, Michael I. Jordan
    Triangulation by Continuous Embedding. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:557-563 [Conf]
  80. Christopher J. Merz, Michael J. Pazzani
    Combining Neural Network Regression Estimates with Regularized Linear Weights. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:564-570 [Conf]
  81. David J. Miller, Hasan S. Uyar
    A Mixture of Experts Classifier with Learning Based on Both Labelled and Unlabelled Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:571-577 [Conf]
  82. Stefano Monti, Gregory F. Cooper
    Learning Bayesian Belief Networks with Neural Network Estimators. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:578-584 [Conf]
  83. John E. Moody, Thorsteinn S. Rögnvaldsson
    Smoothing Regularizers for Projective Basis Function Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:585-591 [Conf]
  84. Paul W. Munro, Bambang Parmanto
    Competition Among Networks Improves Committee Performance. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:592-598 [Conf]
  85. Noboru Murata, Klaus-Robert Müller, Andreas Ziehe, Shun-ichi Amari
    Adaptive On-line Learning in Changing Environments. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:599-605 [Conf]
  86. Genevieve B. Orr, Todd K. Leen
    Using Curvature Information for Fast Stochastic Search. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:606-612 [Conf]
  87. Barak A. Pearlmutter, Lucas C. Parra
    Maximum Likelihood Blind Source Separation: A Context-Sensitive Generalization of ICA. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:613-619 [Conf]
  88. Anand Rangarajan, Alan L. Yuille, Steven Gold, Eric Mjolsness
    A Convergence Proof for the Softassign Quadratic Assignment Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:620-626 [Conf]
  89. Kazumi Saito, Ryohei Nakano
    Second-order Learning Algorithm with Squared Penalty Term. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:627-633 [Conf]
  90. Joseph Sill, Yaser S. Abu-Mostafa
    Monotonicity Hints. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:634-640 [Conf]
  91. Yoram Singer, Manfred K. Warmuth
    Training Algorithms for Hidden Markov Models using Entropy Based Distance Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:641-647 [Conf]
  92. Padhraic Smyth
    Clustering Sequences with Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:648-654 [Conf]
  93. Achim Stahlberger, Martin Riedmiller
    Fast Network Pruning and Feature Extraction by using the Unit-OBS Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:655-661 [Conf]
  94. Joshua B. Tenenbaum, William T. Freeman
    Separating Style and Content. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:662-668 [Conf]
  95. Volker Tresp, Ralph Neuneier, Hans-Georg Zimmermann
    Early Brain Damage. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:669-675 [Conf]
  96. Richard S. Zemel, Peter Dayan, Alexandre Pouget
    Probabilistic Interpretation of Population Codes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:676-684 [Conf]
  97. Ralph Etienne-Cummings, Jan Van der Spiegel, Naomi Takahashi, Alyssa B. Apsel, Paul Mueller
    VLSI Implementation of Cortical Visual Motion Detection Using an Analog Neural Computer. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:685-691 [Conf]
  98. Philipp Häfliger, Misha Mahowald, Lloyd Watts
    A Spike Based Learning Neuron in Analog VLSI. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:692-698 [Conf]
  99. John G. Harris, Yu-Ming Chiang
    An Analog Implementation of the Constant Average Statistics Constraint For Sensor Calibration. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:699-705 [Conf]
  100. Timothy K. Horiuchi, Tonia G. Morris, Christof Koch, Stephen P. DeWeerth
    Analog VLSI Circuits for Attention-Based, Visual Tracking. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:706-712 [Conf]
  101. Kunihiko Iizuka, Masayuki Miyamoto, Hirofumi Matsui
    Dynamically Adaptable CMOS Winner-Take-All Neural Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:713-719 [Conf]
  102. W. Fritz Kruger, Paul E. Hasler, Bradley A. Minch, Christof Koch
    An Adaptive WTA using Floating Gate Technology. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:720-726 [Conf]
  103. John Lazzaro, John Wawrzynek, Richard Lippmann
    A Micropower Analog VLSI HMM State Decoder for Wordspotting. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:727-733 [Conf]
  104. Fernando J. Pineda, Gert Cauwenberghs, R. Timothy Edwards
    Bangs, Clicks, Snaps, Thuds and Whacks: An Architecture for Acoustic Transient Processing. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:734-740 [Conf]
  105. André van Schaik, Eric Fragnière, Eric A. Vittoz
    A Silicon Model of Amplitude Modulation Detection in the Auditory Brainstem. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:741-750 [Conf]
  106. Michael S. Gray, Javier R. Movellan, Terrence J. Sejnowski
    Dynamic Features for Visual Speechreading: A Systematic Comparison. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:751-757 [Conf]
  107. Te-Won Lee, Anthony J. Bell, Russell H. Lambert
    Blind Separation of Delayed and Convolved Sources. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:758-764 [Conf]
  108. John C. Platt, Nada Matic
    A Constructive RBF Network for Writer Adaptation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:765-771 [Conf]
  109. Gerhard Rigoll, Christoph Neukirchen
    A New Approach to Hybrid HMM/ANN Speech Recognition using Mutual Information Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:772-778 [Conf]
  110. Alex Röbel
    Neural Network Modeling of Speech and Music Signals. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:779-785 [Conf]
  111. Diego Sona, Alessandro Sperduti, Antonina Starita
    A Constructive Learning Algorithm for Discriminant Tangent Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:786-792 [Conf]
  112. Eric A. Wan, Alex T. Nelson
    Dual Kalman Filtering Methods for Nonlinear Prediction, Smoothing and Estimation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:793-799 [Conf]
  113. Steve R. Waterhouse, Gary Cook
    Ensemble Methods for Phoneme Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:800-806 [Conf]
  114. Larry S. Yaeger, Richard F. Lyon, Brandyn J. Webb
    Effective Training of a Neural Network Character Classifier for Word Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:807-816 [Conf]
  115. Marian Stewart Bartlett, Terrence J. Sejnowski
    Viewpoint Invariant Face Recognition using Independent Component Analysis and Attractor Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:817-823 [Conf]
  116. Suzanna Becker
    Learning Temporally Persistent Hierarchical Representations. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:824-830 [Conf]
  117. Anthony J. Bell, Terrence J. Sejnowski
    Edges are the Independent Components of Natural Scenes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:831-837 [Conf]
  118. Elie Bienenstock, Stuart Geman, Daniel Potter
    Compositionality, MDL Priors, and Object Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:838-844 [Conf]
  119. Christoph Bregler, Jitendra Malik
    Learning Appearance Based Models: Mixtures of Second Moment Experts. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:845-0 [Conf]
  120. Dawei W. Dong
    Spatiotemporal Coupling and Scaling of Natural Images and Human Visual Sensitivities. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:859-865 [Conf]
  121. Michael S. Gray, Alexandre Pouget, Richard S. Zemel, Steven J. Nowlan, Terrence J. Sejnowski
    Selective Integration: A Model for Disparity Estimation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:866-872 [Conf]
  122. Stephen Grossberg, James R. Williamson
    ARTEX: A Self-organizing Architecture for Classifying Image Regions. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:873-879 [Conf]
  123. José A. F. Leite, Edwin R. Hancock
    Contour Organisation with the EM Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:880-886 [Conf]
  124. Trevor Mundel, Alexander Dimitrov, Jack D. Cowan
    Visual Cortex Circuitry and Orientation Tuning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:887-893 [Conf]
  125. Curtis Padgett, Garrison W. Cottrell
    Representing Face Images for Emotion Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:894-900 [Conf]
  126. Simon J. Thorpe, Jacques Gautrais
    Rapid Visual Processing using Spike Asynchrony. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:901-907 [Conf]
  127. Yair Weiss
    Interpreting Images by Propagating Bayesian Beliefs. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:908-914 [Conf]
  128. Shih-Cheng Yen, Leif H. Finkel
    Salient Contour Extraction by Temporal Binding in a Cortically-based Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:915-924 [Conf]
  129. Halina Abramowicz, David Horn, Ury Naftaly, Carmit Sahar-Pikielny
    An Orientation Selective Neural Network for Pattern Identification in Particle Detectors. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:925-931 [Conf]
  130. Timothy X. Brown
    Adaptive Access Control Applied to Ethernet Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:932-938 [Conf]
  131. David A. Cohn, Satinder P. Singh
    Predicting Lifetimes in Dynamically Allocated Memory. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:939-945 [Conf]
  132. Joumana Ghosn, Yoshua Bengio
    Multi-Task Learning for Stock Selection. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:946-952 [Conf]
  133. Michael Mozer, Lucky Vidmar, Robert H. Dodier
    The Neurothermostat: Predictive Optimal Control of Residential Heating Systems. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:953-959 [Conf]
  134. Mahesan Niranjan
    Sequential Tracking in Pricing Financial Options using Model Based and Neural Network Approaches. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:960-966 [Conf]
  135. Tony Plate, Pierre Band, Joel Bert, John Grace
    A Comparison between Neural Networks and other Statistical Techniques for Modeling the Relationship between Tobacco and Alcohol and Cancer. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:967-973 [Conf]
  136. Satinder P. Singh, Dimitri P. Bertsekas
    Reinforcement Learning for Dynamic Channel Allocation in Cellular Telephone Systems. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:974-980 [Conf]
  137. Kagan Tumer, Nirmala Ramanujam, Rebecca R. Richards-Kortum, Joydeep Ghosh
    Spectroscopic Detection of Cervical Pre-Cancer through Radial Basis Function Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:981-987 [Conf]
  138. Ernest Wan, Don Bone
    Interpolating Earth-science Data using RBF Networks and Mixtures of Experts. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:988-994 [Conf]
  139. Lizhong Wu, John E. Moody
    Multi-effect Decompositions for Financial Data Modeling. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:995-1004 [Conf]
  140. Scott Davies
    Multidimensional Triangulation and Interpolation for Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:1005-1011 [Conf]
  141. Kenji Doya
    Efficient Nonlinear Control with Actor-Tutor Architecture. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:1012-1018 [Conf]
  142. Michael O. Duff, Andrew G. Barto
    Local Bandit Approximation for Optimal Learning Problems. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:1019-1025 [Conf]
  143. Eric A. Hansen, Andrew G. Barto, Shlomo Zilberstein
    Reinforcement Learning for Mixed Open-loop and Closed-loop Control. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:1026-1032 [Conf]
  144. Stephan Pareigis
    Multi-Grid Methods for Reinforcement Learning in Controlled Diffusion Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:1033-1039 [Conf]
  145. Stefan Schaal
    Learning from Demonstration. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:1040-1046 [Conf]
  146. Jeff G. Schneider
    Exploiting Model Uncertainty Estimates for Safe Dynamic Control Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:1047-1053 [Conf]
  147. Satinder P. Singh, Peter Dayan
    Analytical Mean Squared Error Curves in Temporal Difference Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:1054-1060 [Conf]
  148. Magnus Stensmo, Terrence J. Sejnowski
    Learning Decision Theoretic Utilities through Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:1061-1067 [Conf]
  149. Gerald Tesauro, Gregory R. Galperin
    On-line Policy Improvement using Monte-Carlo Search. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:1068-1074 [Conf]
  150. John N. Tsitsiklis, Benjamin Van Roy
    Analysis of Temporal-Diffference Learning with Function Approximation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:1075-1081 [Conf]
  151. John N. Tsitsiklis, Benjamin Van Roy
    Approximate Solutions to Optimal Stopping Problems. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:1082-1088 [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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