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Conferences in DBLP

Neural Information Processing Systems (NIPS) (nips)
2003 (conf/nips/2003)

  1. Alexander J. Smola, Vishy Vishwanathan, Eleazar Eskin
    Laplace Propagation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  2. Charles R. Rosenberg, Thomas P. Minka, Alok Ladsariya
    Bayesian Color Constancy with Non-Gaussian Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  3. Kazuyuki Samejima, Kenji Doya, Yasumasa Ueda, Minoru Kimura
    Estimating Internal Variables and Paramters of a Learning Agent by a Particle Filter. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  4. Nicoleta Roman, DeLiang L. Wang, Guy J. Brown
    A Classification-based Cocktail-party Processor. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  5. Maneesh Sahani, Srikantan S. Nagarajan
    Reconstructing MEG Sources with Unknown Correlations. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  6. Maneesh Sahani
    A Biologically Plausible Algorithm for Reinforcement-shaped Representational Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  7. Bob Ricks, Dan Ventura
    Training a Quantum Neural Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  8. Virginia R. de Sa
    Sensory Modality Segregation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  9. Salvador Ruiz-Correa, Linda G. Shapiro, Marina Meila, Gabriel Berson
    Discriminating Deformable Shape Classes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  10. Carl Edward Rasmussen, Malte Kuss
    Gaussian Processes in Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  11. Deva Ramanan, David A. Forsyth
    Automatic Annotation of Everyday Movements. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  12. Saharon Rosset, Ji Zhu, Trevor Hastie
    Margin Maximizing Loss Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  13. Volker Roth, Tilman Lange
    Feature Selection in Clustering Problems. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  14. Noam Shental, Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
    Computing Gaussian Mixture Models with EM Using Equivalence Constraints. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  15. Leonid Sigal, Michael Isard, Benjamin H. Sigelman, Michael J. Black
    Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  16. Shai Shalev-Shwartz, Koby Crammer, Ofer Dekel, Yoram Singer
    Online Passive-Aggressive Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  17. Rock Z. Shi, Timothy K. Horiuchi
    A Summating, Exponentially-Decaying CMOS Synapse for Spiking Neural Systems. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  18. Noam Shental, Assaf Zomet, Tomer Hertz, Yair Weiss
    Pairwise Clustering and Graphical Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  19. Clayton Scott, Robert Nowak
    Near-Minimax Optimal Classification with Dyadic Classification Trees. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  20. Anton Schwaighofer, Marian Grigoras, Volker Tresp, Clemens Hoffmann
    GPPS: A Gaussian Process Positioning System for Cellular Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  21. Matthew Schultz, Thorsten Joachims
    Learning a Distance Metric from Relative Comparisons. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  22. Cynthia Rudin, Ingrid Daubechies, Robert E. Schapire
    On the Dynamics of Boosting. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  23. Matthew R. Rudary, Satinder P. Singh
    A Nonlinear Predictive State Representation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  24. Liva Ralaivola, Florence d'Alché-Buc
    Dynamical Modeling with Kernels for Nonlinear Time Series Prediction. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  25. Rajat Raina, Yirong Shen, Andrew Y. Ng, Andrew McCallum
    Classification with Hybrid Generative/Discriminative Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  26. Andrew Rabinovich, Sameer Agarwal, Casey Laris, Jeffrey H. Price, Serge Belongie
    Unsupervised Color Decomposition Of Histologically Stained Tissue Samples. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  27. Arnab Nilim, Laurent El Ghaoui
    Robustness in Markov Decision Problems with Uncertain Transition Matrices. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  28. Manfred Opper, Ole Winther
    Variational Linear Response. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  29. XuanLong Nguyen, Michael I. Jordan
    On the Concentration of Expectation and Approximate Inference in Layered Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  30. Andrew Y. Ng, H. Jin Kim, Michael I. Jordan, Shankar Sastry
    Autonomous Helicopter Flight via Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  31. Daniel B. Neill, Andrew W. Moore
    A Fast Multi-Resolution Method for Detection of Significant Spatial Disease Clusters. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  32. Radford M. Neal, Matthew J. Beal, Sam T. Roweis
    Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  33. Thomas Natschläger, Wolfgang Maass
    Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  34. Tomohiro Nakatani, Masato Miyoshi, Keisuke Kinoshita
    One Microphone Blind Dereverberation Based on Quasi-periodicity of Speech Signals. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  35. Kevin P. Murphy, Antonio B. Torralba, William T. Freeman
    Graphical Model For Recognizing Scenes and Objects. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  36. Eiji Mizutani, James Demmel
    Iterative Scaled Trust-Region Learning in Krylov Subspaces via Pearlmutter's Implicit Sparse Hessian-Vector Multiply. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  37. Christopher J. Paciorek, Mark J. Schervish
    Nonstationary Covariance Functions for Gaussian Process Regression. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  38. Liam Paninski
    Design of Experiments via Information Theory. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  39. Michael J. Quinlan, Stephan K. Chalup, Richard H. Middleton
    Application of SVMs for Colour Classification and Collision Detection with AIBO Robots. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  40. Pascal Poupart, Craig Boutilier
    Bounded Finite State Controllers. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  41. Bernd Porr, Ausra Saudargiene, Florentin Wörgötter
    Analytical Solution of Spike-timing Dependent Plasticity Based on Synaptic Biophysics. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  42. John C. Platt
    Fast Embedding of Sparse Similarity Graphs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  43. Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
    Applying Metric-Trees to Belief-Point POMDPs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  44. Jonathan Pillow, Liam Paninski, Eero P. Simoncelli
    Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  45. Lyndsey C. Pickup, Stephen J. Roberts, Andrew Zisserman
    A Sampled Texture Prior for Image Super-Resolution. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  46. David Philipona, J. K. O'Regan, Jean-Pierre Nadal, Olivier J. M. D. Coenen
    Perception of the Structure of the Physical World Using Unknown Multimodal Sensors and Effectors. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  47. Mark A. Paskin
    Sample Propagation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  48. David C. Parkes, Satinder P. Singh
    An MDP-Based Approach to Online Mechanism Design. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  49. Yoichi Miyawaki, Masato Okada
    Mechanism of Neural Interference by Transcranial Magnetic Stimulation: Network or Single Neuron? [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  50. Edward Snelson, Carl Edward Rasmussen, Zoubin Ghahramani
    Warped Gaussian Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  51. Ji Zhu, Saharon Rosset, Trevor Hastie, Robert Tibshirani
    1-norm Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  52. David P. Wipf, Jason A. Palmer, Bhaskar D. Rao
    Perspectives on Sparse Bayesian Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  53. Jason Weston, Christina S. Leslie, Dengyong Zhou, André Elisseeff, William Stafford Noble
    Semi-supervised Protein Classification Using Cluster Kernels. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  54. Justin Werfel, Xiaohui Xie, H. Sebastian Seung
    Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  55. Max Welling, Yee Whye Teh
    Linear Response for Approximate Inference. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  56. Max Welling, Felix V. Agakov, Christopher K. I. Williams
    Extreme Components Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  57. Zhou Wang, Eero P. Simoncelli
    Local Phase Coherence and the Perception of Blur. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  58. Xiao Feng Wang, Tuomas Sandholm
    Learning Near-Pareto-Optimal Conventions in Polynomial Time. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  59. Song Wang, Toshiro Kubota, Jeffrey Mark Siskind
    Salient Boundary Detection using Ratio Contour. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  60. Xuerui Wang, Rebecca Hutchinson, Tom M. Mitchell
    Training fMRI Classifiers to Discriminate Cognitive States across Multiple Subjects. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  61. Martin J. Wainwright, Michael I. Jordan
    Semidefinite Relaxations for Approximate Inference on Graphs with Cycles. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  62. Ting-Fan Wu, Chih-Jen Lin, Ruby C. Weng
    Probability Estimates for Multi-Class Classification by Pairwise Coupling. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  63. Jianxin Wu, James M. Rehg, Matthew D. Mullin
    Learning a Rare Event Detection Cascade by Direct Feature Selection. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  64. Dengyong Zhou, Jason Weston, Arthur Gretton, Olivier Bousquet, Bernhard Schölkopf
    Ranking on Data Manifolds. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  65. Yu Zhou, Steven G. Mason, Gary E. Birch
    Impact of an Energy Normalization Transform on the Performance of the LF-ASD Brain Computer Interface. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  66. Dengyong Zhou, Olivier Bousquet, Thomas Navin Lal, Jason Weston, Bernhard Schölkopf
    Learning with Local and Global Consistency. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  67. Alice X. Zheng, Michael I. Jordan, Ben Liblit, Alexander Aiken
    Statistical Debugging of Sampled Programs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  68. Tong Zhang
    Learning Bounds for a Generalized Family of Bayesian Posterior Distributions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  69. Tong Zhang
    An Infinity-sample Theory for Multi-category Large Margin Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  70. Alan L. Yuille, Fang Fang, Paul R. Schrater, Daniel Kersten
    Human and Ideal Observers for Detecting Image Curves. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  71. Chen Yanover, Yair Weiss
    Finding the M Most Probable Configurations in Arbitrary Graphical Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  72. Masakazu Yagi, Hideo Yamasaki, Tadashi Shibata
    A Mixed-Signal VLSI for Real-Time Generation of Edge-Based Image Vectors. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  73. Reto Wyss, Paul F. M. J. Verschure
    Bounded Invariance and the Formation of Place Fields.. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  74. Vladimir Vovk, Glenn Shafer, Ilia Nouretdinov
    Self-calibrating Probability Forecasting. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  75. Roland Vollgraf, Michael Scholz, Ian A. Meinertzhagen, Klaus Obermayer
    Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  76. Jaco Vermaak, Simon J. Godsill, Arnaud Doucet
    Sequential Bayesian Kernel Regression. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  77. Jun Suzuki, Yutaka Sasaki, Eisaku Maeda
    Kernels for Structured Natural Language Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  78. Yuuya Sugita, Jun Tani
    A Holistic Approach to Compositional Semantics: A Connectionist Model and Robot Experiments. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  79. Thomas Strohmann, Andrei Belitski, Gregory Z. Grudic, Dennis DeCoste
    Sparse Greedy Minimax Probability Machine Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  80. Amos J. Storkey
    Generalised Propagation for Fast Fourier Transforms with Partial or Missing Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  81. Susanne Still, William Bialek, Léon Bottou
    Geometric Clustering Using the Information Bottleneck Method. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  82. Ingo Steinwart
    Sparseness of Support Vector Machines---Some Asymptotically Sharp Bounds. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  83. Harald Steck, Tommi Jaakkola
    Bias-Corrected Bootstrap and Model Uncertainty. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  84. Anuj Srivastava, Xiuwen Liu, Washington Mio, Eric Klassen
    A Computational Geometric Approach to Shape Analysis in Images. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  85. Nathan Srebro, Tommi Jaakkola
    Linear Dependent Dimensionality Reduction. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  86. Nathan Sprague, Dana H. Ballard
    Eye Movements for Reward Maximization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  87. Saori C. Tanaka, Kenji Doya, Go Okada, Kazutaka Ueda, Yasumasa Okamoto, Shigeto Yamawaki
    Different Cortico-Basal Ganglia Loops Specialize in Reward Prediction at Different Time Scales. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  88. Benjamin Taskar, Carlos Guestrin, Daphne Koller
    Max-Margin Markov Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  89. Jakob J. Verbeek, Sam T. Roweis, Nikos A. Vlassis
    Non-linear CCA and PCA by Alignment of Local Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  90. Koji Tsuda, Gunnar Rätsch
    Image Reconstruction by Linear Programming. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  91. Eric K. C. Tsang, Bertram Emil Shi
    A Neuromorphic Multi-chip Model of a Disparity Selective Complex Cell. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  92. Marc Toussaint
    Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  93. Lorenzo Torresani, Aaron Hertzmann, Christoph Bregler
    Learning Non-Rigid 3D Shape from 2D Motion. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  94. Peter J. Thomas, Donald J. Spencer, Sierra K. Hampton, Peter Park, Joseph P. Zurkus
    The Diffusion-Limited Biochemical Signal-Relay Channel. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  95. Georgios Theocharous, Leslie Pack Kaelbling
    Approximate Planning in POMDPs with Macro-Actions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  96. Gerald Tesauro
    Extending Q-Learning to General Adaptive Multi-Agent Systems. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  97. Francesco Tenore, Ralph Etienne-Cummings, M. Anthony Lewis
    Entrainment of Silicon Central Pattern Generators for Legged Locomotory Control. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  98. Benjamin Taskar, Ming Fai Wong, Pieter Abbeel, Daphne Koller
    Link Prediction in Relational Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  99. Zach Solan, David Horn, Eytan Ruppin, Shimon Edelman
    Unsupervised Context Sensitive Language Acquisition from a Large Corpus. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  100. Alan Fern, Sung Wook Yoon, Robert Givan
    Approximate Policy Iteration with a Policy Language Bias. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  101. Aaron C. Courville, Nathaniel D. Daw, Geoffrey J. Gordon, David S. Touretzky
    Model Uncertainty in Classical Conditioning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  102. Corinna Cortes, Mehryar Mohri
    AUC Optimization vs. Error Rate Minimization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  103. Darya Chudova, Christopher Hart, Eric Mjolsness, Padhraic Smyth
    Gene Expression Clustering with Functional Mixture Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  104. Denis V. Chigirev, William Bialek
    Optimal Manifold Representation of Data: An Information Theoretic Approach. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  105. Hsin Chen, Patrice Fleury, Alan F. Murray
    Minimising Contrastive Divergence in Noisy, Mixed-mode VLSI Neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  106. Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss
    Information Bottleneck for Gaussian Variables. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  107. Yu-Han Chang, Tracey Ho, Leslie Pack Kaelbling
    All learning is Local: Multi-agent Learning in Global Reward Games. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  108. Xavier Carreras, Lluís Màrquez
    Online Learning via Global Feedback for Phrase Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  109. William M. Campbell, Joseph P. Campbell, Douglas A. Reynolds, Douglas A. Jones, Timothy R. Leek
    Phonetic Speaker Recognition with Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  110. Matthew Brand
    Minimax Embeddings. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  111. Koby Crammer, Jaz S. Kandola, Yoram Singer
    Online Classification on a Budget. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  112. Peter Dayan, Michael Häusser
    Plasticity Kernels and Temporal Statistics. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  113. David I. Ferguson, Aaron Morris, Dirk Hähnel, Christopher Baker, Zachary Omohundro, Carlos F. Reverte, Scott Thayer, Charles Whittaker, William Whittaker, Wolfram Burgard, Sebastian Thrun
    An Autonomous Robotic System for Mapping Abandoned Mines. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  114. Pedro F. Felzenszwalb, Daniel P. Huttenlocher, Jon M. Kleinberg
    Fast Algorithms for Large-State-Space HMMs with Applications to Web Usage Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  115. Daniela Pucci de Farias, Nimrod Megiddo
    How to Combine Expert (and Novice) Advice when Actions Impact the Environment? [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  116. Claudio Fanti, Marzia Polito, Pietro Perona
    An Improved Scheme for Detection and Labelling in Johansson Displays. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  117. Jan Eichhorn, Andreas S. Tolias, Alexander Zien, Malte Kuss, Carl Edward Rasmussen, Jason Weston, Nikos Logothetis, Bernhard Schölkopf
    Prediction on Spike Data Using Kernel Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  118. Nathan A. Dunn, John S. Conery, Shawn R. Lockery
    Circuit Optimization Predicts Dynamic Network for Chemosensory Orientation in the Nematode C. elegans. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  119. Guido Dornhege, Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller
    Increase Information Transfer Rates in BCI by CSP Extension to Multi-class. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  120. David L. Donoho, Victoria Stodden
    When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts? [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  121. Philip Derbeko, Ran El-Yaniv, Ron Meir
    Error Bounds for Transductive Learning via Compression and Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  122. Ofer Dekel, Christopher D. Manning, Yoram Singer
    Log-Linear Models for Label Ranking. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  123. Olivier Bousquet, Olivier Chapelle, Matthias Hein
    Measure Based Regularization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  124. Léon Bottou, Yann LeCun
    Large Scale Online Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  125. Allan Borodin, Ran El-Yaniv, Vincent Gogan
    Can We Learn to Beat the Best Stock. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  126. Yoshua Bengio, Jean-François Paiement, Pascal Vincent, Olivier Delalleau, Nicolas Le Roux, Marie Ouimet
    Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  127. Cynthia Archer, Todd K. Leen, Antonio Baptista
    Parameterized Novelty Detectors for Environmental Sensor Monitoring. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  128. Stuart Andrews, Thomas Hofmann
    Multiple-Instance Learning via Disjunctive Programming Boosting. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  129. J. Andrew Bagnell, Sham Kakade, Andrew Y. Ng, Jeff G. Schneider
    Policy Search by Dynamic Programming. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  130. Xiaofei He, Partha Niyogi
    Locality Preserving Projections. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  131. Francis R. Bach, Michael I. Jordan
    Learning Spectral Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  132. Yuval Aviel, David Horn, Moshe Abeles
    The Doubly Balanced Network of Spiking Neurons: A Memory Model with High Capacity. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  133. Jean-Yves Audibert, Olivier Bousquet
    PAC-Bayesian Generic Chaining. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  134. Gurinder S. Atwal, William Bialek
    Ambiguous Model Learning Made Unambiguous with 1/f Priors. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  135. Kannan Achan, Sam T. Roweis, Brendan J. Frey
    Probabilistic Inference of Speech Signals from Phaseless Spectrograms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  136. David Barber, Felix V. Agakov
    The IM Algorithm: A Variational Approach to Information Maximization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  137. Curt A. Bererton, Geoffrey J. Gordon, Sebastian Thrun
    Auction Mechanism Design for Multi-Robot Coordination. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  138. Vincent Bonin, Valerio Mante, Matteo Carandini
    Nonlinear Processing in LGN Neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  139. Jeff Bondy, Ian C. Bruce, Suzanna Becker, Simon Haykin
    Predicting Speech Intelligibility from a Population of Neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  140. Adria Bofill-i-Petit, Alan F. Murray
    Synchrony Detection by Analogue VLSI Neurons with Bimodal STDP Synapses. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  141. David M. Blei, Thomas L. Griffiths, Michael I. Jordan, Joshua B. Tenenbaum
    Hierarchical Topic Models and the Nested Chinese Restaurant Process. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  142. Scott A. Beardsley, Lucia M. Vaina
    A Functional Architecture for Motion Pattern Processing in MSTd. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  143. Tijl De Bie, Nello Cristianini
    Convex Methods for Transduction. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  144. Alina Beygelzimer, Irina Rish
    Approximability of Probability Distributions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  145. Yoshua Bengio, Yves Grandvalet
    No Unbiased Estimator of the Variance of K-Fold Cross-Validation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  146. Peter L. Bartlett, Michael I. Jordan, Jon D. McAuliffe
    Large Margin Classifiers: Convex Loss, Low Noise, and Convergence Rates. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  147. Gang Ji, Jeff A. Bilmes
    Necessary Intransitive Likelihood-Ratio Classifiers. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  148. Gökhan H. Bakir, Jason Weston, Bernhard Schölkopf
    Learning to Find Pre-Images. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  149. Michael Fink 0002, Pietro Perona
    Mutual Boosting for Contextual Inference. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  150. Thomas P. Minka, Yuan (Alan) Qi
    Tree-structured Approximations by Expectation Propagation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  151. Su-In Lee, Serafim Batzoglou
    ICA-based Clustering of Genes from Microarray Expression Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  152. Neil D. Lawrence
    Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  153. Victor Lavrenko, R. Manmatha, Jiwoon Jeon
    A Model for Learning the Semantics of Pictures. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  154. James T. Kwok, Brian Mak, Simon Ho
    Eigenvoice Speaker Adaptation via Composite Kernel PCA. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  155. Sanjiv Kumar, Martial Hebert
    Discriminative Fields for Modeling Spatial Dependencies in Natural Images. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  156. Konrad P. Körding, Daniel M. Wolpert
    Probabilistic Inference in Human Sensorimotor Processing. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  157. Woojae Kim, Daniel J. Navarro, Mark A. Pitt, In Jae Myung
    An MCMC-Based Method of Comparing Connectionist Models in Cognitive Science. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  158. Charles Kemp, Thomas L. Griffiths, Sean Stromsten, Joshua B. Tenenbaum
    Semi-Supervised Learning with Trees. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  159. Ryan Kelly, Tai Sing Lee
    Decoding V1 Neuronal Activity using Particle Filtering with Volterra Kernels. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  160. Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Sergei Shishkin, Jianting Cao, Fanji Gu
    Sparse Representation and Its Applications in Blind Source Separation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  161. Haifeng Li, Tao Jiang, Keshu Zhang
    Efficient and Robust Feature Extraction by Maximum Margin Criterion. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  162. Maxim Likhachev, Geoffrey J. Gordon, Sebastian Thrun
    ARA*: Anytime A* with Provable Bounds on Sub-Optimality. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  163. Quaid Morris, Brendan J. Frey
    Denoising and Untangling Graphs Using Degree Priors. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  164. Paul Merolla, Kwabena Boahen
    A Recurrent Model of Orientation Maps with Simple and Complex Cells. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  165. Pedro J. Moreno, Purdy Ho, Nuno Vasconcelos
    A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  166. Claire Monteleoni, Tommi Jaakkola
    Online Learning of Non-stationary Sequences. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  167. Ciamac Cyrus Moallemi, Benjamin Van Roy
    Distributed Optimization in Adaptive Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  168. Benjamin Marlin
    Modeling User Rating Profiles For Collaborative Filtering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  169. Ting Liu, Andrew W. Moore, Alexander G. Gray
    Efficient Exact k-NN and Nonparametric Classification in High Dimensions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  170. Zvika Marx, Ido Dagan, Eli Shamir
    Identifying Structure across Pre-partitioned Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  171. Gwen Littlewort, Marian Stewart Bartlett, Ian R. Fasel, Joel Chenu, Takayuki Kanda, Hiroshi Ishiguro, Javier R. Movellan
    Towards Social Robots: Automatic Evaluation of Human-robot Interaction by Face Detection and Expression Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  172. Dörthe Malzahn, Manfred Opper
    Approximate Analytical Bootstrap Averages for Support Vector Classifiers. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  173. Sung C. Jun, Barak A. Pearlmutter
    Subject-Independent Magnetoencephalographic Source Localization by a Multilayer Perceptron. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  174. Michael J. Kearns, Luis E. Ortiz
    Algorithms for Interdependent Security Games. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  175. David Kauchak, Sanjoy Dasgupta
    An Iterative Improvement Procedure for Hierarchical Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  176. Aaron J. Gruber, Peter Dayan, Boris S. Gutkin, Sara A. Solla
    Dopamine Modulation in a Basal Ganglio-cortical Network Implements Saliency-based Gating of Working Memory. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  177. Thomas L. Griffiths, Joshua B. Tenenbaum
    From Algorithmic to Subjective Randomness. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  178. Arnulf B. A. Graf, Felix A. Wichmann
    Insights from Machine Learning Applied to Human Visual Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  179. Thore Graepel, Ralf Herbrich, Andriy Kharechko, John Shawe-Taylor
    Semi-Definite Programming by Perceptron Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  180. Thore Graepel, Ralf Herbrich
    Invariant Pattern Recognition by Semi-Definite Programming Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  181. Mark Girolami, Ata Kabán
    Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  182. Claudio Gentile
    Fast Feature Selection from Microarray Expression Data via Multiplicative Large Margin Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  183. Artur S. d'Avila Garcez, Luís C. Lamb
    Reasoning about Time and Knowledge in Neural Symbolic Learning Systems. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  184. Kenji Fukumizu, Francis R. Bach, Michael I. Jordan
    Kernel Dimensionality Reduction for Supervised Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  185. Bernd Fischer, Volker Roth, Joachim M. Buhmann
    Clustering with the Connectivity Kernel. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  186. Amit Gruber, Yair Weiss
    Factorization with Uncertainty and Missing Data: Exploiting Temporal Coherence. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  187. Greg Hamerly, Charles Elkan
    Learning the k in k-means. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  188. Alexander T. Ihler, Erik B. Sudderth, William T. Freeman, Alan S. Willsky
    Efficient Multiscale Sampling from Products of Gaussian Mixtures. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  189. Nicholas P. Hughes, Lionel Tarassenko, Stephen J. Roberts
    Markov Models for Automated ECG Interval Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  190. David C. Hoyle, Magnus Rattray
    Limiting Form of the Sample Covariance Eigenspectrum in PCA and Kernel PCA. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  191. Geoffrey E. Hinton, Max Welling, Andriy Mnih
    Wormholes Improve Contrastive Divergence. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  192. Tom Heskes, Onno Zoeter, Wim Wiegerinck
    Approximate Expectation Maximization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  193. Natalia Hernandez-Gardiol, Leslie Pack Kaelbling
    Envelope-based Planning in Relational MDPs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  194. Matthias H. Hennig, Florentin Wörgötter
    Eye Micro-movements Improve Stimulus Detection Beyond the Nyquist Limit in the Peripheral Retina. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  195. Milos Hauskrecht, Branislav Kveton
    Linear Program Approximations for Factored Continuous-State Markov Decision Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  196. Kohei Hatano, Manfred K. Warmuth
    Boosting versus Covering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  197. Reid R. Harrison
    A Low-Power Analog VLSI Visual Collision Detector. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  198. Brian J. Fischer, Charles H. Anderson
    A Probabilistic Model of Auditory Space Representation in the Barn Owl. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
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