Conferences in DBLP
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 ] Amiran Ambroladze , Emilio Parrado-Hernández , John Shawe-Taylor Tighter PAC-Bayes Bounds. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:9-16 [Conf ] 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 ] Rie Kubota Ando , Tong Zhang Learning on Graph with Laplacian Regularization. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:25-32 [Conf ] 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 ] Andreas Argyriou , Theodoros Evgeniou , Massimiliano Pontil Multi-Task Feature Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:41-48 [Conf ] Peter Auer , Ronald Ortner Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:49-56 [Conf ] Shai Avidan , Moshe Butman Efficient Methods for Privacy Preserving Face Detection. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:57-64 [Conf ] Francis R. Bach Active learning for misspecified generalized linear models. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:65-72 [Conf ] Aharon Bar-Hillel , Daphna Weinshall Subordinate class recognition using relational object models. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:73-80 [Conf ] 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 ] 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 ] Peter L. Bartlett , Ambuj Tewari Sample Complexity of Policy Search with Known Dynamics. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:97-104 [Conf ] Peter L. Bartlett , Mikhail Traskin AdaBoost is Consistent. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:105-112 [Conf ] 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 ] 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 ] Mikhail Belkin , Partha Niyogi Convergence of Laplacian Eigenmaps. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:129-136 [Conf ] 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 ] Eli Ben-Sasson , Adam Tauman Kalai , Ehud Kalai An Approach to Bounded Rationality. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:145-152 [Conf ] 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 ] Steffen Bickel , Tobias Scheffer Dirichlet-Enhanced Spam Filtering based on Biased Samples. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:161-168 [Conf ] Alessandro Bissacco , Ming-Hsuan Yang , Stefano Soatto Detecting Humans via Their Pose. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:169-176 [Conf ] Oren Boiman , Michal Irani Similarity by Composition. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:177-184 [Conf ] 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 ] 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 ] Peter Carbonetto , Nando de Freitas Conditional mean field. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:201-208 [Conf ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] Hugh A. Chipman , Edward I. George , Robert E. McCulloch Bayesian Ensemble Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:265-272 [Conf ] 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 ] 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 ] 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 ] David Cohn , Deepak Verma , Karl Pfleger Recursive Attribute Factoring. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:297-304 [Conf ] Corinna Cortes , Mehryar Mohri On Transductive Regression. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:305-312 [Conf ] Timothée Cour , Praveen Srinivasan , Jianbo Shi Balanced Graph Matching. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:313-320 [Conf ] Koby Crammer , Michael Kearns , Jennifer Wortman Learning from Multiple Sources. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:321-328 [Conf ] Marco Cuturi , Kenji Fukumizu Kernels on Structured Objects Through Nested Histograms. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:329-336 [Conf ] Jason V. Davis , Inderjit S. Dhillon Differential Entropic Clustering of Multivariate Gaussians. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:337-344 [Conf ] Ofer Dekel , Yoram Singer Support Vector Machines on a Budget. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:345-352 [Conf ] Eizaburo Doi , Michael S. Lewicki A Theory of Retinal Population Coding. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:353-360 [Conf ] Piotr Dollar , Serge Belongie , Vincent Rabaud Learning to Traverse Image Manifolds. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:361-368 [Conf ] 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 ] Ran El-Yaniv , Mordechai Nisenson Optimal Single-Class Classification Strategies. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:377-384 [Conf ] Eyal Even-Dar , Michael Kearns A Small World Threshold for Economic Network Formation. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:385-392 [Conf ] Yu Feng , Greg Hamerly PG-means: learning the number of clusters in data. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:393-400 [Conf ] 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 ] Karim Filali , Jeff A. Bilmes Multi-dynamic Bayesian Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:409-416 [Conf ] 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 ] 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 ] Stanislav Funiak , Carlos Guestrin , Mark Paskin , Rahul Sukthankar Distributed Inference in Dynamical Systems. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:433-440 [Conf ] 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 ] 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 ] Mohammad Ghavamzadeh , Yaakov Engel Bayesian Policy Gradient Algorithms. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:457-464 [Conf ] Mark Girolami , Mingjun Zhong Data Integration for Classification Problems Employing Gaussian Process Priors. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:465-472 [Conf ] Amir Globerson , Tommi Jaakkola Approximate inference using planar graph decomposition. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:473-480 [Conf ] 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 ] Geoffrey J. Gordon No-regret Algorithms for Online Convex Programs. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:489-496 [Conf ] 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 ] Kristen Grauman , Trevor Darrell Approximate Correspondences in High Dimensions. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:505-512 [Conf ] 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 ] 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 ] 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 ] 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 ] Jonathan Harel , Christof Koch , Pietro Perona Graph-Based Visual Saliency. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:545-552 [Conf ] 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 ] Matthias Hein , Markus Maier Manifold Denoising. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:561-568 [Conf ] Ralf Herbrich , Tom Minka , Thore Graepel TrueSkillTM : A Bayesian Skill Rating System. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:569-576 [Conf ] Mark Herbster , Massimiliano Pontil Prediction on a Graph with a Perceptron. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:577-584 [Conf ] Alfred O. Hero III Geometric entropy minimization (GEM) for anomaly detection and localization. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:585-592 [Conf ] 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 ] 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 ] Ke Huang , Selin Aviyente Sparse Representation for Signal Classification. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:609-616 [Conf ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] Seyoung Kim , Padhraic Smyth Hierarchical Dirichlet Processes with Random Effects. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:697-704 [Conf ] 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 ] 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 ] Ryota Kobayashi , Shigeru Shinomoto Predicting spike times from subthreshold dynamics of a neuron. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:721-728 [Conf ] Risi Imre Kondor , Tony Jebara Gaussian and Wishart Hyperkernels. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:729-736 [Conf ] Konrad P. Körding , Joshua B. Tenenbaum Causal inference in sensorimotor integration. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:737-744 [Conf ] 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 ] 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 ] Kenichi Kurihara , Max Welling , Nikos A. Vlassis Accelerated Variational Dirichlet Process Mixtures. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:761-768 [Conf ] 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 ] 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 ] Neil D. Lawrence , Guido Sanguinetti , Magnus Rattray Modelling transcriptional regulation using Gaussian Processes. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:785-792 [Conf ] 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 ] Honglak Lee , Alexis Battle , Rajat Raina , Andrew Y. Ng Efficient sparse coding algorithms. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:801-808 [Conf ] 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 ] 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 ] 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 ] Máté Lengyel , Peter Dayan Uncertainty, phase and oscillatory hippocampal recall. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:833-840 [Conf ] Anat Levin Blind Motion Deblurring Using Image Statistics. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:841-848 [Conf ] Roger Levy , T. Florian Jaeger Speakers optimize information density through syntactic reduction. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:849-856 [Conf ] 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 ] Ling Li , Hsuan-Tien Lin Ordinal Regression by Extended Binary Classification. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:865-872 [Conf ] 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 ] 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 ] Yi Li , Philip M. Long Learnability and the doubling dimension. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:889-896 [Conf ] 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 ] 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 ] Ce Liu , William T. Freeman , Edward H. Adelson Analysis of Contour Motions. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:913-920 [Conf ] 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 ] 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 ] 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 ] 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 ] 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 ] Yi Mao , Guy Lebanon Isotonic Conditional Random Fields and Local Sentiment Flow. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:961-968 [Conf ] Graham McNeill , Sethu Vijayakumar Part-based Probabilistic Point Matching using Equivalence Constraints. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:969-976 [Conf ] 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 ] 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 ] 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 ] 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 ] 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 ] Boaz Nadler , Meirav Galun Fundamental Limitations of Spectral Clustering. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:1017-1024 [Conf ] 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 ] 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 ] 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 ] Lars Omlor , Martin Giese Blind source separation for over-determined delayed mixtures. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:1049-1056 [Conf ] 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 ] Sandeep Pandey , Christopher Olston Handling Advertisements of Unknown Quality in Search Advertising. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:1065-1072 [Conf ] Sridevi Parise , Max Welling Bayesian Model Scoring in Markov Random Fields. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:1073-1080 [Conf ] 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 ] 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 ] Yuan (Alan) Qi , Tommi Jaakkola Parameter Expanded Variational Bayesian Methods. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:1097-1104 [Conf ] 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 ] Ali Rahimi , Ben Recht Unsupervised Regression with Applications to Nonlinear System Identification. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:1113-1120 [Conf ] Alexander Rakhlin , Andrea Caponnetto Stability of $K$-Means Clustering. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:1121-1128 [Conf ] Deva Ramanan Learning to parse images of articulated bodies. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:1129-1136 [Conf ] 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 ] Martin Raphan , Eero P. Simoncelli Learning to be Bayesian without Supervision. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:1145-1152 [Conf ] 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 ] Gunnar Rätsch , Sören Sonnenburg Large Scale Hidden Semi-Markov SVMs. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:1161-1168 [Conf ] Silvia Richter , Douglas Aberdeen , Jin Yu Natural Actor-Critic for Road Traffic Optimisation. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:1169-1176 [Conf ] 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 ] 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 ] Benjamin I. P. Rubinstein , Peter L. Bartlett , J. 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