Advances in Neural Information Processing Systems 17 (NIPS 2004)
The papers below appear in Advances in Neural Information Processing Systems 17 edited by L.K. Saul and Y. Weiss and L. Bottou.They are proceedings from the conference, "Neural Information Processing Systems 2004."
- Learning first-order Markov models for control Pieter Abbeel, Andrew Y. Ng
- A Large Deviation Bound for the Area Under the ROC Curve Shivani Agarwal, Thore Graepel, Ralf Herbrich, Dan Roth
- Learning Preferences for Multiclass Problems Fabio Aiolli, Alessandro Sperduti
- Harmonising Chorales by Probabilistic Inference Moray Allan, Christopher Williams
- The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid Surfaces Dragomir Anguelov, Praveen Srinivasan, Hoi-cheung Pang, Daphne Koller, Sebastian Thrun, James Davis
- A Direct Formulation for Sparse PCA Using Semidefinite Programming Alexandre D'aspremont, Laurent E. Ghaoui, Michael I. Jordan, Gert R. Lanckriet
- Comparing Beliefs, Surveys, and Random Walks Erik Aurell, Uri Gordon, Scott Kirkpatrick
- The power of feature clustering: An application to object detection Shai Avidan, Moshe Butman
- Blind One-microphone Speech Separation: A Spectral Learning Approach Francis R. Bach, Michael I. Jordan
- Computing regularization paths for learning multiple kernels Francis R. Bach, Romain Thibaux, Michael I. Jordan
- Breaking SVM Complexity with Cross-Training Léon Bottou, Jason Weston, Gökhan H. Bakir
- Co-Training and Expansion: Towards Bridging Theory and Practice Maria-florina Balcan, Avrim Blum, Ke Yang
- Large-Scale Prediction of Disulphide Bond Connectivity Jianlin Cheng, Alessandro Vullo, Pierre F. Baldi
- Spike Sorting: Bayesian Clustering of Non-Stationary Data Aharon Bar-hillel, Adam Spiro, Eran Stark
- Exponentiated Gradient Algorithms for Large-margin Structured Classification Peter L. Bartlett, Michael Collins, Ben Taskar, David A. McAllester
- Maximising Sensitivity in a Spiking Network Anthony J. Bell, Lucas C. Parra
- Non-Local Manifold Tangent Learning Yoshua Bengio, Martin Monperrus
- Who's In the Picture Tamara L. Berg, Alexander C. Berg, Jaety Edwards, David A. Forsyth
- At the Edge of Chaos: Real-time Computations and Self-Organized Criticality in Recurrent Neural Networks Nils Bertschinger, Thomas Natschläger, Robert A. Legenstein
- A Second Order Cone programming Formulation for Classifying Missing Data Chiranjib Bhattacharyya, Pannagadatta K. Shivaswamy, Alex J. Smola
- Support Vector Classification with Input Data Uncertainty Jinbo Bi, Tong Zhang
- Responding to Modalities with Different Latencies Fredrik Bissmarck, Hiroyuki Nakahara, Kenji Doya, Okihide Hikosaka
- Nonlinear Blind Source Separation by Integrating Independent Component Analysis and Slow Feature Analysis Tobias Blaschke, Laurenz Wiskott
- Hierarchical Distributed Representations for Statistical Language Modeling John Blitzer, Fernando Pereira, Kilian Q. Weinberger, Lawrence K. Saul
- Markov Networks for Detecting Overalpping Elements in Sequence Data Mark Craven, Joseph Bockhorst
- Reducing Spike Train Variability: A Computational Theory Of Spike-Timing Dependent Plasticity Sander M. Bohte, Michael C. Mozer
- Convergence and No-Regret in Multiagent Learning Michael Bowling
- Dependent Gaussian Processes Phillip Boyle, Marcus Frean
- Proximity Graphs for Clustering and Manifold Learning Richard S. Zemel, Miguel Á. Carreira-Perpiñán
- Incremental Algorithms for Hierarchical Classification Nicolò Cesa-bianchi, Claudio Gentile, Andrea Tironi, Luca Zaniboni
- Worst-Case Analysis of Selective Sampling for Linear-Threshold Algorithms Nicolò Cesa-bianchi, Claudio Gentile, Luca Zaniboni
- Sub-Microwatt Analog VLSI Support Vector Machine for Pattern Classification and Sequence Estimation Shantanu Chakrabartty, Gert Cauwenberghs
- A Machine Learning Approach to Conjoint Analysis Olivier Chapelle, Zaïd Harchaoui
- Using Machine Learning to Break Visual Human Interaction Proofs (HIPs) Kumar Chellapilla, Patrice Y. Simard
- Hierarchical Eigensolver for Transition Matrices in Spectral Methods Chakra Chennubhotla, Allan D. Jepson
- Modeling Conversational Dynamics as a Mixed-Memory Markov Process Tanzeem Choudhury, Sumit Basu
- Theories of Access Consciousness Michael D. Colagrosso, Michael C. Mozer
- Distributed Information Regularization on Graphs Adrian Corduneanu, Tommi S. Jaakkola
- Confidence Intervals for the Area Under the ROC Curve Corinna Cortes, Mehryar Mohri
- Similarity and Discrimination in Classical Conditioning: A Latent Variable Account Aaron C. Courville, Nathaniel D. Daw, David S. Touretzky
- Trait Selection for Assessing Beef Meat Quality Using Non-linear SVM Juan Coz, Gustavo F. Bayón, Jorge Díez, Oscar Luaces, Antonio Bahamonde, Carlos Sañudo
- Semigroup Kernels on Finite Sets Marco Cuturi, Jean-philippe Vert
- Analysis of a greedy active learning strategy Sanjoy Dasgupta
- The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees Ofer Dekel, Shai Shalev-shwartz, Yoram Singer
- Bayesian inference in spiking neurons Sophie Deneve
- Triangle Fixing Algorithms for the Metric Nearness Problem Suvrit Sra, Joel Tropp, Inderjit S. Dhillon
- Pictorial Structures for Molecular Modeling: Interpreting Density Maps Frank Dimaio, George Phillips, Jude W. Shavlik
- Sparse Coding of Natural Images Using an Overcomplete Set of Limited Capacity Units Eizaburo Doi, Michael S. Lewicki
- Making Latin Manuscripts Searchable using gHMM's Jaety Edwards, Yee W. Teh, Roger Bock, Michael Maire, Grace Vesom, David A. Forsyth
- Seeing through water Alexei Efros, Volkan Isler, Jianbo Shi, Mirkó Visontai
- Experts in a Markov Decision Process Eyal Even-dar, Sham M. Kakade, Yishay Mansour
- Exploration-Exploitation Tradeoffs for Experts Algorithms in Reactive Environments Daniela D. Farias, Nimrod Megiddo
- A Cost-Shaping LP for Bellman Error Minimization with Performance Guarantees Daniela D. Farias, Benjamin V. Roy
- Learning Hyper-Features for Visual Identification Andras D. Ferencz, Erik G. Learned-miller, Jitendra Malik
- Sampling Methods for Unsupervised Learning Rob Fergus, Andrew Zisserman, Pietro Perona
- On-Chip Compensation of Device-Mismatch Effects in Analog VLSI Neural Networks Miguel Figueroa, Seth Bridges, Chris Diorio
- Object Classification from a Single Example Utilizing Class Relevance Metrics Michael Fink
- A Hidden Markov Model for de Novo Peptide Sequencing Bernd Fischer, Volker Roth, Jonas Grossmann, Sacha Baginsky, Wilhelm Gruissem, Franz Roos, Peter Widmayer, Joachim M. Buhmann
- Implicit Wiener Series for Higher-Order Image Analysis Matthias O. Franz, Bernhard Schölkopf
- Joint Probabilistic Curve Clustering and Alignment Scott J. Gaffney, Padhraic Smyth
- Discriminant Saliency for Visual Recognition from Cluttered Scenes Dashan Gao, Nuno Vasconcelos
- Instance-Based Relevance Feedback for Image Retrieval Giorgio Gia\-cin\-to, Fabio Roli
- Euclidean Embedding of Co-Occurrence Data Amir Globerson, Gal Chechik, Fernando Pereira, Naftali Tishby
- Hierarchical Clustering of a Mixture Model Jacob Goldberger, Sam T. Roweis
- Neighbourhood Components Analysis Jacob Goldberger, Geoffrey E. Hinton, Sam T. Roweis, Ruslan R. Salakhutdinov
- Parallel Support Vector Machines: The Cascade SVM Hans P. Graf, Eric Cosatto, Léon Bottou, Igor Dourdanovic, Vladimir Vapnik
- Semi-supervised Learning by Entropy Minimization Yves Grandvalet, Yoshua Bengio
- Integrating Topics and Syntax Thomas L. Griffiths, Mark Steyvers, David M. Blei, Joshua B. Tenenbaum
- Result Analysis of the NIPS 2003 Feature Selection Challenge Isabelle Guyon, Steve Gunn, Asa Ben-Hur, Gideon Dror
- Theory of localized synfire chain: characteristic propagation speed of stable spike pattern Kosuke Hamaguchi, Masato Okada, Kazuyuki Aihara
- The Entire Regularization Path for the Support Vector Machine Saharon Rosset, Robert Tibshirani, Ji Zhu, Trevor J. Hastie
- An Auditory Paradigm for Brain-Computer Interfaces N. J. Hill, Thomas N. Lal, Karin Bierig, Niels Birbaumer, Bernhard Schölkopf
- The Cerebellum Chip: an Analog VLSI Implementation of a Cerebellar Model of Classical Conditioning Constanze Hofstoetter, Manuel Gil, Kynan Eng, Giacomo Indiveri, Matti Mintz, Jörg Kramer, Paul F. Verschure
- Schema Learning: Experience-Based Construction of Predictive Action Models Michael P. Holmes, Charles Jr.
- Unsupervised Variational Bayesian Learning of Nonlinear Models Antti Honkela, Harri Valpola
- A Generalized Bradley-Terry Model: From Group Competition to Individual Skill Tzu-kuo Huang, Chih-jen Lin, Ruby C. Weng
- Message Errors in Belief Propagation Alexander T. Ihler, John W. Fisher, Alan S. Willsky
- Parametric Embedding for Class Visualization Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum
- The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space Robert Jenssen, Deniz Erdogmus, Jose Principe, Torbjørn Eltoft
- Economic Properties of Social Networks Sham M. Kakade, Michael Kearns, Luis E. Ortiz, Robin Pemantle, Siddharth Suri
- Online Bounds for Bayesian Algorithms Sham M. Kakade, Andrew Y. Ng
- Maximal Margin Labeling for Multi-Topic Text Categorization Hideto Kazawa, Tomonori Izumitani, Hirotoshi Taira, Eisaku Maeda
- Generalization Error and Algorithmic Convergence of Median Boosting Balázs Kégl
- Boosting on Manifolds: Adaptive Regularization of Base Classifiers Ligen Wang, Balázs Kégl
- Face Detection --- Efficient and Rank Deficient Wolf Kienzle, Matthias O. Franz, Bernhard Schölkopf, Gökhan H. Bakir
- Neural Network Computation by In Vitro Transcriptional Circuits Jongmin Kim, John Hopfield, Erik Winfree
- Synchronization of neural networks by mutual learning and its application to cryptography Einat Klein, Rachel Mislovaty, Ido Kanter, Andreas Ruttor, Wolfgang Kinzel
- Nearly Tight Bounds for the Continuum-Armed Bandit Problem Robert D. Kleinberg
- Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance Imaging Vladimir Koltchinskii, Manel Martínez-ramón, Stefan Posse
- Newscast EM Wojtek Kowalczyk, Nikos A. Vlassis
- On Semi-Supervised Classification Balaji Krishnapuram, David Williams, Ya Xue, Lawrence Carin, Mário Figueiredo, Alexander J. Hartemink
- An Application of Boosting to Graph Classification Taku Kudo, Eisaku Maeda, Yuji Matsumoto
- Methods Towards Invasive Human Brain Computer Interfaces Thomas N. Lal, Thilo Hinterberger, Guido Widman, Michael Schröder, N. J. Hill, Wolfgang Rosenstiel, Christian E. Elger, Niels Birbaumer, Bernhard Schölkopf
- Beat Tracking the Graphical Model Way Dustin Lang, Nando D. Freitas
- Semi-supervised Learning via Gaussian Processes Neil D. Lawrence, Michael I. Jordan
- Joint MRI Bias Removal Using Entropy Minimization Across Images Erik G. Learned-miller, Parvez Ahammad
- Rate- and Phase-coded Autoassociative Memory Máté Lengyel, Peter Dayan
- Maximum Likelihood Estimation of Intrinsic Dimension Elizaveta Levina, Peter J. Bickel
- Planning for Markov Decision Processes with Sparse Stochasticity Maxim Likhachev, Sebastian Thrun, Geoffrey J. Gordon
- Incremental Learning for Visual Tracking Jongwoo Lim, David A. Ross, Ruei-sung Lin, Ming-Hsuan Yang
- Adaptive Discriminative Generative Model and Its Applications Ruei-sung Lin, David A. Ross, Jongwoo Lim, Ming-Hsuan Yang
- Bayesian Regularization and Nonnegative Deconvolution for Time Delay Estimation Yuanqing Lin, Daniel D. Lee
- Multiple Alignment of Continuous Time Series Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Andrew Emili
- An Investigation of Practical Approximate Nearest Neighbor Algorithms Ting Liu, Andrew W. Moore, Ke Yang, Alexander G. Gray
- Mistake Bounds for Maximum Entropy Discrimination Philip M. Long, Xinyu Wu
- A Three Tiered Approach for Articulated Object Action Modeling and Recognition Le Lu, Gregory D. Hager, Laurent Younes
- Semi-supervised Learning with Penalized Probabilistic Clustering Zhengdong Lu, Todd K. Leen
- Limits of Spectral Clustering Ulrike V. Luxburg, Olivier Bousquet, Mikhail Belkin
- Methods for Estimating the Computational Power and Generalization Capability of Neural Microcircuits Wolfgang Maass, Robert A. Legenstein, Nils Bertschinger
- Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification Algorithms Omid Madani, David M. Pennock, Gary W. Flake
- PAC-Bayes Learning of Conjunctions and Classification of Gene-Expression Data Mario Marchand, Mohak Shah
- Joint Tracking of Pose, Expression, and Texture using Conditionally Gaussian Filters Tim K. Marks, J. C. Roddey, Javier R. Movellan, John R. Hershey
- Linear Multilayer Independent Component Analysis for Large Natural Scenes Yoshitatsu Matsuda, Kazunori Yamaguchi
- Conditional Models of Identity Uncertainty with Application to Noun Coreference Andrew McCallum, Ben Wellner
- Multiple Relational Embedding Roland Memisevic, Geoffrey E. Hinton
- Kernels for Multi--task Learning Charles A. Micchelli, Massimiliano Pontil
- A Topographic Support Vector Machine: Classification Using Local Label Configurations Johannes Mohr, Klaus Obermayer
- Optimal Information Decoding from Neuronal Populations with Specific Stimulus Selectivity Marcelo A. Montemurro, Stefano Panzeri
- Validity Estimates for Loopy Belief Propagation on Binary Real-world Networks Joris M. Mooij, Hilbert J. Kappen
- Common-Frame Model for Object Recognition Pierre Moreels, Pietro Perona
- Optimal sub-graphical models Mukund Narasimhan, Jeff A. Bilmes
- Detecting Significant Multidimensional Spatial Clusters Daniel B. Neill, Andrew W. Moore, Francisco Pereira, Tom M. Mitchell
- Stable adaptive control with online learning H. J. Kim, Andrew Y. Ng
- Mass Meta-analysis in Talairach Space Finn \. Nielsen
- A Harmonic Excitation State-Space Approach to Blind Separation of Speech Rasmus K. Olsson, Lars K. Hansen
- Expectation Consistent Free Energies for Approximate Inference Manfred Opper, Ole Winther
- Discrete profile alignment via constrained information bottleneck Sean O'rourke, Gal Chechik, Robin Friedman, Eleazar Eskin
- Synergistic Face Detection and Pose Estimation with Energy-Based Models Margarita Osadchy, Matthew L. Miller, Yann L. Cun
- Log-concavity Results on Gaussian Process Methods for Supervised and Unsupervised Learning Liam Paninski
- Variational Minimax Estimation of Discrete Distributions under KL Loss Liam Paninski
- Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution Hyun J. Park, Te W. Lee
- Approximately Efficient Online Mechanism Design David C. Parkes, Dimah Yanovsky, Satinder P. Singh
- Efficient Out-of-Sample Extension of Dominant-Set Clusters Massimiliano Pavan, Marcello Pelillo
- A Feature Selection Algorithm Based on the Global Minimization of a Generalization Error Bound Dori Peleg, Ron Meir
- Active Learning for Anomaly and Rare-Category Detection Dan Pelleg, Andrew W. Moore
- VDCBPI: an Approximate Scalable Algorithm for Large POMDPs Pascal Poupart, Craig Boutilier
- New Criteria and a New Algorithm for Learning in Multi-Agent Systems Rob Powers, Yoav Shoham
- Conditional Random Fields for Object Recognition Ariadna Quattoni, Michael Collins, Trevor Darrell
- Chemosensory Processing in a Spiking Model of the Olfactory Bulb: Chemotopic Convergence and Center Surround Inhibition Baranidharan Raman, Ricardo Gutierrez-osuna
- Hierarchical Bayesian Inference in Networks of Spiking Neurons Rajesh P. Rao
- An Information Maximization Model of Eye Movements Laura W. Renninger, James M. Coughlan, Preeti Verghese, Jitendra Malik
- Brain Inspired Reinforcement Learning Françcois Rivest, Yoshua Bengio, John Kalaska
- Coarticulation in Markov Decision Processes Khashayar Rohanimanesh, Robert Platt, Sridhar Mahadevan, Roderic Grupen
- Learning, Regularization and Ill-Posed Inverse Problems Lorenzo Rosasco, Andrea Caponnetto, Ernesto D. Vito, Francesca Odone, Umberto D. Giovannini
- Following Curved Regularized Optimization Solution Paths Saharon Rosset
- A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning Saharon Rosset, Ji Zhu, Hui Zou, Trevor J. Hastie
- Outlier Detection with One-class Kernel Fisher Discriminants Volker Roth
- Semi-parametric Exponential Family PCA Sajama Sajama, Alon Orlitsky
- Semi-Markov Conditional Random Fields for Information Extraction Sunita Sarawagi, William W. Cohen
- Kernel Methods for Implicit Surface Modeling Joachim Giesen, Simon Spalinger, Bernhard Schölkopf
- Edge of Chaos Computation in Mixed-Mode VLSI - A Hard Liquid Felix Schürmann, Karlheinz Meier, Johannes Schemmel
- Learning Gaussian Process Kernels via Hierarchical Bayes Anton Schwaighofer, Volker Tresp, Kai Yu
- Assignment of Multiplicative Mixtures in Natural Images Odelia Schwartz, Terrence J. Sejnowski, Peter Dayan
- On the Adaptive Properties of Decision Trees Clayton Scott, Robert Nowak
- Real-Time Pitch Determination of One or More Voices by Nonnegative Matrix Factorization Fei Sha, Lawrence K. Saul
- Probabilistic Inference of Alternative Splicing Events in Microarray Data Ofer Shai, Brendan J. Frey, Quaid D. Morris, Qun Pan, Christine Misquitta, Benjamin J. Blencowe
- Resolving Perceptual Aliasing In The Presence Of Noisy Sensors Guy Shani, Ronen I. Brafman
- Algebraic Set Kernels with Application to Inference Over Local Image Representations Amnon Shashua, Tamir Hazan
- Dynamic Bayesian Networks for Brain-Computer Interfaces Pradeep Shenoy, Rajesh P. Rao
- A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities Lavi Shpigelman, Koby Crammer, Rony Paz, Eilon Vaadia, Yoram Singer
- Intrinsically Motivated Reinforcement Learning Nuttapong Chentanez, Andrew G. Barto, Satinder P. Singh
- Learning Efficient Auditory Codes Using Spikes Predicts Cochlear Filters Evan C. Smith, Michael S. Lewicki
- Learning Syntactic Patterns for Automatic Hypernym Discovery Rion Snow, Daniel Jurafsky, Andrew Y. Ng
- Surface Reconstruction using Learned Shape Models Jan E. Solem, Fredrik Kahl
- Using the Equivalent Kernel to Understand Gaussian Process Regression Peter Sollich, Christopher Williams
- Generalization Error Bounds for Collaborative Prediction with Low-Rank Matrices Nathan Srebro, Noga Alon, Tommi S. Jaakkola
- Maximum-Margin Matrix Factorization Nathan Srebro, Jason Rennie, Tommi S. Jaakkola
- Density Level Detection is Classification Ingo Steinwart, Don Hush, Clint Scovel
- Fast Rates to Bayes for Kernel Machines Ingo Steinwart, Clint Scovel
- Modelling Uncertainty in the Game of Go David H. Stern, Thore Graepel, David MacKay
- Constraining a Bayesian Model of Human Visual Speed Perception Alan Stocker, Eero P. Simoncelli
- Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation Erik B. Sudderth, Michael I. Mandel, William T. Freeman, Alan S. Willsky
- Temporal-Difference Networks Richard S. Sutton, Brian Tanner
- Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes Yee W. Teh, Michael I. Jordan, Matthew J. Beal, David M. Blei
- Heuristics for Ordering Cue Search in Decision Making Peter M. Todd, Anja Dieckmann
- Contextual Models for Object Detection Using Boosted Random Fields Antonio Torralba, Kevin P. Murphy, William T. Freeman
- Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model Taro Toyoizumi, Jean-pascal Pfister, Kazuyuki Aihara, Wulfram Gerstner
- Synergies between Intrinsic and Synaptic Plasticity in Individual Model Neurons Jochen Triesch
- Matrix Exponential Gradient Updates for On-line Learning and Bregman Projection Koji Tsuda, Gunnar Rätsch, Manfred K. Warmuth
- Supervised Graph Inference Jean-philippe Vert, Yoshihiro Yamanishi
- Binet-Cauchy Kernels Alex J. Smola, S.v.n. Vishwanathan
- Instance-Specific Bayesian Model Averaging for Classification Shyam Visweswaran, Gregory F. Cooper
- Saliency-Driven Image Acuity Modulation on a Reconfigurable Array of Spiking Silicon Neurons R. J. Vogelstein, Udayan Mallik, Eugenio Culurciello, Gert Cauwenberghs, Ralph Etienne-Cummings
- Identifying Protein-Protein Interaction Sites on a Genome-Wide Scale Haidong Wang, Eran Segal, Asa Ben-Hur, Daphne Koller, Douglas L. Brutlag
- Adaptive Manifold Learning Jing Wang, Zhenyue Zhang, Hongyuan Zha
- Exponential Family Harmoniums with an Application to Information Retrieval Max Welling, Michal Rosen-zvi, Geoffrey E. Hinton
- Machine Learning Applied to Perception: Decision Images for Gender Classification Felix A. Wichmann, Arnulf B. Graf, Heinrich H. Bülthoff, Eero P. Simoncelli, Bernhard Schölkopf
- The Variational Ising Classifier (VIC) Algorithm for Coherently Contaminated Data Oliver Williams, Andrew Blake, Roberto Cipolla
- Generative Affine Localisation and Tracking John Winn, Andrew Blake
- ℓ₀-norm Minimization for Basis Selection David P. Wipf, Bhaskar D. Rao
- Multi-agent Cooperation in Diverse Population Games K. Wong, S. W. Lim, Z. Gao
- Efficient Kernel Discriminant Analysis via QR Decomposition Tao Xiong, Jieping Ye, Qi Li, Ravi Janardan, Vladimir Cherkassky
- Maximum Margin Clustering Linli Xu, James Neufeld, Bryce Larson, Dale Schuurmans
- Using Random Forests in the Structured Language Model Peng Xu, Frederick Jelinek
- Solitaire: Man Versus Machine Xiang Yan, Persi Diaconis, Paat Rusmevichientong, Benjamin V. Roy
- Efficient Kernel Machines Using the Improved Fast Gauss Transform Changjiang Yang, Ramani Duraiswami, Larry S. Davis
- Two-Dimensional Linear Discriminant Analysis Jieping Ye, Ravi Janardan, Qi Li
- Inference, Attention, and Decision in a Bayesian Neural Architecture Angela J. Yu, Peter Dayan
- The Rescorla-Wagner Algorithm and Maximum Likelihood Estimation of Causal Parameters Alan L. Yuille
- The Convergence of Contrastive Divergences Alan L. Yuille
- Self-Tuning Spectral Clustering Lihi Zelnik-manor, Pietro Perona
- Probabilistic Computation in Spiking Populations Richard S. Zemel, Rama Natarajan, Peter Dayan, Quentin J. Huys
- A Probabilistic Model for Online Document Clustering with Application to Novelty Detection Jian Zhang, Zoubin Ghahramani, Yiming Yang
- Class-size Independent Generalization Analsysis of Some Discriminative Multi-Category Classification Tong Zhang
- Semi-supervised Learning on Directed Graphs Denny Zhou, Thomas Hofmann, Bernhard Schölkopf
- Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning Xiaojin Zhu, Jaz Kandola, Zoubin Ghahramani, John D. Lafferty
- Kernel Projection Machine: a New Tool for Pattern Recognition Laurent Zwald, Gilles Blanchard, Pascal Massart, Régis Vert