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Conferences in DBLP

Neural Information Processing Systems (NIPS) (nips)
1998 (conf/nips/1998)

  1. Nikhil Bhushan, Reza Shadmehr
    Evidence for a Forward Dynamics Model in Human Adaptive Motor Control. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:3-9 [Conf]
  2. Ke Chen, DeLiang L. Wang
    Perceiving without Learning: From Spirals to Inside/Outside Relations. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:10-16 [Conf]
  3. G. Bjorn Christianson, Suzanna Becker
    A Model for Associative Multiplication. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:17-23 [Conf]
  4. Matthew N. Dailey, Garrison W. Cottrell, Thomas A. Busey
    Facial Memory Is Kernel Density Estimation (Almost). [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:24-30 [Conf]
  5. Masahiko Haruno, Daniel M. Wolpert, Mitsuo Kawato
    Multiple Paired Forward-Inverse Models for Human Motor Learning and Control. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:31-37 [Conf]
  6. Bradley C. Love
    Utilizing lime: Asynchronous Binding. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:38-44 [Conf]
  7. Zili Liu, Daphna Weinshall
    Mechanisms of Generalization in Perceptual Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:45-51 [Conf]
  8. Michael Mozer
    A Principle for Unsupervised Hierarchical Decomposition of Visual Scenes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:52-58 [Conf]
  9. Joshua B. Tenenbaum
    Bayesian Modeling of Human Concept Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:59-68 [Conf]
  10. L. F. Abbott, Sen Song
    Temporally Asymmetric Hebbian Learning, Spike liming and Neural Response Variability. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:69-75 [Conf]
  11. Péter Adorján, Klaus Obermayer
    Contrast Adaptation in Simple Cells by Changing the Transmitter Release Probability. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:76-82 [Conf]
  12. Pierre Baraduc, Emmanuel Guigon, Yves Burnod
    Where Does the Population Vector of Motor Cortical Cells Point during Reaching Movements? [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:83-89 [Conf]
  13. Frances S. Chance, Sacha B. Nelson, L. F. Abbott
    Recurrent Cortical Amplification Produces Complex Cell Responses. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:90-96 [Conf]
  14. Gal Chechik, Isaac Meilijson, Eytan Ruppin
    Neuronal Regulation Implements Efficient Synaptic Pruning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:97-103 [Conf]
  15. Sophie Deneve, Alexandre Pouget, Peter E. Latham
    Divisive Normalization, Line Attractor Networks and Ideal Observers. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:104-110 [Conf]
  16. Itay Gat, Naftali Tishby
    Synergy and Redundancy among Brain Cells of Behaving Monkeys. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:111-117 [Conf]
  17. Tzyy-Ping Jung, Scott Makeig, Marissa Westerfield, Jeanne Townsend, Eric Courchesne, Terrence J. Sejnowski
    Analyzing and Visualizing Single-Trial Event-Related Potentials. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:118-124 [Conf]
  18. Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen
    Spike-Based Compared to Rate-Based Hebbian Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:125-131 [Conf]
  19. Amit Manwani, Christof Koch
    Signal Detection in Noisy Weakly-Active Dendrites. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:132-138 [Conf]
  20. Christian Piepenbrock, Klaus Obermayer
    The Role of Lateral Cortical Competition in Ocular Dominance Development. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:139-145 [Conf]
  21. Dmitry Rinberg, Hanan Davidowitz, Naftali Tishby
    Multi-Electrode Spike Sorting by Clustering Transfer Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:146-152 [Conf]
  22. Eero P. Simoncelli, Odelia Schwartz
    Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:153-159 [Conf]
  23. Martin Stemmler, Christof Koch
    Information Maximization in Single Neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:160-166 [Conf]
  24. Hyoungsoo Yoon, Haim Sompolinsky
    The Effect of Correlations on the Fisher Information of Population Codes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:167-173 [Conf]
  25. Richard S. Zemel, Peter Dayan
    Distributional Population Codes and Multiple Motion Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:174-182 [Conf]
  26. David Barber, Wim Wiegerinck
    Tractable Variational Structures for Approximating Graphical Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:183-189 [Conf]
  27. Peter L. Bartlett, Vitaly Maiorov, Ron Meir
    Almost Linear VC Dimension Bounds for Piecewise Polynomial Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:190-196 [Conf]
  28. Anthony C. C. Coolen, David Saad
    Dynamics of Supervised Learning with Restricted Training Sets. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:197-203 [Conf]
  29. Nello Cristianini, Colin Campbell, John Shawe-Taylor
    Dynamically Adapting Kernels in Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:204-210 [Conf]
  30. A. Düring, Anthony C. C. Coolen, D. Sherrington
    Phase Diagram and Storage Capacity of Sequence-Storing Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:211-217 [Conf]
  31. Giancarlo Ferrari-Trecate, Christopher K. I. Williams, Manfred Opper
    Finite-Dimensional Approximation of Gaussian Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:218-224 [Conf]
  32. Claudio Gentile, Manfred K. Warmuth
    Linear Hinge Loss and Average Margin. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:225-231 [Conf]
  33. Didier Herschkowitz, Jean-Pierre Nadal
    Unsupervised and Supervised Clustering: The Mutual Information between Parameters and Observations. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:232-238 [Conf]
  34. Shiro Ikeda, Shun-ichi Amari, Hiroyuki Nakahara
    Convergence of the Wake-Sleep Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:239-245 [Conf]
  35. Yoshiyuki Kabashima, David Saad
    The Belief in TAP. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:246-252 [Conf]
  36. Grigoris J. Karakoulas, John Shawe-Taylor
    Optimizing Classifers for Imbalanced Training Sets. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:253-259 [Conf]
  37. Michael J. Kearns, Lawrence K. Saul
    Inference in Multilayer Networks via Large Deviation Bounds. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:260-266 [Conf]
  38. Friedrich Leisch, Adrian Trapletti, Kurt Hornik
    Stationarity and Stability of Autoregressive Neural Network Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:267-273 [Conf]
  39. Zhaoping Li, Peter Dayan
    Computational Differences between Asymmetrical and Symmetrical Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:274-280 [Conf]
  40. Wolfgang Maass, Eduardo D. Sontag
    A Precise Characterization of the Class of Languages Recognized by Neural Nets under Gaussian and Other Common Noise Distributions. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:281-287 [Conf]
  41. Llew Mason, Peter L. Bartlett, Jonathan Baxter
    Direct Optimization of Margins Improves Generalization in Combined Classifiers. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:288-294 [Conf]
  42. Ron Meir, Vitaly Maiorov
    On the Optimality of Incremental Neural Network Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:295-301 [Conf]
  43. Manfred Opper, Francesco Vivarelli
    General Bounds on Bayes Errors for Regression with Gaussian Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:302-308 [Conf]
  44. Manfred Opper, Ole Winther
    Mean Field Methods for Classification with Gaussian Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:309-315 [Conf]
  45. H. C. Rae, Peter Sollich, Anthony C. C. Coolen
    On-Line Learning with Restricted Training Sets: Exact Solution as Benchmark for General Theories. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:316-322 [Conf]
  46. Akito Sakurai
    Tight Bounds for the VC-Dimension of Piecewise Polynomial Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:323-329 [Conf]
  47. Bernhard Schölkopf, Peter L. Bartlett, Alex J. Smola, Robert C. Williamson
    Shrinking the Tube: A New Support Vector Regression Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:330-336 [Conf]
  48. N. S. Skantzos, C. F. Beckmann, Anthony C. C. Coolen
    Discontinuous Recall Transitions Induced by Competition Between Short- and Long-Range Interactions in Recurrent Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:337-345 [Conf]
  49. Peter Sollich
    Learning Curves for Gaussian Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:344-350 [Conf]
  50. Toshiyuki Tanaka
    A Theory of Mean Field Approximation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:351-360 [Conf]
  51. Hagai Attias
    Learning a Hierarchical Belief Network of Independent Factor Analyzers. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:361-367 [Conf]
  52. Kristin P. Bennett, Ayhan Demiriz
    Semi-Supervised Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:368-374 [Conf]
  53. Mauro Birattari, Gianluca Bontempi, Hugues Bersini
    Lazy Learning Meets the Recursive Least Squares Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:375-381 [Conf]
  54. Christopher M. Bishop
    Bayesian PCA. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:382-388 [Conf]
  55. Andrew Blake, Ben North, Michael Isard
    Learning Multi-Class Dynamics. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:389-395 [Conf]
  56. Xavier Boyen, Daphne Koller
    Approximate Learning of Dynamic Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:396-402 [Conf]
  57. Thomas Briegel, Volker Tresp
    Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:403-409 [Conf]
  58. João F. G. de Freitas, Mahesan Niranjan, Arnaud Doucet, Andrew H. Gee
    Global Optimisation of Neural Network Models via Sequential Sampling. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:410-416 [Conf]
  59. Nir Friedman, Yoram Singer
    Efficient Bayesian Parameter Estimation in Large Discrete Domains. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:417-423 [Conf]
  60. Yoram Gdalyahu, Daphna Weinshall, Michael Werman
    A Randomized Algorithm for Pairwise Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:424-430 [Conf]
  61. Zoubin Ghahramani, Sam T. Roweis
    Learning Nonlinear Dynamical Systems Using an EM Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:431-437 [Conf]
  62. Thore Graepel, Ralf Herbrich, Peter Bollmann-Sdorra, Klaus Obermayer
    Classification on Pairwise Proximity Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:438-444 [Conf]
  63. Yves Grandvalet, Stéphane Canu
    Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:445-451 [Conf]
  64. Marcus Held, Jan Puzicha, Joachim M. Buhmann
    Visualizing Group Structure. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:452-458 [Conf]
  65. Sepp Hochreiter, Jürgen Schmidhuber
    Source Separation as a By-Product of Regularization. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:459-465 [Conf]
  66. Thomas Hofmann, Jan Puzicha, Michael I. Jordan
    Learning from Dyadic Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:466-472 [Conf]
  67. Aapo Hyvärinen, Patrik O. Hoyer, Erkki Oja
    Sparse Code Shrinkage: Denoising by Nonlinear Maximum Likelihood Estimation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:473-479 [Conf]
  68. Charles Lee Isbell Jr., Paul A. Viola
    Restructuring Sparse High Dimensional Data for Effective Retrieval. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:480-486 [Conf]
  69. Tommi Jaakkola, David Haussler
    Exploiting Generative Models in Discriminative Classifiers. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:487-493 [Conf]
  70. Tony Jebara, Alex Pentland
    Maximum Conditional Likelihood via Bound Maximization and the CEM Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:494-500 [Conf]
  71. Balázs Kégl, Adam Krzyzak, Tamás Linder, Kenneth Zeger
    A Polygonal Line Algorithm for Constructing Principal Curves. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:501-507 [Conf]
  72. Te-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski
    Unsupervised Classification with Non-Gaussian Mixture Models Using ICA. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:508-514 [Conf]
  73. Daniel D. Lee, Haim Sompolinsky
    Learning a Continuous Hidden Variable Model for Binary Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:515-521 [Conf]
  74. Malik Magdon-Ismail, Amir F. Atiya
    Neural Networks for Density Estimation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:522-528 [Conf]
  75. Alan D. Marrs, Andrew R. Webb
    Exploratory Data Analysis Using Radial Basis Function Latent Variable Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:529-535 [Conf]
  76. Sebastian Mika, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller, Matthias Scholz, Gunnar Rätsch
    Kernel PCA and De-Noising in Feature Spaces. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:536-542 [Conf]
  77. Andrew W. Moore
    Very Fast EM-Based Mixture Model Clustering Using Multiresolution Kd-Trees. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:543-549 [Conf]
  78. Marcello Pelillo
    Replicator Equations, Maximal Cliques, and Graph Isomorphism. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:550-556 [Conf]
  79. John C. Platt
    Using Analytic QP and Sparseness to Speed Training of Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:557-563 [Conf]
  80. Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller
    Regularizing AdaBoost. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:564-570 [Conf]
  81. Patrice Simard, Léon Bottou, Patrick Haffner, Yann LeCun
    Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:571-577 [Conf]
  82. Yoram Singer, Manfred K. Warmuth
    Batch and On-Line Parameter Estimation of Gaussian Mixtures Based on the Joint Entropy. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:578-584 [Conf]
  83. Alex J. Smola, Thilo-Thomas Frieß, Bernhard Schölkopf
    Semiparametric Support Vector and Linear Programming Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:585-591 [Conf]
  84. Michael E. Tipping
    Probabilistic Visualisation of High-Dimensional Binary Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:592-598 [Conf]
  85. Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton
    SMEM Algorithm for Mixture Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:599-605 [Conf]
  86. Nuno Vasconcelos, Andrew Lippman
    Learning Mixture Hierarchies. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:606-612 [Conf]
  87. Francesco Vivarelli, Christopher K. I. Williams
    Discovering Hidden Features with Gaussian Processes Regression. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:613-619 [Conf]
  88. Grace Wahba, Xiwu Lin, Fangyu Gao, Dong Xiang, Ronald Klein, Barbara Klein
    The Bias-Variance Tradeoff and the Randomized GACV. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:620-626 [Conf]
  89. Kevin R. Wheeler, Atam P. Dhawan
    Basis Selection for Wavelet Regression. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:627-633 [Conf]
  90. Christopher K. I. Williams, Nicholas J. Adams
    DTs: Dynamic Trees. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:634-640 [Conf]
  91. Alan L. Yuille, James M. Coughlan
    Convergence Rates of Algorithms for Visual Search: Detecting Visual Contours. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:641-647 [Conf]
  92. Liqing Zhang, Andrzej Cichocki
    Blind Separation of Filtered Sources Using State-Space Approach. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:648-656 [Conf]
  93. Gert Cauwenberghs, James Waskiewicz
    Analog VLSI Cellular Implementation of the Boundary Contour System. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:657-663 [Conf]
  94. Jung-Wook Cho, Soo-Young Lee
    Active Noise Canceling Using Analog Neuro-Chip with On-Chip Learning Capability. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:664-670 [Conf]
  95. Richard Coggins, Raymond J. Wang, Marwan A. Jabri
    A Micropower CMOS Adaptive Amplitude and Shift Invariant Vector Quantiser. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:671-677 [Conf]
  96. R. Timothy Edwards, Gert Cauwenberghs, Fernando J. Pineda
    Optimizing Correlation Algorithms for Hardware-Based Transient Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:678-684 [Conf]
  97. Ralph Etienne-Cummings, Viktor Gruev, Mohammed Abdel Ghani
    VLSI Implementation of Motion Centroid Localization for Autonomous Navigation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:685-691 [Conf]
  98. John G. Harris, Chiang-Jung Pu, José Carlos Príncipe
    A Neuromorphic Monaural Sound Localizer. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:692-698 [Conf]
  99. Charles M. Higgins, Christof Koch
    An Integrated Vision Sensor for the Computation of Optical Flow Singular Points. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:699-705 [Conf]
  100. Alan Stocker, Rodney J. Douglas
    Computation of Smooth Optical Flow in a Feedback Connected Analog Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:706-712 [Conf]
  101. Ping Zhou, Jim Austin, John Kennedy
    A High Performance k-NN Classifier Using a Binary Correlation Matrix Memory. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:713-722 [Conf]
  102. Matthew Brand
    An Entropic Estimator for Structure Discovery. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:723-729 [Conf]
  103. Michael S. Lewicki, Terrence J. Sejnowski
    Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:730-736 [Conf]
  104. Christoph Neukirchen, Gerhard Rigoll
    Controlling the Complexity of HMM Systems by Regularization. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:737-743 [Conf]
  105. David A. Nix, John E. Hogden
    Maximum-Likelihood Continuity Mapping (MALCOM): An Alternative to HMMs. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:744-750 [Conf]
  106. Lawrence K. Saul, Mazin G. Rahim
    Markov Processes on Curves for Automatic Speech Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:751-760 [Conf]
  107. James M. Coughlan, Alan L. Yuille
    A Phase Space Approach to Minimax Entropy Learning and the Minutemax Approximations. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:761-767 [Conf]
  108. Trevor Darrell
    Example-Based Image Synthesis of Articulated Figures. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:768-774 [Conf]
  109. William T. Freeman, Egon C. Pasztor
    Learning to Estimate Scenes from Images. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:775-781 [Conf]
  110. Sergey Ioffe, David A. Forsyth
    Learning to Find Pictures of People. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:782-788 [Conf]
  111. Laurent Itti, Jochen Braun, Dale K. Lee, Christof Koch
    Attentional Modulation of Human Pattern Discrimination Psychophysics Reproduced by a Quantitative Model. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:789-795 [Conf]
  112. Zhaoping Li
    A V1 Model of Pop Out and Asymmetty in Visual Search. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:796-802 [Conf]
  113. P. Jonathon Phillips
    Support Vector Machines Applied to Face Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:803-809 [Conf]
  114. Rajesh P. N. Rao, Daniel L. Ruderman
    Learning Lie Groups for Invariant Visual Perception. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:810-816 [Conf]
  115. Ruth Rosenholtz
    General-Purpose Localization of Textured Image Regions. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:817-823 [Conf]
  116. Ravi K. Sharma, Todd K. Leen, Misha Pavel
    Probabilistic Image Sensor Fusion. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:824-830 [Conf]
  117. Karvel K. Thornber, Lance R. Williams
    Orientation, Scale, and Discontinuity as Emergent Properties of Illusory Contour Shape. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:831-837 [Conf]
  118. Daphna Weinshall, David W. Jacobs, Yoram Gdalyahu
    Classification in Non-Metric Spaces. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:838-846 [Conf]
  119. Shumeet Baluja
    Making Templates Rotationally Invariant. An Application to Rotated Digit Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:847-853 [Conf]
  120. Shumeet Baluja
    Probabilistic Modeling for Face Orientation Discrimination: Learning from Labeled and Unlabeled Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:854-860 [Conf]
  121. Dan Cornford, Ian T. Nabney, Christopher K. I. Williams
    Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:861-867 [Conf]
  122. Gideon Dror, Halina Abramowicz, David Horn
    Vertex Identification in High Energy Physics Experiments. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:868-874 [Conf]
  123. Eric Granger, Stephen Grossberg, Mark A. Rubin, William W. Streilein
    Familiarity Discrimination of Radar Pulses. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:875-881 [Conf]
  124. Radek Grzeszczuk, Demetri Terzopoulos, Geoffrey E. Hinton
    Fast Neural Network Emulation of Dynamical Systems for Computer Animation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:882-888 [Conf]
  125. Jaakko Hollmén, Volker Tresp
    Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:889-895 [Conf]
  126. Benoit Huet, Andrew D. J. Cross, Edwin R. Hancock
    Graph Matching for Shape Retrieval. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:896-902 [Conf]
  127. Amy McGovern, J. Eliot B. Moss
    Scheduling Straight-Line Code Using Reinforcement Learning and Rollouts. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:903-909 [Conf]
  128. Baback Moghaddam, Tony Jebara, Alex Pentland
    Bayesian Modeling of Facial Similarity. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:910-916 [Conf]
  129. John E. Moody, Matthew Saffell
    Reinforcement Learning for Trading. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:917-923 [Conf]
  130. Nuria Oliver, Barbara Rosario, Alex Pentland
    Graphical Models for Recognizing Human Interactions. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:924-930 [Conf]
  131. Klaus Prank, Julia Börger, Alexander von zur Mühlen, Georg Brabant, Christof Schöfl
    Independent Component Analysis of Intracellular Calcium Spike Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:931-937 [Conf]
  132. Clay Spence, Paul Sajda
    Applications of Multi-Resolution Neural Networks to Mammography. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:938-944 [Conf]
  133. Matthew M. Williamson, Roderick Murray-Smith, Volker Hansen
    Robot Docking Using Mixtures of Gaussians. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:945-951 [Conf]
  134. David Wolpert, Kagan Turner, Jeremy Frank
    Using Collective Intelligence to Route Internet Traffic. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:952-960 [Conf]
  135. Mohammad A. Al-Ansari, Ronald J. Williams
    Robust, Efficient, Globally-Optimized Reinforcement Learning with the Parti-Game Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:961-967 [Conf]
  136. Leemon C. Baird III, Andrew W. Moore
    Gradient Descent for General Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:968-974 [Conf]
  137. Lyndon J. Brown, Gregory E. Gonye, James S. Schwaber
    Non-Linear PI Control Inspired by Biological Control Systems. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:975-981 [Conf]
  138. Timothy X. Brown, Hui Tong, Satinder P. Singh
    Optimizing Admission Control while Ensuring Quality of Service in Multimedia Networks via Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:982-988 [Conf]
  139. Akira Hayashi, Nobuo Suematsu
    Viewing Classifier Systems as Model Free Learning in POMDPs. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:989-995 [Conf]
  140. Michael J. Kearns, Satinder P. Singh
    Finite-Sample Convergence Rates for Q-Learning and Indirect Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:996-1002 [Conf]
  141. Sven Koenig
    Exploring Unknown Environments with Real-Time Search or Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:1003-1009 [Conf]
  142. John Loch
    The Effect of Eligibility Traces on Finding Optimal Memoryless Policies in Partially Observable Markov Decision Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:1010-1016 [Conf]
  143. Robert Moll, Andrew G. Barto, Theodore J. Perkins, Richard S. Sutton
    Learning Instance-Independent Value Functions to Enhance Local Search. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:1017-1023 [Conf]
  144. Rémi Munos, Andrew W. Moore
    Barycentric Interpolators for Continuous Space and Time Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:1024-1030 [Conf]
  145. Ralph Neuneier, Oliver Mihatsch
    Risk Sensitive Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:1031-1037 [Conf]
  146. Eimei Oyama, Susumu Tachi
    Coordinate Transformation Learning of Hand Position Feedback Controller by Using Change of Position Error Norm. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:1038-1044 [Conf]
  147. Jette Randlov
    Learning Macro-Actions in Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:1045-1051 [Conf]
  148. Masa-aki Sato, Shin Ishii
    Reinforcement Learning Based on On-Line EM Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:1052-1058 [Conf]
  149. Nobuo Suematsu, Akira Hayashi
    A Reinforcement Learning Algorithm in Partially Observable Environments Using Short-Term Memory. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:1059-1065 [Conf]
  150. Richard S. Sutton, Satinder P. Singh, Doina Precup, Balaraman Ravindran
    Improved Switching among Temporally Abstract Actions. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:1066-1072 [Conf]
  151. John K. Williams, Satinder P. Singh
    Experimental Results on Learning Stochastic Memoryless Policies for Partially Observable Markov Decision Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:1073-1080 [Conf]
NOTICE1
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NOTICE2
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