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Conferences in DBLP

Neural Information Processing Systems (NIPS) (nips)
2001 (conf/nips/2001)

  1. Aaron C. Courville, David S. Touretzky
    Modeling Temporal Structure in Classical Conditioning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:3-10 [Conf]
  2. Peter Dayan
    Motivated Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:11-18 [Conf]
  3. Shimon Edelman, Benjamin P. Hiles, Hwajin Yang, Nathan Intrator
    Probabilistic principles in unsupervised learning of visual structure: human data and a model. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:19-26 [Conf]
  4. David Jacobs, Bas Rokers, Archisman Rudra, Zili Liu
    Fragment Completion in Humans and Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:27-34 [Conf]
  5. Dan Klein, Christopher D. Manning
    Natural Language Grammar Induction Using a Constituent-Context Model. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:35-42 [Conf]
  6. Michael Kositsky, Andrew G. Barto
    The Emergence of Multiple Movement Units in the Presence of Noise and Feedback Delay. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:43-50 [Conf]
  7. Michael C. Mozer, Michael D. Colagrosso, David E. Huber
    A Rational Analysis of Cognitive Control in a Speeded Discrimination Task. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:51-57 [Conf]
  8. S. Narayanan, Daniel Jurafsky
    A Bayesian Model Predicts Human Parse Preference and Reading Times in Sentence Processing. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:59-65 [Conf]
  9. Michiro Negishi, Stephen Jose Hanson
    Grammar Transfer in a Second Order Recurrent Neural Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:67-73 [Conf]
  10. Randall C. O'Reilly, R. S. Busby
    Generalizable Relational Binding from Coarse-coded Distributed Representations. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:75-82 [Conf]
  11. Randall C. O'Reilly, R. Soto
    A Model of the Phonological Loop: Generalization and Binding. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:83-90 [Conf]
  12. Mark A. Paskin
    Grammatical Bigrams. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:91-97 [Conf]
  13. Bob Rehder
    Causal Categorization with Bayes Nets. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:99-105 [Conf]
  14. W. Ruml
    Constructing Distributed Representations Using Additive Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:107-114 [Conf]
  15. Jonathan L. Shapiro, J. Wearden
    Reinforcement Learning and Time Perception -- a Model of Animal Experiments. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:115-122 [Conf]
  16. Daniel Yarlett, Michael Ramscar
    A Quantitative Model of Counterfactual Reasoning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:123-130 [Conf]
  17. Giorgio A. Ascoli, Alexei V. Samsonovich
    Bayesian morphometry of hippocampal cells suggests same-cell somatodendritic repulsion. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:133-139 [Conf]
  18. A. d'Avella, M. C. Tresch
    Modularity in the motor system: decomposition of muscle patterns as combinations of time-varying synergies. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:141-148 [Conf]
  19. J. A. Beintema, A. V. van den Berg, M. Lappe
    Receptive field structure of flow detectors for heading perception. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:149-156 [Conf]
  20. Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller
    Classifying Single Trial EEG: Towards Brain Computer Interfacing. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:157-164 [Conf]
  21. Neil Burgess, Tom Hartley
    Orientational and Geometric Determinants of Place and Head-direction. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:165-172 [Conf]
  22. Gal Chechik, Amir Globerson, M. J. Anderson, E. D. Young, I. Nelken, Naftali Tishby
    Group Redundancy Measures Reveal Redundancy Reduction in the Auditory Pathway. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:173-180 [Conf]
  23. H. Colonius, A. Diederich
    A Maximum-Likelihood Approach to Modeling Multisensory Enhancement. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:181-187 [Conf]
  24. Peter Dayan, Angela J. Yu
    ACh, Uncertainty, and Cortical Inference. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:189-196 [Conf]
  25. O. Donchin, Reza Shadmehr
    Linking Motor Learning to Function Approximation: Learning in an Unlearnable Force Field. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:197-203 [Conf]
  26. Julian Eggert, Berthold Bäuml
    Exact differential equation population dynamics for integrate-and-fire neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:205-212 [Conf]
  27. Yun Gao, Michael J. Black, Elie Bienenstock, Shy Shoham, John P. Donoghue
    Probabilistic Inference of Hand Motion from Neural Activity in Motor Cortex. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:213-220 [Conf]
  28. Richard H. R. Hahnloser, Xiaohui Xie, H. Sebastian Seung
    A theory of neural integration in the head-direction system. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:221-228 [Conf]
  29. Ádám Kepecs, S. Raghavachari
    3 state neurons for contextual processing. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:229-236 [Conf]
  30. Peter E. Latham
    Associative memory in realistic neuronal networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:237-244 [Conf]
  31. N. Matsumoto, M. Okada
    Self-regulation Mechanism of Temporally Asymmetric Hebbian Plasticity. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:245-252 [Conf]
  32. Hiroyuki Nakahara, Shun-ichi Amari
    Information-Geometric Decomposition in Spike Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:253-260 [Conf]
  33. M. Rucci, A. Casile
    Eye movements and the maturation of cortical orientation selectivity. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:261-267 [Conf]
  34. Odelia Schwartz, E. J. Chichilnisky, Eero P. Simoncelli
    Characterizing Neural Gain Control using Spike-triggered Covariance. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:269-276 [Conf]
  35. Maoz Shamir, Haim Sompolinsky
    Correlation Codes in Neuronal Populations. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:277-284 [Conf]
  36. Jesper Tegnér, Ádám Kepecs
    Why Neuronal Dynamics Should Control Synaptic Learning Rules. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:285-292 [Conf]
  37. Thomas P. Trappenberg, Edmund T. Rolls, Simon M. Stringer
    Effective Size of Receptive Fields of Inferior Temporal Visual Cortex Neurons in Natural Scenes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:293-300 [Conf]
  38. Gregor Wenning, Klaus Obermayer
    Activity Driven Adaptive Stochastic Resonance. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:301-308 [Conf]
  39. B. D. Wright, Kamal Sen, William Bialek, A. J. Doupe
    Spike timing and the coding of naturalistic sounds in a central auditory area of songbirds. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:309-316 [Conf]
  40. Si Wu, Shun-ichi Amari
    Neural Implementation of Bayesian Inference in Population Codes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:317-323 [Conf]
  41. Xiaohui Xie, Martin A. Giese
    Generating velocity tuning by asymmetric recurrent connections. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:325-332 [Conf]
  42. Dimitris Achlioptas, Frank McSherry, Bernhard Schölkopf
    Sampling Techniques for Kernel Methods. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:335-342 [Conf]
  43. Shun-ichi Amari, Hyeyoung Park, Tomoko Ozeki
    Geometrical Singularities in the Neuromanifold of Multilayer Perceptrons. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:343-350 [Conf]
  44. Mikio L. Braun, Joachim M. Buhmann
    The Noisy Euclidean Traveling Salesman Problem and Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:351-358 [Conf]
  45. Nicolò Cesa-Bianchi, Alex Conconi, Claudio Gentile
    On the Generalization Ability of On-Line Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:359-366 [Conf]
  46. Nello Cristianini, John Shawe-Taylor, André Elisseeff, Jaz S. Kandola
    On Kernel-Target Alignment. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:367-373 [Conf]
  47. Sanjoy Dasgupta, Michael L. Littman, David A. McAllester
    PAC Generalization Bounds for Co-training. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:375-382 [Conf]
  48. Anita C. Faul, Michael E. Tipping
    Analysis of Sparse Bayesian Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:383-389 [Conf]
  49. Ralf Herbrich, Robert C. Williamson
    Algorithmic Luckiness. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:391-397 [Conf]
  50. M. Hutter
    Distribution of Mutual Information. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:399-406 [Conf]
  51. Shiro Ikeda, Toshiyuki Tanaka, Shun-ichi Amari
    Information Geometrical Framework for Analyzing Belief Propagation Decoder. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:407-414 [Conf]
  52. Hilbert J. Kappen, Wim Wiegerinck
    Novel iteration schemes for the Cluster Variation Method. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:415-422 [Conf]
  53. Roni Khardon, Dan Roth, Rocco A. Servedio
    Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:423-430 [Conf]
  54. Jon M. Kleinberg
    Small-World Phenomena and the Dynamics of Information. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:431-438 [Conf]
  55. Adam Kowalczyk, Alex J. Smola, Robert C. Williamson
    Kernel Machines and Boolean Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:439-446 [Conf]
  56. G. Lebanon, J. Lafferty
    Boosting and Maximum Likelihood for Exponential Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:447-454 [Conf]
  57. M. Leisink, B. Kappen
    Means, Correlations and Bounds. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:455-462 [Conf]
  58. Dörthe Malzahn, Manfred Opper
    A Variational Approach to Learning Curves. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:463-469 [Conf]
  59. Ilya Nemenman, F. Shafee, William Bialek
    Entropy and Inference, Revisited. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:471-478 [Conf]
  60. Manfred Opper, Robert Urbanczik
    Asymptotic Universality for Learning Curves of Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:479-486 [Conf]
  61. Gunnar Rätsch, Sebastian Mika, Manfred K. Warmuth
    On the Convergence of Leveraging. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:487-494 [Conf]
  62. Magnus Rattray, Gleb Basalyga
    Scaling Laws and Local Minima in Hebbian ICA. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:495-501 [Conf]
  63. M. Schmitt
    Computing Time Lower Bounds for Recurrent Sigmoidal Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:503-510 [Conf]
  64. John Shawe-Taylor, Nello Cristianini, Jaz S. Kandola
    On the Concentration of Spectral Properties. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:511-517 [Conf]
  65. Peter Sollich
    Gaussian Process Regression with Mismatched Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:519-526 [Conf]
  66. Toshiyuki Tanaka, Shiro Ikeda, Shun-ichi Amari
    Information-Geometrical Significance of Sparsity in Gallager Codes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:527-534 [Conf]
  67. K. Y. M. Wong, F. Li
    Fast Parameter Estimation Using Green's Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:535-542 [Conf]
  68. T. Zhang
    Generalization Performance of Some Learning Problems in Hilbert Functional Spaces. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:543-550 [Conf]
  69. Florence d'Alché-Buc, Yves Grandvalet, Christophe Ambroise
    Semi-supervised MarginBoost. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:553-560 [Conf]
  70. Christophe Andrieu, Nando de Freitas, Arnaud Doucet
    Rao-Blackwellised Particle Filtering via Data Augmentation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:561-567 [Conf]
  71. Francis R. Bach, Michael I. Jordan
    Thin Junction Trees. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:569-576 [Conf]
  72. Matthew J. Beal, Zoubin Ghahramani, Carl Edward Rasmussen
    The Infinite Hidden Markov Model. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:577-584 [Conf]
  73. Mikhail Belkin, Partha Niyogi
    Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:585-591 [Conf]
  74. J. Bi, K. P. Bennett
    Duality, Geometry, and Support Vector Regression. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:593-600 [Conf]
  75. David M. Blei, Andrew Y. Ng, Michael I. Jordan
    Latent Dirichlet Allocation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:601-608 [Conf]
  76. Olivier Chapelle, Bernhard Schölkopf
    Incorporating Invariances in Non-Linear Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:609-616 [Conf]
  77. Michael Collins, S. DasGupta, Robert E. Schapire
    A Generalization of Principal Components Analysis to the Exponential Family. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:617-624 [Conf]
  78. Michael Collins, Nigel Duffy
    Convolution Kernels for Natural Language. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:625-632 [Conf]
  79. Ronan Collobert, Samy Bengio, Yoshua Bengio
    A Parallel Mixture of SVMs for Very Large Scale Problems. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:633-640 [Conf]
  80. Koby Crammer, Yoram Singer
    Pranking with Ranking. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:641-647 [Conf]
  81. Nello Cristianini, John Shawe-Taylor, Jaz S. Kandola
    Spectral Kernel Methods for Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:649-655 [Conf]
  82. Lehel Csató, Manfred Opper, Ole Winther
    TAP Gibbs Free Energy, Belief Propagation and Sparsity. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:657-663 [Conf]
  83. Carlotta Domeniconi, Dimitrios Gunopulos
    Adaptive Nearest Neighbor Classification Using Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:665-672 [Conf]
  84. Pedro Domingos, Geoff Hulten
    Learning from Infinite Data in Finite Time. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:673-680 [Conf]
  85. André Elisseeff, Jason Weston
    A kernel method for multi-labelled classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:681-687 [Conf]
  86. Daniela Pucci de Farias, Benjamin Van Roy
    Approximate Dynamic Programming via Linear Programming. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:689-695 [Conf]
  87. Mário A. T. Figueiredo
    Adaptive Sparseness Using Jeffreys Prior. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:697-704 [Conf]
  88. Shai Fine, Katya Scheinberg
    Incremental Learning and Selective Sampling via Parametric Optimization Framework for SVM. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:705-711 [Conf]
  89. Dieter Fox
    KLD-Sampling: Adaptive Particle Filters. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:713-720 [Conf]
  90. Brendan J. Frey, Nebojsa Jojic
    Fast, Large-Scale Transformation-Invariant Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:721-727 [Conf]
  91. Brendan J. Frey, Anitha Kannan, Nebojsa Jojic
    Product Analysis: Learning to Model Observations as Products of Hidden Variables. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:729-735 [Conf]
  92. Brendan J. Frey, Ralf Koetter, Nemanja Petrovic
    Very loopy belief propagation for unwrapping phase images. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:737-743 [Conf]
  93. Polina Golland
    Discriminative Direction for Kernel Classifiers. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:745-752 [Conf]
  94. Patrick Haffner
    Escaping the Convex Hull with Extrapolated Vector Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:753-760 [Conf]
  95. Stefan Harmeling, Alexander Ziehe, Motoaki Kawanabe, Klaus-Robert Müller
    Kernel Feature Spaces and Nonlinear Blind Souce Separation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:761-768 [Conf]
  96. David Horn, Assaf Gottlieb
    The Method of Quantum Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:769-776 [Conf]
  97. Tommi Jaakkola, Hava T. Siegelmann
    Active Information Retrieval. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:777-784 [Conf]
  98. Jyrki Kivinen, Alex J. Smola, Robert C. Williamson
    Online Learning with Kernels. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:785-792 [Conf]
  99. Jens Kohlmorgen, Steven Lemm
    A Dynamic HMM for On-line Segmentation of Sequential Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:793-800 [Conf]
  100. Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib Bhattacharyya, Michael I. Jordan
    Minimax Probability Machine. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:801-807 [Conf]
  101. John Langford, Rich Caruana
    (Not) Bounding the True Error. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:809-816 [Conf]
  102. Michael L. Littman, Michael J. Kearns, Satinder P. Singh
    An Efficient, Exact Algorithm for Solving Tree-Structured Graphical Games. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:817-823 [Conf]
  103. Peter Meinicke, Helge Ritter
    Quantizing Density Estimators. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:825-832 [Conf]
  104. K. P. Murphy, Mark A. Paskin
    Linear-time inference in Hierarchical HMMs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:833-840 [Conf]
  105. Andrew Y. Ng, Michael I. Jordan
    On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:841-848 [Conf]
  106. Andrew Y. Ng, Michael I. Jordan, Yair Weiss
    On Spectral Clustering: Analysis and an algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:849-856 [Conf]
  107. Alberto Paccanaro, Geoffrey E. Hinton
    Learning Hierarchical Structures with Linear Relational Embedding. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:857-864 [Conf]
  108. Marcello Pelillo
    Matching Free Trees with Replicator Equations. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:865-872 [Conf]
  109. Anand Rangarajan, Alan L. Yuille
    MIME: Mutual Information Minimization and Entropy Maximization for Bayesian Belief Propagation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:873-880 [Conf]
  110. Carl Edward Rasmussen, Zoubin Ghahramani
    Infinite Mixtures of Gaussian Process Experts. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:881-888 [Conf]
  111. Sam T. Roweis, Lawrence K. Saul, Geoffrey E. Hinton
    Global Coordination of Local Linear Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:889-896 [Conf]
  112. Lawrence K. Saul, Daniel D. Lee
    Multiplicative Updates for Classification by Mixture Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:897-904 [Conf]
  113. Matthias Seeger
    Covariance Kernels from Bayesian Generative Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:905-912 [Conf]
  114. Eran Segal, Daphne Koller, Dirk Ormoneit
    Probabilistic Abstraction Hierarchies. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:913-920 [Conf]
  115. Hiroshi Shimodaira, K.-I. Noma, Mitsuru Nakai, Shigeki Sagayama
    Dynamic Time-Alignment Kernel in Support Vector Machine. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:921-928 [Conf]
  116. Noam Slonim, Nir Friedman, Naftali Tishby
    Agglomerative Multivariate Information Bottleneck. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:929-936 [Conf]
  117. Peter Sykacek, Stephen Roberts
    Bayesian time series classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:937-944 [Conf]
  118. Martin Szummer, Tommi Jaakkola
    Partially labeled classification with Markov random walks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:945-952 [Conf]
  119. Yee Whye Teh, Max Welling
    The Unified Propagation and Scaling Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:953-960 [Conf]
  120. Sebastian Thrun, John Langford, Vandi Verma
    Risk Sensitive Particle Filters. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:961-968 [Conf]
  121. Kari Torkkola
    Learning Discriminative Feature Transforms to Low Dimensions in Low Dimentions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:969-976 [Conf]
  122. Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller
    A New Discriminative Kernel From Probabilistic Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:977-984 [Conf]
  123. Pascal Vincent, Yoshua Bengio
    K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:985-992 [Conf]
  124. Roland Vollgraf, Klaus Obermayer
    Multi Dimensional ICA to Separate Correlated Sources. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:993-1000 [Conf]
  125. Martin J. Wainwright, Tommi Jaakkola, Alan S. Willsky
    Tree-based reparameterization for approximate inference on loopy graphs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1001-1008 [Conf]
  126. Heiko Wersing
    Learning Lateral Interactions for Feature Binding and Sensory Segmentation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1009-1016 [Conf]
  127. Christopher K. I. Williams, Felix V. Agakov, Stephen N. Felderhof
    Products of Gaussians. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1017-1024 [Conf]
  128. Ran El-Yaniv, Oren Souroujon
    Iterative Double Clustering for Unsupervised and Semi-Supervised Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1025-1032 [Conf]
  129. Alan L. Yuille, Anand Rangarajan
    The Concave-Convex Procedure (CCCP). [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1033-1040 [Conf]
  130. B. Zadrozny
    Reducing multiclass to binary by coupling probability estimates. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1041-1048 [Conf]
  131. Michael Zibulevsky, Pavel Kisilev, Yehoshua Y. Zeevi, Barak A. Pearlmutter
    Blind Source Separation via Multinode Sparse Representation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1049-1056 [Conf]
  132. Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon
    Spectral Relaxation for K-means Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1057-1064 [Conf]
  133. T. Zhang
    A General Greedy Approximation Algorithm with Applications. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1065-1072 [Conf]
  134. Qi Zhang, Sally A. Goldman
    EM-DD: An Improved Multiple-Instance Learning Technique. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1073-1080 [Conf]
  135. Ji Zhu, Trevor Hastie
    Kernel Logistic Regression and the Import Vector Machine. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1081-1088 [Conf]
  136. A. Bofill, A. F. Murray, D. P. Thompson
    Citcuits for VLSI Implementation of Temporally Asymmetric Hebbian Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1091-1098 [Conf]
  137. Roman Genov, Gert Cauwenberghs
    Stochastic Mixed-Signal VLSI Architecture for High-Dimensional Kernel Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1099-1105 [Conf]
  138. Shih-Chii Liu, Jörg Kramer, Giacomo Indiveri, Tobi Delbrück, Rodney J. Douglas
    Orientation-Selective aVLSI Spiking Neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1107-1114 [Conf]
  139. Takashi Morie, Tomohiro Matsuura, Makoto Nagata, Atsushi Iwata
    An Efficient Clustering Algorithm Using Stochastic Association Model and Its Implementation Using Nanostructures. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1115-1122 [Conf]
  140. Aaron P. Shon, David Hsu, Chris Diorio
    Learning Spike-Based Correlations and Conditional Probabilities in Silicon. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1123-1130 [Conf]
  141. Toshihiko Yamasaki, Tadashi Shibata
    Analog Soft-Pattern-Matching Classifier using Floating-Gate MOS Technology. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1131-1138 [Conf]
  142. Jeff Bilmes, Gang Ji, Marina Meila
    Intransitive Likelihood-Ratio Classifiers. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1141-1148 [Conf]
  143. Andrew D. Brown, Geoffrey E. Hinton
    Relative Density Nets: A New Way to Combine Backpropagation with HMM's. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1149-1156 [Conf]
  144. W. M. Campbell
    A Sequence Kernel and its Application to Speaker Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1157-1163 [Conf]
  145. Brendan J. Frey, Trausti T. Kristjansson, Li Deng, Alex Acero
    ALGONQUIN - Learning Dynamic Noise Models From Noisy Speech for Robust Speech Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1165-1171 [Conf]
  146. John Hershey, Michael Casey
    Audio-Visual Sound Separation Via Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1173-1180 [Conf]
  147. Frank C. Meinecke, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller
    Estimating the Reliability of ICA Projections. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1181-1188 [Conf]
  148. S. Parveen, P. Green
    Speech Recognition with Missing Data using Recurrent Neural Nets. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1189-1195 [Conf]
  149. N. Smith, M. Gales
    Speech Recognition using SVMs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1197-1204 [Conf]
  150. K. Yao, S. Nakamura
    Sequential Noise Compensation by Sequential Monte Carlo Method. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1205-1212 [Conf]
  151. Stuart N. Wrigley, Guy J. Brown
    A Neural Oscillator Model of Auditory Selective Attention. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1213-1220 [Conf]
  152. B. T. Backus
    Perceptual Metamers in Stereoscopic Vision. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1223-1230 [Conf]
  153. James M. Coughlan, Alan L. Yuille
    The g Factor: Relating Distributions on Features to Distributions on Images. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1231-1238 [Conf]
  154. Bernd Heisele, Thomas Serre, Massimiliano Pontil, Thomas Vetter, Tomaso Poggio
    Categorization by Learning and Combining Object Parts. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1239-1245 [Conf]
  155. Laurent Itti, Jochen Braun, Christof Koch
    Modeling the Modulatory Effect of Attention on Human Spatial Vision. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1247-1254 [Conf]
  156. Marzia Polito, Pietro Perona
    Grouping and dimensionality reduction by locally linear embedding. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1255-1262 [Conf]
  157. Rómer Rosales, Stan Sclaroff
    Learning Body Pose via Specialized Maps. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1263-1270 [Conf]
  158. Silvio P. Sabatini, Fabio Solari, G. Andreani, C. Bartolozzi, Giacomo M. Bisio
    A Hierarchical Model of Complex Cells in Visual Cortex for the Binocular Perception of Motion-in-Depth. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1271-1278 [Conf]
  159. Javid Sadr, Sayan Mukherjee, K. Thoresz, Pawan Sinha
    The Fidelity of Local Ordinal Encoding. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1279-1286 [Conf]
  160. Yang Song, Luis Goncalves, Pietro Perona
    Unsupervised Learning of Human Motion Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1287-1294 [Conf]
  161. Chris Stauffer, Erik G. Miller, Kinh Tieu
    Transform-invariant Image Decomposition with Similarity Templates. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1295-1302 [Conf]
  162. Antonio B. Torralba
    Contextual Modulation of Target Saliency. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1303-1310 [Conf]
  163. Paul A. Viola, Michael J. Jones
    Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1311-1318 [Conf]
  164. Lance R. Williams, John W. Zweck
    A Rotation and Translation Invariant Discrete Saliency Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1319-1326 [Conf]
  165. Stella X. Yu, Jianbo Shi
    Grouping with Bias. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1327-1334 [Conf]
  166. Timothy X. Brown
    Switch Packet Arbitration via Queue-Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1337-1344 [Conf]
  167. Igor V. Cadez, Paul S. Bradley
    Model Based Population Tracking and Automatic Detection of Distribution Changes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1345-1352 [Conf]
  168. Igor V. Cadez, Padhraic Smyth
    Bayesian Predictive Profiles With Applications to Retail Transaction Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1353-1360 [Conf]
  169. Ali Taylan Cemgil, Bert Kappen
    Tempo tracking and rhythm quantization by sequential Monte Carlo. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1361-1368 [Conf]
  170. Nicolas Chapados, Yoshua Bengio, Pascal Vincent, Joumana Ghosn, Charles Dugas, Ichiro Takeuchi, Linyan Meng
    Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1369-1376 [Conf]
  171. Judy A. Franklin
    Improvisation and Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1377-1384 [Conf]
  172. Thomas L. Griffiths, Joshua B. Tenenbaum
    Using Vocabulary Knowledge in Bayesian Multinomial Estimation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1385-1392 [Conf]
  173. Charles Lee Isbell Jr., Christian R. Shelton, Michael J. Kearns, Satinder P. Singh, Peter Stone
    Cobot: A Social Reinforcement Learning Agent. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1393-1400 [Conf]
  174. Neil D. Lawrence, Antony I. T. Rowstron, Christopher M. Bishop, M. J. Taylor
    Optimising Synchronisation Times for Mobile Devices. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1401-1408 [Conf]
  175. Michael C. Mozer, Robert H. Dodier, Michael D. Colagrosso, Cesar Guerra-Salcedo, Richard H. Wolniewicz
    Prodding the ROC Curve: Constrained Optimization of Classifier Performance. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1409-1415 [Conf]
  176. Jörg Ontrup, Helge Ritter
    Hyperbolic Self-Organizing Maps for Semantic Navigation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1417-1424 [Conf]
  177. John C. Platt, Christopher J. C. Burges, S. Swenson, C. Weare, A. Zheng
    Learning a Gaussian Process Prior for Automatically Generating Music Playlists. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1425-1432 [Conf]
  178. Christopher Raphael
    A Bayesian Network for Real-Time Musical Accompaniment. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1433-1439 [Conf]
  179. Matt Richardson, Pedro Domingos
    The Intelligent surfer: Probabilistic Combination of Link and Content Information in PageRank. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1441-1448 [Conf]
  180. Manfred K. Warmuth, Gunnar Rätsch, Michael Mathieson, Jun Liao, Christian Lemmen
    Active Learning in the Drug Discovery Process. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1449-1456 [Conf]
  181. Ming-Hour Yang
    Face Recognition Using Kernel Methods. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1457-1464 [Conf]
  182. Hans-Georg Zimmermann, Ralph Neuneier, Ralph Grothmann
    Active Portfolio-Management based on Error Correction Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1465-1472 [Conf]
  183. Bram Bakker
    Reinforcement Learning with Long Short-Term Memory. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1475-1482 [Conf]
  184. Yu-Han Chang, Leslie Pack Kaelbling
    Playing is believing: The role of beliefs in multi-agent learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1483-1490 [Conf]
  185. Thomas G. Dietterich, Xin Wang
    Batch Value Function Approximation via Support Vectors. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1491-1498 [Conf]
  186. Eyal Even-Dar, Yishay Mansour
    Convergence of Optimistic and Incremental Q-Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1499-1506 [Conf]
  187. Evan Greensmith, Peter L. Bartlett, Jonathan Baxter
    Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1507-1514 [Conf]
  188. Gregory Z. Grudic, Lyle H. Ungar
    Rates of Convergence of Performance Gradient Estimates Using Function Approximation and Bias in Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1515-1522 [Conf]
  189. Carlos Guestrin, Daphne Koller, Ronald Parr
    Multiagent Planning with Factored MDPs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1523-1530 [Conf]
  190. Sham Kakade
    A Natural Policy Gradient. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1531-1538 [Conf]
  191. Sven Koenig, Maxim Likhachev
    Incremental A*. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1539-1546 [Conf]
  192. Michail G. Lagoudakis, Ronald Parr
    Model-Free Least-Squares Policy Iteration. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1547-1554 [Conf]
  193. Michael L. Littman, Richard S. Sutton, Satinder P. Singh
    Predictive Representations of State. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1555-1561 [Conf]
  194. Shie Mannor, Nahum Shimkin
    The Steering Approach for Multi-Criteria Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1563-1570 [Conf]
  195. Rémi Munos
    Efficient Resources Allocation for Markov Decision Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1571-1578 [Conf]
  196. Dale Schuurmans, Relu Patrascu
    Direct value-approximation for factored MDPs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1579-1586 [Conf]
  197. Xin Wang, Thomas G. Dietterich
    Stabilizing Value Function Approximation with the BFBP Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1587-1594 [Conf]
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NOTICE2
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