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Conferences in DBLP

Neural Information Processing Systems (NIPS) (nips)
2006 (conf/nips/2006)

  1. Pieter Abbeel, Adam Coates, Morgan Quigley, Andrew Y. Ng
    An Application of Reinforcement Learning to Aerobatic Helicopter Flight. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1-8 [Conf]
  2. Amiran Ambroladze, Emilio Parrado-Hernández, John Shawe-Taylor
    Tighter PAC-Bayes Bounds. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:9-16 [Conf]
  3. Yonatan Amit, Shai Shalev-Shwartz, Yoram Singer
    Online Classification for Complex Problems Using Simultaneous Projections. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:17-24 [Conf]
  4. Rie Kubota Ando, Tong Zhang
    Learning on Graph with Laplacian Regularization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:25-32 [Conf]
  5. Jerónimo Arenas-García, Kaare Brandt Petersen, Lars Kai Hansen
    Sparse Kernel Orthonormalized PLS for feature extraction in large data sets. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:33-40 [Conf]
  6. Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil
    Multi-Task Feature Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:41-48 [Conf]
  7. Peter Auer, Ronald Ortner
    Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:49-56 [Conf]
  8. Shai Avidan, Moshe Butman
    Efficient Methods for Privacy Preserving Face Detection. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:57-64 [Conf]
  9. Francis R. Bach
    Active learning for misspecified generalized linear models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:65-72 [Conf]
  10. Aharon Bar-Hillel, Daphna Weinshall
    Subordinate class recognition using relational object models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:73-80 [Conf]
  11. David Barber, Silvia Chiappa
    Unified Inference for Variational Bayesian Linear Gaussian State-Space Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:81-88 [Conf]
  12. David Barber, Bertrand Mesot
    A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:89-96 [Conf]
  13. Peter L. Bartlett, Ambuj Tewari
    Sample Complexity of Policy Search with Known Dynamics. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:97-104 [Conf]
  14. Peter L. Bartlett, Mikhail Traskin
    AdaBoost is Consistent. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:105-112 [Conf]
  15. Chiara Bartolozzi, Giacomo Indiveri
    A selective attention multi--chip system with dynamic synapses and spiking neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:113-120 [Conf]
  16. Alexis Battle, Gal Chechik, Daphne Koller
    Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:121-128 [Conf]
  17. Mikhail Belkin, Partha Niyogi
    Convergence of Laplacian Eigenmaps. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:129-136 [Conf]
  18. Shai Ben-David, John Blitzer, Koby Crammer, Fernando Pereira
    Analysis of Representations for Domain Adaptation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:137-144 [Conf]
  19. Eli Ben-Sasson, Adam Tauman Kalai, Ehud Kalai
    An Approach to Bounded Rationality. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:145-152 [Conf]
  20. Yoshua Bengio, Pascal Lamblin, Dan Popovici, Hugo Larochelle
    Greedy Layer-Wise Training of Deep Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:153-160 [Conf]
  21. Steffen Bickel, Tobias Scheffer
    Dirichlet-Enhanced Spam Filtering based on Biased Samples. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:161-168 [Conf]
  22. Alessandro Bissacco, Ming-Hsuan Yang, Stefano Soatto
    Detecting Humans via Their Pose. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:169-176 [Conf]
  23. Oren Boiman, Michal Irani
    Similarity by Composition. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:177-184 [Conf]
  24. Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert Müller
    Denoising and Dimension Reduction in Feature Space. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:185-192 [Conf]
  25. Christopher J. C. Burges, Robert Ragno, Quoc Viet Le
    Learning to Rank with Nonsmooth Cost Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:193-200 [Conf]
  26. Peter Carbonetto, Nando de Freitas
    Conditional mean field. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:201-208 [Conf]
  27. Gavin C. Cawley, Nicola L. C. Talbot, Mark Girolami
    Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:209-216 [Conf]
  28. Olivier Chapelle, Vikas Sindhwani, S. Sathiya Keerthi
    Branch and Bound for Semi-Supervised Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:217-224 [Conf]
  29. Laurent Charlin, Pascal Poupart, Romy Shioda
    Automated Hierarchy Discovery for Planning in Partially Observable Environments. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:225-232 [Conf]
  30. Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller
    Max-margin classification of incomplete data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:233-240 [Conf]
  31. Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyvers
    Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:241-248 [Conf]
  32. Li Cheng, S. V. N. Vishwanathan, Dale Schuurmans, Shaojun Wang, Terry Caelli
    implicit Online Learning with Kernels. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:249-256 [Conf]
  33. Elisabetta Chicca, Giacomo Indiveri, Rodney J. Douglas
    Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:257-264 [Conf]
  34. Hugh A. Chipman, Edward I. George, Robert E. McCulloch
    Bayesian Ensemble Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:265-272 [Conf]
  35. Christian Walder, Bernhard Schölkopf, Olivier Chapelle
    Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:273-280 [Conf]
  36. Cheng-Tao Chu, Sang Kyun Kim, Yi-An Lin, YuanYuan Yu, Gary R. Bradski, Andrew Y. Ng, Kunle Olukotun
    Map-Reduce for Machine Learning on Multicore. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:281-288 [Conf]
  37. Wei Chu, Vikas Sindhwani, Zoubin Ghahramani, S. Sathiya Keerthi
    Relational Learning with Gaussian Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:289-296 [Conf]
  38. David Cohn, Deepak Verma, Karl Pfleger
    Recursive Attribute Factoring. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:297-304 [Conf]
  39. Corinna Cortes, Mehryar Mohri
    On Transductive Regression. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:305-312 [Conf]
  40. Timothée Cour, Praveen Srinivasan, Jianbo Shi
    Balanced Graph Matching. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:313-320 [Conf]
  41. Koby Crammer, Michael Kearns, Jennifer Wortman
    Learning from Multiple Sources. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:321-328 [Conf]
  42. Marco Cuturi, Kenji Fukumizu
    Kernels on Structured Objects Through Nested Histograms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:329-336 [Conf]
  43. Jason V. Davis, Inderjit S. Dhillon
    Differential Entropic Clustering of Multivariate Gaussians. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:337-344 [Conf]
  44. Ofer Dekel, Yoram Singer
    Support Vector Machines on a Budget. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:345-352 [Conf]
  45. Eizaburo Doi, Michael S. Lewicki
    A Theory of Retinal Population Coding. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:353-360 [Conf]
  46. Piotr Dollar, Serge Belongie, Vincent Rabaud
    Learning to Traverse Image Manifolds. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:361-368 [Conf]
  47. John Duchi, Daniel Tarlow, Gal Elidan, Daphne Koller
    Using Combinatorial Optimization within Max-Product Belief Propagation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:369-376 [Conf]
  48. Ran El-Yaniv, Mordechai Nisenson
    Optimal Single-Class Classification Strategies. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:377-384 [Conf]
  49. Eyal Even-Dar, Michael Kearns
    A Small World Threshold for Economic Network Formation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:385-392 [Conf]
  50. Yu Feng, Greg Hamerly
    PG-means: learning the number of clusters in data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:393-400 [Conf]
  51. Mário A. T. Figueiredo, Dong Seon Cheng, Vittorio Murino
    Clustering Under Prior Knowledge with Application to Image Segmentation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:401-408 [Conf]
  52. Karim Filali, Jeff A. Bilmes
    Multi-dynamic Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:409-416 [Conf]
  53. Andrea Frome, Yoram Singer, Jitendra Malik
    Image Retrieval and Classification Using Local Distance Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:417-424 [Conf]
  54. Glenn Fung, Murat Dundar, Balaji Krishnapuram, R. Bharat Rao
    Multiple Instance Learning for Computer Aided Diagnosis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:425-432 [Conf]
  55. Stanislav Funiak, Carlos Guestrin, Mark Paskin, Rahul Sukthankar
    Distributed Inference in Dynamical Systems. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:433-440 [Conf]
  56. Alborz Geramifard, Michael Bowling, Martin Zinkevich, Richard S. Sutton
    iLSTD: Eligibility Traces and Convergence Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:441-448 [Conf]
  57. Pascal Germain, Alexandre Lacasse, François Laviolette, Mario Marchand
    A PAC-Bayes Risk Bound for General Loss Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:449-456 [Conf]
  58. Mohammad Ghavamzadeh, Yaakov Engel
    Bayesian Policy Gradient Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:457-464 [Conf]
  59. Mark Girolami, Mingjun Zhong
    Data Integration for Classification Problems Employing Gaussian Process Priors. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:465-472 [Conf]
  60. Amir Globerson, Tommi Jaakkola
    Approximate inference using planar graph decomposition. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:473-480 [Conf]
  61. Carla P. Gomes, Ashish Sabharwal, Bart Selman
    Near-Uniform Sampling of Combinatorial Spaces Using XOR Constraints. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:481-488 [Conf]
  62. Geoffrey J. Gordon
    No-regret Algorithms for Online Convex Programs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:489-496 [Conf]
  63. Amit Gore, Shantanu Chakrabartty
    Large Margin Multi-channel Analog-to-Digital Conversion with Applications to Neural Prosthesis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:497-504 [Conf]
  64. Kristen Grauman, Trevor Darrell
    Approximate Correspondences in High Dimensions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:505-512 [Conf]
  65. Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola
    A Kernel Method for the Two-Sample-Problem. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:513-520 [Conf]
  66. David B. Grimes, Daniel R. Rashid, Rajesh P. N. Rao
    Learning Nonparametric Models for Probabilistic Imitation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:521-528 [Conf]
  67. Samuel S. Gross, Olga Russakovsky, Chuong B. Do, Serafim Batzoglou
    Training Conditional Random Fields for Maximum Labelwise Accuracy. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:529-536 [Conf]
  68. Moritz Grosse-Wentrup, Klaus Gramann, Martin Buss
    Adaptive Spatial Filters with predefined Region of Interest for EEG based Brain-Computer-Interfaces. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:537-544 [Conf]
  69. Jonathan Harel, Christof Koch, Pietro Perona
    Graph-Based Visual Saliency. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:545-552 [Conf]
  70. Gloria Haro, Gregory Randall, Guillermo Sapiro
    Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:553-560 [Conf]
  71. Matthias Hein, Markus Maier
    Manifold Denoising. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:561-568 [Conf]
  72. Ralf Herbrich, Tom Minka, Thore Graepel
    TrueSkillTM: A Bayesian Skill Rating System. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:569-576 [Conf]
  73. Mark Herbster, Massimiliano Pontil
    Prediction on a Graph with a Perceptron. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:577-584 [Conf]
  74. Alfred O. Hero III
    Geometric entropy minimization (GEM) for anomaly detection and localization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:585-592 [Conf]
  75. John R. Hershey, Trausti T. Kristjansson, Steven Rennie, Peder A. Olsen
    Single Channel Speech Separation Using Factorial Dynamics. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:593-600 [Conf]
  76. Jiayuan Huang, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Bernhard Schölkopf
    Correcting Sample Selection Bias by Unlabeled Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:601-608 [Conf]
  77. Ke Huang, Selin Aviyente
    Sparse Representation for Signal Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:609-616 [Conf]
  78. Ling Huang, XuanLong Nguyen, Minos N. Garofalakis, Michael I. Jordan, Anthony Joseph, Nina Taft
    In-Network PCA and Anomaly Detection. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:617-624 [Conf]
  79. Alexander T. Ihler, Padhraic Smyth
    Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:625-632 [Conf]
  80. Robert Jenssen, Torbjørn Eltoft, Mark Girolami, Deniz Erdogmus
    Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:633-640 [Conf]
  81. Mark Johnson, Thomas L. Griffiths, Sharon Goldwater
    Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:641-648 [Conf]
  82. Amit Kagian, Gideon Dror, Tommer Leyvand, Daniel Cohen-Or, Eytan Ruppin
    A Humanlike Predictor of Facial Attractiveness. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:649-656 [Conf]
  83. Anitha Kannan, John M. Winn, Carsten Rother
    Clustering appearance and shape by learning jigsaws. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:657-664 [Conf]
  84. Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida
    A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:665-672 [Conf]
  85. S. Sathiya Keerthi, Vikas Sindhwani, Olivier Chapelle
    An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:673-680 [Conf]
  86. Charles Kemp, Patrick Shafto, Allison Berke, Joshua B. Tenenbaum
    Combining causal and similarity-based reasoning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:681-688 [Conf]
  87. Wolf Kienzle, Felix A. Wichmann, Bernhard Schölkopf, Matthias O. Franz
    A Nonparametric Approach to Bottom-Up Visual Saliency. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:689-696 [Conf]
  88. Seyoung Kim, Padhraic Smyth
    Hierarchical Dirichlet Processes with Random Effects. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:697-704 [Conf]
  89. Joseph M. Kimmel, Richard M. Salter, Peter J. Thomas
    An Information Theoretic Framework for Eukaryotic Gradient Sensing. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:705-712 [Conf]
  90. Stefan Klampfl, Robert A. Legenstein, Wolfgang Maass
    Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:713-720 [Conf]
  91. Ryota Kobayashi, Shigeru Shinomoto
    Predicting spike times from subthreshold dynamics of a neuron. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:721-728 [Conf]
  92. Risi Imre Kondor, Tony Jebara
    Gaussian and Wishart Hyperkernels. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:729-736 [Conf]
  93. Konrad P. Körding, Joshua B. Tenenbaum
    Causal inference in sensorimotor integration. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:737-744 [Conf]
  94. Konrad P. Körding, Joshua B. Tenenbaum, Reza Shadmehr
    Multiple timescales and uncertainty in motor adaptation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:745-752 [Conf]
  95. Matthias Krauledat, Michael Schröder, Benjamin Blankertz, Klaus-Robert Müller
    Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:753-760 [Conf]
  96. Kenichi Kurihara, Max Welling, Nikos A. Vlassis
    Accelerated Variational Dirichlet Process Mixtures. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:761-768 [Conf]
  97. Alexandre Lacasse, François Laviolette, Mario Marchand, Pascal Germain, Nicolas Usunier
    PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:769-776 [Conf]
  98. Julian Laub, Jakob Macke, Klaus-Robert Müller, Felix A. Wichmann
    Inducing Metric Violations in Human Similarity Judgements. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:777-784 [Conf]
  99. Neil D. Lawrence, Guido Sanguinetti, Magnus Rattray
    Modelling transcriptional regulation using Gaussian Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:785-792 [Conf]
  100. Chi-Hoon Lee, Shaojun Wang, Feng Jiao, Dale Schuurmans, Russell Greiner
    Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:793-800 [Conf]
  101. Honglak Lee, Alexis Battle, Rajat Raina, Andrew Y. Ng
    Efficient sparse coding algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:801-808 [Conf]
  102. Michael D. Lee, Ian G. Fuss, Daniel J. Navarro
    A Bayesian Approach to Diffusion Models of Decision-Making and Response Time. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:809-816 [Conf]
  103. Su-In Lee, Varun Ganapathi, Daphne Koller
    Efficient Structure Learning of Markov Networks using $L_1$-Regularization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:817-824 [Conf]
  104. Steven Lemm, Christin Schäfer, Gabriel Curio
    Aggregating Classification Accuracy across Time: Application to Single Trial EEG. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:825-832 [Conf]
  105. Máté Lengyel, Peter Dayan
    Uncertainty, phase and oscillatory hippocampal recall. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:833-840 [Conf]
  106. Anat Levin
    Blind Motion Deblurring Using Image Statistics. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:841-848 [Conf]
  107. Roger Levy, T. Florian Jaeger
    Speakers optimize information density through syntactic reduction. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:849-856 [Conf]
  108. Jeremy Lewi, Robert J. Butera, Liam Paninski
    Real-time adaptive information-theoretic optimization of neurophysiology experiments. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:857-864 [Conf]
  109. Ling Li, Hsuan-Tien Lin
    Ordinal Regression by Extended Binary Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:865-872 [Conf]
  110. Ping Li, Kenneth Ward Church, Trevor Hastie
    Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:873-880 [Conf]
  111. Wenye Li, Kin-Hong Lee, Kwong-Sak Leung
    Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:881-888 [Conf]
  112. Yi Li, Philip M. Long
    Learnability and the doubling dimension. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:889-896 [Conf]
  113. Jussi T. Lindgren, Aapo Hyvärinen
    Emergence of conjunctive visual features by quadratic independent component analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:897-904 [Conf]
  114. Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Rachel Puckrin, Sean Cutler
    Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:905-912 [Conf]
  115. Ce Liu, William T. Freeman, Edward H. Adelson
    Analysis of Contour Motions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:913-920 [Conf]
  116. Philip M. Long, Rocco A. Servedio
    Attribute-efficient learning of decision lists and linear threshold functions under unconcentrated distributions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:921-928 [Conf]
  117. Le Lu, Gregory D. Hager
    Dynamic Foreground/Background Extraction from Images and Videos using Random Patches. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:929-936 [Conf]
  118. Gediminas Luksys, Jérémie Knüsel, Denis Sheynikhovich, Carmen Sandi, Wulfram Gerstner
    Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:937-944 [Conf]
  119. Siwei Lyu, Eero P. Simoncelli
    Statistical Modeling of Images with Fields of Gaussian Scale Mixtures. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:945-952 [Conf]
  120. Michael I. Mandel, Daniel P. W. Ellis, Tony Jebara
    An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:953-960 [Conf]
  121. Yi Mao, Guy Lebanon
    Isotonic Conditional Random Fields and Local Sentiment Flow. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:961-968 [Conf]
  122. Graham McNeill, Sethu Vijayakumar
    Part-based Probabilistic Point Matching using Equivalence Constraints. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:969-976 [Conf]
  123. Edward Meeds, Zoubin Ghahramani, Radford M. Neal, Sam T. Roweis
    Modeling Dyadic Data with Binary Latent Factors. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:977-984 [Conf]
  124. Frank Moosmann, Bill Triggs, Frédéric Jurie
    Fast Discriminative Visual Codebooks using Randomized Clustering Forests. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:985-992 [Conf]
  125. Michael C. Mozer, Michael Jones, Michael Shettel
    Context Effects in Category Learning: An Investigation of Four Probabilistic Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:993-1000 [Conf]
  126. Chris Murray, Geoffrey J. Gordon
    Multi-Robot Negotiation: Approximating the Set of Subgame Perfect Equilibria in General-Sum Stochastic Games. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1001-1008 [Conf]
  127. Andriy Myronenko, Xubo B. Song, Miguel Á. Carreira-Perpiñán
    Non-rigid point set registration: Coherent Point Drift. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1009-1016 [Conf]
  128. Boaz Nadler, Meirav Galun
    Fundamental Limitations of Spectral Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1017-1024 [Conf]
  129. Hariharan Narayanan, Mikhail Belkin, Partha Niyogi
    On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1025-1032 [Conf]
  130. Daniel J. Navarro, Thomas L. Griffiths
    A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1033-1040 [Conf]
  131. Danko Nikolic, Stefan Haeusler, Wolf Singer, Wolfgang Maass
    Temporal dynamics of information content carried by neurons in the primary visual cortex. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1041-1048 [Conf]
  132. Lars Omlor, Martin Giese
    Blind source separation for over-determined delayed mixtures. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1049-1056 [Conf]
  133. Thomas Ott, Ruedi Stoop
    The Neurodynamics of Belief Propagation on Binary Markov Random Fields. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1057-1064 [Conf]
  134. Sandeep Pandey, Christopher Olston
    Handling Advertisements of Unknown Quality in Search Advertising. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1065-1072 [Conf]
  135. Sridevi Parise, Max Welling
    Bayesian Model Scoring in Markov Random Fields. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1073-1080 [Conf]
  136. Luis Pérez-Breva, Luis E. Ortiz, Chen-Hsiang Yeang, Tommi Jaakkola
    Game Theoretic Algorithms for Protein-DNA binding. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1081-1088 [Conf]
  137. Lyndsey C. Pickup, David P. Capel, Stephen J. Roberts, Andrew Zisserman
    Bayesian Image Super-resolution, Continued. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1089-1096 [Conf]
  138. Yuan (Alan) Qi, Tommi Jaakkola
    Parameter Expanded Variational Bayesian Methods. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1097-1104 [Conf]
  139. Michael Rabbat, Mário A. T. Figueiredo, Robert D. Nowak
    Inferring Network Structure from Co-Occurrences. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1105-1112 [Conf]
  140. Ali Rahimi, Ben Recht
    Unsupervised Regression with Applications to Nonlinear System Identification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1113-1120 [Conf]
  141. Alexander Rakhlin, Andrea Caponnetto
    Stability of $K$-Means Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1121-1128 [Conf]
  142. Deva Ramanan
    Learning to parse images of articulated bodies. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1129-1136 [Conf]
  143. Marc'Aurelio Ranzato, Christopher S. Poultney, Sumit Chopra, Yann LeCun
    Efficient Learning of Sparse Representations with an Energy-Based Model. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1137-1144 [Conf]
  144. Martin Raphan, Eero P. Simoncelli
    Learning to be Bayesian without Supervision. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1145-1152 [Conf]
  145. Nathan D. Ratliff, David Bradley, J. Andrew Bagnell, Joel Chestnutt
    Boosting Structured Prediction for Imitation Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1153-1160 [Conf]
  146. Gunnar Rätsch, Sören Sonnenburg
    Large Scale Hidden Semi-Markov SVMs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1161-1168 [Conf]
  147. Silvia Richter, Douglas Aberdeen, Jin Yu
    Natural Actor-Critic for Road Traffic Optimisation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1169-1176 [Conf]
  148. Konrad Rieck, Pavel Laskov, Sören Sonnenburg
    Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1177-1184 [Conf]
  149. Daniel M. Roy, Charles Kemp, Vikash K. Mansinghka, Joshua B. Tenenbaum
    Learning annotated hierarchies from relational data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1185-1192 [Conf]
  150. Benjamin I. P. Rubinstein, Peter L. Bartlett, J. Hyam Rubinstein
    Shifting, One-Inclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1193-1200 [Conf]
  151. Jason M. Samonds, Brian Potetz, Tai Sing Lee
    Neurophysiological Evidence of Cooperative Mechanisms for Stereo Computation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1201-1208 [Conf]
  152. Ashutosh Saxena, Justin Driemeyer, Justin Kearns, Andrew Y. Ng
    Robotic Grasping of Novel Objects. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1209-1216 [Conf]
  153. Paul R. Schrater, Rashmi Sundareswara
    Theory and Dynamics of Perceptual Bistability. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1217-1224 [Conf]
  154. Nicol N. Schraudolph, Simon Günter, S. V. N. Vishwanathan
    Fast Iterative Kernel PCA. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1225-1232 [Conf]
  155. Matthias Seeger
    Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1233-1240 [Conf]
  156. Yevgeny Seldin, Noam Slonim, Naftali Tishby
    Information Bottleneck for Non Co-Occurrence Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1241-1248 [Conf]
  157. Fei Sha, Lawrence K. Saul
    Large Margin Hidden Markov Models for Automatic Speech Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1249-1256 [Conf]
  158. Gregory Shakhnarovich, Sung-Phil Kim, Michael J. Black
    Nonlinear physically-based models for decoding motor-cortical population activity. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1257-1264 [Conf]
  159. Shai Shalev-Shwartz, Yoram Singer
    Convex Repeated Games and Fenchel Duality. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1265-1272 [Conf]
  160. Honghao Shan, Lingyun Zhang, Garrison W. Cottrell
    Recursive ICA. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1273-1280 [Conf]
  161. Christian R. Shelton, Wesley Huie, Kin Fai Kan
    Chained Boosting. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1281-1288 [Conf]
  162. Hideaki Shimazaki, Shigeru Shinomoto
    A recipe for optimizing a time-histogram. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1289-1296 [Conf]
  163. Tobias Sing, Niko Beerenwinkel
    Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1297-1304 [Conf]
  164. Kyung-Ah Sohn, Eric P. Xing
    Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1305-1312 [Conf]
  165. Florian Steinke, Bernhard Schölkopf, Volker Blanz
    Learning Dense 3D Correspondence. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1313-1320 [Conf]
  166. Ingo Steinwart, Don R. Hush, Clint Scovel
    An Oracle Inequality for Clipped Regularized Risk Minimizers. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1321-1328 [Conf]
  167. Amos J. Storkey, Enrico Simonotto, Heather Whalley, Stephen Lawrie, Lawrence Murray, David McGonigle
    Learning Structural Equation Models for fMRI. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1329-1336 [Conf]
  168. Amos J. Storkey, Masashi Sugiyama
    Mixture Regression for Covariate Shift. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1337-1344 [Conf]
  169. Graham W. Taylor, Geoffrey E. Hinton, Sam T. Roweis
    Modeling Human Motion Using Binary Latent Variables. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1345-1352 [Conf]
  170. Yee Whye Teh, David Newman, Max Welling
    A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1353-1360 [Conf]
  171. Fabian J. Theis
    Towards a general independent subspace analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1361-1368 [Conf]
  172. Emanuel Todorov
    Linearly-solvable Markov decision problems. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1369-1376 [Conf]
  173. Ryota Tomioka, Kazuyuki Aihara, Klaus-Robert Müller
    Logistic Regression for Single Trial EEG Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1377-1384 [Conf]
  174. Lorenzo Torresani, Kuang-Chih Lee
    Large Margin Component Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1385-1392 [Conf]
  175. Lorenzo Torresani, Peggy Hackney, Christoph Bregler
    Learning Motion Style Synthesis from Perceptual Observations. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1393-1400 [Conf]
  176. Ivor W. Tsang, James T. Kwok
    Large-Scale Sparsified Manifold Regularization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1401-1408 [Conf]
  177. Joseph P. Turian, Benjamin Wellington, I. Dan Melamed
    Scalable Discriminative Learning for Natural Language Parsing and Translation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1409-1416 [Conf]
  178. Hamed Valizadegan, Rong Jin
    Generalized Maximum Margin Clustering and Unsupervised Kernel Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1417-1424 [Conf]
  179. Andrea Vedaldi, Stefano Soatto
    A Complexity-Distortion Approach to Joint Pattern Alignment. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1425-1432 [Conf]
  180. René Vidal
    Online Clustering of Moving Hyperplanes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1433-1440 [Conf]
  181. Jade P. Vinson, David DeCaprio, Matthew D. Pearson, Stacey Luoma, James E. Galagan
    Comparative Gene Prediction using Conditional Random Fields. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1441-1448 [Conf]
  182. S. V. N. Vishwanathan, Karsten M. Borgwardt, Nicol N. Schraudolph
    Fast Computation of Graph Kernels. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1449-1456 [Conf]
  183. Thomas Voegtlin
    Temporal Coding using the Response Properties of Spiking Neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1457-1464 [Conf]
  184. Martin J. Wainwright, Pradeep Ravikumar, John D. Lafferty
    High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1465-1472 [Conf]
  185. Yingxue Wang, Rodney J. Douglas, Shih-Chii Liu
    Attentional Processing on a Spike-Based VLSI Neural Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1473-1480 [Conf]
  186. Manfred K. Warmuth, Dima Kuzmin
    Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1481-1488 [Conf]
  187. Kilian Q. Weinberger, Fei Sha, Qihui Zhu, Lawrence K. Saul
    Graph Laplacian Regularization for Large-Scale Semidefinite Programming. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1489-1496 [Conf]
  188. Oliver Williams
    A Switched Gaussian Process for Estimating Disparity and Segmentation in Binocular Stereo. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1497-1504 [Conf]
  189. David P. Wipf, Rey Ramírez, Jason A. Palmer, Scott Makeig, Bhaskar Rao
    Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1505-1512 [Conf]
  190. Frank Wood, Thomas L. Griffiths
    Particle Filtering for Nonparametric Bayesian Matrix Factorization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1513-1520 [Conf]
  191. Lin Wu, Pierre Baldi
    A Scalable Machine Learning Approach to Go. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1521-1528 [Conf]
  192. Mingrui Wu, Bernhard Schölkopf
    A Local Learning Approach for Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1529-1536 [Conf]
  193. Huan Xu, Shie Mannor
    The Robustness-Performance Tradeoff in Markov Decision Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1537-1544 [Conf]
  194. Angela J. Yu
    Optimal Change-Detection and Spiking Neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1545-1552 [Conf]
  195. Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp, Zhao Xu
    Stochastic Relational Models for Discriminative Link Prediction. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1553-1560 [Conf]
  196. Ron Zass, Amnon Shashua
    Nonnegative Sparse PCA. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1561-1568 [Conf]
  197. Ron Zass, Amnon Shashua
    Doubly Stochastic Normalization for Spectral Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1569-1576 [Conf]
  198. Kai Zhang, James T. Kwok
    Simplifying Mixture Models through Function Approximation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1577-1584 [Conf]
  199. Xinhua Zhang, Wee Sun Lee
    Hyperparameter Learning for Graph Based Semi-supervised Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1585-1592 [Conf]
  200. Zhenyue Zhang, Jing Wang
    MLLE: Modified Locally Linear Embedding Using Multiple Weights. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1593-1600 [Conf]
  201. Dengyong Zhou, Jiayuan Huang, Bernhard Schölkopf
    Learning with Hypergraphs: Clustering, Classification, and Embedding. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1601-1608 [Conf]
  202. Zhi-Hua Zhou, Min-Ling Zhang
    Multi-Instance Multi-Label Learning with Application to Scene Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1609-1616 [Conf]
  203. Long Zhu, Yuanhao Chen, Alan L. Yuille
    Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1617-1624 [Conf]
  204. Johanna M. Zumer, Hagai Thomas Attias, Kensuke Sekihara, Srikantan S. Nagarajan
    A Probabilistic Algorithm Integrating Source Localization and Noise Suppression of MEG and EEG data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1625-1632 [Conf]
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