|
|
NIPS*2004
|
| Convergence and No-Regret in Multiagent Learning Michael Bowling [ps.gz][pdf][djvu][bibtex] Large-Scale Prediction of Disulphide Bond Connectivity Pierre Baldi, Jianlin Cheng, Alessandro Vullo [ps.gz][pdf][djvu][bibtex] Hierarchical Clustering of a Mixture Model Jacob Goldberger, Sam Roweis [ps.gz][pdf][djvu][bibtex] Exploration-Exploitation Tradeoffs for Experts Algorithms in Reactive Environments Daniela de Farias, Nimrod Megiddo [ps.gz][pdf][djvu][bibtex] Class-size Independent Generalization Analsysis of Some Discriminative Multi-Category Classification Tong Zhang [ps.gz][pdf][djvu][bibtex] Maximum Likelihood Estimation of Intrinsic Dimension Elizaveta Levina, Peter J. Bickel [ps.gz][pdf][djvu][bibtex] Message Errors in Belief Propagation Alexander T. Ihler, John W. Fisher, Alan S. Willsky [ps.gz][pdf][djvu][bibtex] Seeing through water Alexei Efros, Volkan Isler, Jianbo Shi, Mirko Visontai [ps.gz][pdf][djvu][bibtex] Detecting Significant Multidimensional Spatial Clusters Daniel B. Neill, Andrew W. Moore, Francisco Pereira, Tom Mitchell [ps.gz][pdf][djvu][bibtex] Algebraic Set Kernels with Application to Inference Over Local Image Representations Amnon Shashua, Tamir Hazan [ps.gz][pdf][djvu][bibtex] Neighbourhood Components Analysis Jacob Goldberger, Sam Roweis, Geoffrey Hinton, Ruslan Salakhutdinov [ps.gz][pdf][djvu][bibtex] Incremental Algorithms for Hierarchical Classification Nicol`o Cesa-Bianchi, Claudio Gentile, Andrea Tironi, Luca Zaniboni [ps.gz][pdf][djvu][bibtex] Resolving Perceptual Aliasing In The Presence Of Noisy Sensors Guy Shani, Ronen I. Brafman [ps.gz][pdf][djvu][bibtex] PAC-Bayes Learning of Conjunctions and Classification of Gene-Expression Data Mario Marchand, Mohak Shah [ps.gz][pdf][djvu][bibtex] A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities Lavi Shpigelman, Koby Crammer, Rony Paz, Eilon Vaadia, Yoram Singer [ps.gz][pdf][djvu][bibtex] Generative Affine Localisation and Tracking John Winn, Andrew Blake [ps.gz][pdf][djvu][bibtex] Semi-parametric Exponential Family PCA Sajama, Alon Orlitsky [ps.gz][pdf][djvu][bibtex] Density Level Detection is Classification Ingo Steinwart, Don Hush, Clint Scovel [ps.gz][pdf][djvu][bibtex] Fast Rates to Bayes for Kernel Machines Ingo Steinwart, Clint Scovel [ps.gz][pdf][djvu][bibtex] Nonlinear Blind Source Separation by Integrating Independent Component Analysis and Slow Feature Analysis Tobias Blaschke, Laurenz Wiskott [ps.gz][pdf][djvu][bibtex] An Investigation of Practical Approximate Nearest Neighbor Algorithms Ting Liu, Andrew W. Moore, Alexander Gray, Ke Yang [ps.gz][pdf][djvu][bibtex] Parallel Support Vector Machines: The Cascade SVM Hans Peter Graf, Eric Cosatto, Leon Bottou, Igor Dourdanovic, Vladimir Vapnik [ps.gz][pdf][djvu][bibtex] Result Analysis of the NIPS 2003 Feature Selection Challenge Isabelle Guyon, Steve Gunn, Asa Ben-Hur, Gideon Dror [ps.gz][pdf][djvu][bibtex] Support Vector Classification with Input Data Uncertainty Jinbo Bi, Tong Zhang [ps.gz][pdf][djvu][bibtex] Discriminant Saliency for Visual Recognition from Cluttered Scenes Dashan Gao, Nuno Vasconcelos [ps.gz][pdf][djvu][bibtex] Confidence Intervals for the Area Under the ROC Curve Corinna Cortes, Mehryar Mohri [ps.gz][pdf][djvu][bibtex] On Semi-Supervised Classification Balaji Krishnapuram, David Williams, Ya Xue, Alexander Hartemink, Lawrence Carin, Mario Figueiredo [ps.gz][pdf][djvu][bibtex] Two-Dimensional Linear Discriminant Analysis Jieping Ye, Ravi Janardan, Qi Li [ps.gz][pdf][djvu][bibtex] Efficient Kernel Discriminant Analysis via QR Decomposition Tao Xiong, Jieping Ye, Qi Li, Ravi Janardan, Vladimir Cherkassky [ps.gz][pdf][djvu][bibtex] Dependent Gaussian Processes Phillip Boyle, Marcus Frean [ps.gz][pdf][djvu][bibtex] Synchronization of neural networks by mutual learning and its application to cryptography Einat Klein, Rachel Mislovaty, Ido Kanter, Andreas Ruttor, Wolfgang Kinzel [ps.gz][pdf][djvu][bibtex] Learning Hyper-Features for Visual Identification Andras D. Ferencz, Erik G. Learned-Miller, Jitendra Malik [ps.gz][pdf][djvu][bibtex] A Probabilistic Model for Online Document Clustering with Application to Novelty Detection Jian Zhang, Zoubin Ghahramani, Yiming Yang [ps.gz][pdf][djvu][bibtex] Reducing Spike Train Variability: A Computational Theory Of Spike-Timing Dependent Plasticity Sander M. Bohte, Michael C. Mozer [ps.gz][pdf][djvu][bibtex] Maximal Margin Labeling for Multi-Topic Text Categorization Hideto Kazawa, Tomonori Izumitani, Hirotoshi Taira, Eisaku Maeda [ps.gz][pdf][djvu][bibtex] Spike Sorting: Bayesian Clustering of Non-Stationary Data Aharon Bar-Hillel, Adam Spiro, Eran Stark [ps.gz][pdf][djvu][bibtex] Neural Network Computation by In Vitro Transcriptional Circuits Jongmin Kim, John Hopfield, Erik Winfree [ps.gz][pdf][djvu][bibtex] A Topographic Support Vector Machine: Classification Using Local Label Configurations Johannes Mohr, Klaus Obermayer [ps.gz][pdf][djvu][bibtex] Semi-supervised Learning via Gaussian Processes Neil D. Lawrence, Michael I. Jordan [ps.gz][pdf][djvu][bibtex] The Rescorla-Wagner Algorithm and Maximum Likelihood Estimation of Causal Parameters Alan Yuille [ps.gz][pdf][djvu][bibtex] The Convergence of Contrastive Divergences Alan Yuille [ps.gz][pdf][djvu][bibtex] A Second Order Cone programming Formulation for Classifying Missing Data Chiranjib Bhattacharyya, Pannagadatta K. Shivaswamy, Alex Smola [ps.gz][pdf][djvu][bibtex] Harmonising Chorales by Probabilistic Inference Moray Allan, Christopher K. I. Williams [ps.gz][pdf][djvu][bibtex] Linear Multilayer Independent Component Analysis for Large Natural Scenes Yoshitatsu Matsuda, Kazunori Yamaguchi [ps.gz][pdf][djvu][bibtex] The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer [ps.gz][pdf][djvu][bibtex] Limits of Spectral Clustering Ulrike von Luxburg, Olivier Bousquet, Mikhail Belkin [ps.gz][pdf][djvu][bibtex] Edge of Chaos Computation in Mixed-Mode VLSI - A Hard Liquid Felix Schurmann, Karlheinz Meier, Johannes Schemmel [ps.gz][pdf][djvu][bibtex] Heuristics for Ordering Cue Search in Decision Making Peter M. Todd, Anja Dieckmann [ps.gz][pdf][djvu][bibtex] Surface Reconstruction using Learned Shape Models Jan Erik Solem, Fredrik Kahl [ps.gz][pdf][djvu][bibtex] Trait Selection for Assessing Beef Meat Quality Using Non-linear SVM Juan Jose del Coz, Gustavo F. Bayon, Jorge Diez, Oscar Luaces, Antonio Bahamonde, Carlos Sanudo [ps.gz][pdf][djvu][bibtex] Outlier Detection with One-class Kernel Fisher Discriminants Volker Roth [ps.gz][pdf][djvu][bibtex] Mistake Bounds for Maximum Entropy Discrimination Philip M. Long, Xinyu Wu [ps.gz][pdf][djvu][bibtex] Worst-Case Analysis of Selective Sampling for Linear-Threshold Algorithms Nicol`o Cesa-Bianchi, Claudio Gentile, Luca Zaniboni [ps.gz][pdf][djvu][bibtex] Object Classification from a Single Example Utilizing Class Relevance Metrics Michael Fink [ps.gz][pdf][djvu][bibtex] Methods for Estimating the Computational Power and Generalization Capability of Neural Microcircuits Wolfgang Maass, Robert A. Legenstein, Nils Bertschinger [ps.gz][pdf][djvu][bibtex] Unsupervised Variational Bayesian Learning of Nonlinear Models Antti Honkela, Harri Valpola [ps.gz][pdf][djvu][bibtex] Real-Time Pitch Determination of One or More Voices by Nonnegative Matrix Factorization Fei Sha, Lawrence Saul [ps.gz][pdf][djvu][bibtex] Log-concavity Results on Gaussian Process Methods for Supervised and Unsupervised Learning Liam Paninski [ps.gz][pdf][djvu][bibtex] Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning Xiaojin Zhu, Jaz Kandola, Zoubin Ghahramani, John Lafferty [ps.gz][pdf][djvu][bibtex] The Variational Ising Classifier (VIC) Algorithm for Coherently Contaminated Data Oliver M. C. Williams, Andrew Blake, Roberto Cipolla [ps.gz][pdf][djvu][bibtex] A Generalized Bradley-Terry Model: From Group Competition to Individual Skill Tzu-Kuo Huang, Chih-Jen Lin, Ruby C. Weng [ps.gz][pdf][djvu][bibtex] The Cerebellum Chip: an Analog VLSI Implementation of a Cerebellar Model of Classical Conditioning Constanze Hofstoetter, Manuel Gil, Kynan Eng, Giacomo Indiveri, Matti Mintz, Joerg Kramer, Paul Verschure [ps.gz][pdf][djvu][bibtex] Following Curved Regularized Optimization Solution Paths Saharon Rosset [ps.gz][pdf][djvu][bibtex] Sampling Methods for Unsupervised Learning Rob Fergus, Andrew Zisserman, Pietro Perona [ps.gz][pdf][djvu][bibtex] Implicit Wiener Series for Higher-Order Image Analysis Matthias O. Franz, Bernhard Scholkopf [ps.gz][pdf][djvu][bibtex] The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space Robert Jenssen, Deniz Erdogmus, Jose Principe, Torbjo rn Eltoft [ps.gz][pdf][djvu][bibtex] Using the Equivalent Kernel to Understand Gaussian Process Regression Peter Sollich, Christopher K. I. Williams [ps.gz][pdf][djvu][bibtex] Learning Preferences for Multiclass Problems Fabio Aiolli, Alessandro Sperduti [ps.gz][pdf][djvu][bibtex] An Application of Boosting to Graph Classification Taku Kudo, Eisaku Maeda, Yuji Matsumoto [ps.gz][pdf][djvu][bibtex] Efficient Out-of-Sample Extension of Dominant-Set Clusters Massimiliano Pavan, Marcello Pelillo [ps.gz][pdf][djvu][bibtex] A Hidden Markov Model for de Novo Peptide Sequencing Bernd Fischer, Volker Roth, Joachim Buhmann, Jonas Grossmann, Sacha Baginsky, Wilhelm Gruissem, Franz Roos, Peter Widmayer [ps.gz][pdf][djvu][bibtex] At the Edge of Chaos: Real-time Computations and Self-Organized Criticality in Recurrent Neural Networks Nils Bertschinger, Thomas Natschlager, Robert A. Legenstein [ps.gz][pdf][djvu][bibtex] Breaking SVM Complexity with Cross-Training Gokhan H. Bakir, Leon Bottou, Jason Weston [ps.gz][pdf][djvu][bibtex] Generalization Error Bounds for Collaborative Prediction with Low-Rank Matrices Nathan Srebro, Noga Alon, Tommi S. Jaakkola [ps.gz][pdf][djvu][bibtex] Co-Training and Expansion: Towards Bridging Theory and Practice Maria-Florina Balcan, Avrim Blum, Ke Yang [ps.gz][pdf][djvu][bibtex] Bayesian inference in spiking neurons Sophie Deneve [ps.gz][pdf][djvu][bibtex] Stable adaptive control with online learning Andrew Y. Ng, H. Jin Kim [ps.gz][pdf][djvu][bibtex] New Criteria and a New Algorithm for Learning in Multi-Agent Systems Rob Powers, Yoav Shoham [ps.gz][pdf][djvu][bibtex] Multiple Alignment of Continuous Time Series Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Andrew Emili [ps.gz][pdf][djvu][bibtex] Semi-Markov Conditional Random Fields for Information Extraction Sunita Sarawagi, William W. Cohen [ps.gz][pdf][djvu][bibtex] The power of feature clustering: An application to object detection Shai Avidan, Moshe Butman [ps.gz][pdf][djvu][bibtex] Face Detection --- Efficient and Rank Deficient Wolf Kienzle, Gokhan H. Bakir, Matthias O. Franz, Bernhard Scholkopf [ps.gz][pdf][djvu][bibtex] Active Learning for Anomaly and Rare-Category Detection Dan Pelleg, Andrew W. Moore [ps.gz][pdf][djvu][bibtex] Efficient Kernel Machines Using the Improved Fast Gauss Transform Changjiang Yang, Ramani Duraiswami, Larry Davis [ps.gz][pdf][djvu][bibtex] A Feature Selection Algorithm Based on the Global Minimization of a Generalization Error Bound Dori Peleg, Ron Meir [ps.gz][pdf][djvu][bibtex] Methods Towards Invasive Human Brain Computer Interfaces Thomas Navin Lal, Thilo Hinterberger, Guido Widman, Michael Schroder, N. Jeremy Hill, Wolfgang Rosenstiel, Christian E. Elger, Bernhard Scholkopf, Niels Birbaumer [ps.gz][pdf][djvu][bibtex] Kernel Methods for Implicit Surface Modeling Bernhard Scholkopf, Joachim Giesen, Simon Spalinger [ps.gz][pdf][djvu][bibtex] Variational Minimax Estimation of Discrete Distributions under KL Loss Liam Paninski [ps.gz][pdf][djvu][bibtex] Boosting on Manifolds: Adaptive Regularization of Base Classifiers Balazs Kegl, Ligen Wang [ps.gz][pdf][djvu][bibtex] Newscast EM Wojtek Kowalczyk, Nikos Vlassis [ps.gz][pdf][djvu][bibtex] Discrete profile alignment via constrained information bottleneck Sean ORourke, Gal Chechik, Robin Friedman, Eleazar Eskin [ps.gz][pdf][djvu][bibtex] Supervised Graph Inference Jean-Philippe Vert, Yoshihiro Yamanishi [ps.gz][pdf][djvu][bibtex] Using Random Forests in the Structured Language Model Peng Xu, Frederick Jelinek [ps.gz][pdf][djvu][bibtex] Instance-Specific Bayesian Model Averaging for Classification Shyam Visweswaran, Gregory F. Cooper [ps.gz][pdf][djvu][bibtex] A Three Tiered Approach for Articulated Object Action Modeling and Recognition Le Lu, Gregory D. Hager, Laurent Younes [ps.gz][pdf][djvu][bibtex] Instance-Based Relevance Feedback for Image Retrieval Giorgio Giacinto, Fabio Roli [ps.gz][pdf][djvu][bibtex] An Auditory Paradigm for Brain-Computer Interfaces N. Jeremy Hill, Thomas Navin Lal, Karin Bierig, Niels Birbaumer, Bernhard Scholkopf [ps.gz][pdf][djvu][bibtex] Hierarchical Distributed Representations for Statistical Language Modeling John Blitzer, Kilian Weinberger, Lawrence Saul, Fernando Pereira [ps.gz][pdf][djvu][bibtex] A Harmonic Excitation State-Space Approach to Blind Separation of Speech Rasmus Kongsgaard Olsson, Lars Kai Hansen [ps.gz][pdf][djvu][bibtex] Mass Meta-analysis in Talairach Space Finn AArup Nielsen [ps.gz][pdf][djvu][bibtex] Parametric Embedding for Class Visualization Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum [ps.gz][pdf][djvu][bibtex] Analysis of a greedy active learning strategy Sanjoy Dasgupta [ps.gz][pdf][djvu][bibtex] Optimal Information Decoding from Neuronal Populations with Specific Stimulus Selectivity Marcelo A. Montemurro, Stefano Panzeri [ps.gz][pdf][djvu][bibtex] Semi-supervised Learning by Entropy Minimization Yves Grandvalet, Yoshua Bengio [ps.gz][pdf][djvu][bibtex] Probabilistic Inference of Alternative Splicing Events in Microarray Data Ofer Shai, Brendan J. Frey, Quaid D. Morris, Qun Pan, Christine Misquitta, Benjamin J. Blencowe [ps.gz][pdf][djvu][bibtex] On-Chip Compensation of Device-Mismatch Effects in Analog VLSI Neural Networks Miguel Figueroa, Seth Bridges, Chris Diorio [ps.gz][pdf][djvu][bibtex] Conditional Models of Identity Uncertainty with Application to Noun Coreference Andrew McCallum, Ben Wellner [ps.gz][pdf][djvu][bibtex] Economic Properties of Social Networks Sham M. Kakade, Michael Kearns, Luis E. Ortiz, Robin Pemantle, Siddharth Suri [ps.gz][pdf][djvu][bibtex] On the Adaptive Properties of Decision Trees Clayton Scott, Robert Nowak [ps.gz][pdf][djvu][bibtex] Maximising Sensitivity in a Spiking Network Anthony J. Bell, Lucas C. Parra [ps.gz][pdf][djvu][bibtex] Pictorial Structures for Molecular Modeling: Interpreting Density Maps Frank DiMaio, Jude Shavlik, George Phillips [ps.gz][pdf][djvu][bibtex] Semi-supervised Learning on Directed Graphs Dengyong Zhou, Bernhard Scholkopf, Thomas Hofmann [ps.gz][pdf][djvu][bibtex] Common-Frame Model for Object Recognition Pierre Moreels, Pietro Perona [ps.gz][pdf][djvu][bibtex] Matrix Exponential Gradient Updates for On-line Learning and Bregman Projection Koji Tsuda, Gunnar Ratsch, Manfred Warmuth [ps.gz][pdf][djvu][bibtex] Making Latin Manuscripts Searchable using gHMMs Jaety Edwards, Yee Whye Teh, David Forsyth, Roger Bock, Michael Maire, Grace Vesom [ps.gz][pdf][djvu][bibtex] Hierarchical Eigensolver for Transition Matrices in Spectral Methods Chakra Chennubhotla, Allan Jepson [ps.gz][pdf][djvu][bibtex] Incremental Learning for Visual Tracking Jongwoo Lim, David A. Ross, Ruei-Sung Lin, Ming-Hsuan Yang [ps.gz][pdf][djvu][bibtex] Self-Tuning Spectral Clustering Lihi Zelnik-Manor, Pietro Perona [ps.gz][pdf][djvu][bibtex] Adaptive Discriminative Generative Model and Its Applications Ruei-Sung Lin, David A. Ross, Jongwoo Lim, Ming-Hsuan Yang [ps.gz][pdf][djvu][bibtex] The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid Surfaces Dragomir Anguelov, Praveen Srinivasan, Hoi-Cheung Pang, Daphne Koller, Sebastian Thrun, James Davis [ps.gz][pdf][djvu][bibtex] Validity Estimates for Loopy Belief Propagation on Binary Real-world Networks Joris M. Mooij, Hilbert J. Kappen [ps.gz][pdf][djvu][bibtex] The Entire Regularization Path for the Support Vector Machine Trevor Hastie, Saharon Rosset, Robert Tibshirani, Ji Zhu [ps.gz][pdf][djvu][bibtex] Semigroup Kernels on Finite Sets Marco Cuturi, Jean-Philippe Vert [ps.gz][pdf][djvu][bibtex] Maximum-Margin Matrix Factorization Nathan Srebro, Jason D. M. Rennie, Tommi S. Jaakkola [ps.gz][pdf][djvu][bibtex] Synergies between Intrinsic and Synaptic Plasticity in Individual Model Neurons Jochen Triesch [ps.gz][pdf][djvu][bibtex] Responding to Modalities with Different Latencies Fredrik Bissmarck, Hiroyuki Nakahara, Kenji Doya, Okihide Hikosaka [ps.gz][pdf][djvu][bibtex] Modeling Conversational Dynamics as a Mixed-Memory Markov Process Tanzeem Choudhury, Sumit Basu [ps.gz][pdf][djvu][bibtex] A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning Saharon Rosset, Ji Zhu, Hui Zou, Trevor Hastie [ps.gz][pdf][djvu][bibtex] Whos In the Picture Tamara L. Berg, Alexander C. Berg, Jaety Edwards, David Forsyth [ps.gz][pdf][djvu][bibtex] Assignment of Multiplicative Mixtures in Natural Images Odelia Schwartz, Terrence J. Sejnowski, Peter Dayan [ps.gz][pdf][djvu][bibtex] Synergistic Face Detection and Pose Estimation with Energy-Based Models Margarita Osadchy, Matthew L. Miller, Yann LeCun [ps.gz][pdf][djvu][bibtex] Adaptive Manifold Learning Jing Wang, Zhenyue Zhang, Hongyuan Zha [ps.gz][pdf][djvu][bibtex] Similarity and Discrimination in Classical Conditioning: A Latent Variable Account Aaron C. Courville, Nathaniel D. Daw, David S. Touretzky [ps.gz][pdf][djvu][bibtex] Hierarchical Bayesian Inference in Networks of Spiking Neurons Rajesh P. N. Rao [ps.gz][pdf][djvu][bibtex] Inference, Attention, and Decision in a Bayesian Neural Architecture Angela J. Yu, Peter Dayan [ps.gz][pdf][djvu][bibtex] Exponentiated Gradient Algorithms for Large-margin Structured Classification Peter L. Bartlett, Michael Collins, Ben Taskar, David McAllester [ps.gz][pdf][djvu][bibtex] Coarticulation in Markov Decision Processes Khashayar Rohanimanesh, Robert Platt, Sridhar Mahadevan, Roderic Grupen [ps.gz][pdf][djvu][bibtex] Blind One-microphone Speech Separation: A Spectral Learning Approach Francis R. Bach, Michael I. Jordan [ps.gz][pdf][djvu][bibtex] Euclidean Embedding of Co-Occurrence Data Amir Globerson, Gal Chechik, Fernando Pereira, Naftali Tishby [ps.gz][pdf][djvu][bibtex] Schema Learning: Experience-Based Construction of Predictive Action Models Michael P. Holmes, Charles Lee Isbell, Jr. [ps.gz][pdf][djvu][bibtex] Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aihara, Wulfram Gerstner [ps.gz][pdf][djvu][bibtex] Learning, Regularization and Ill-Posed Inverse Problems Lorenzo Rosasco, Andrea Caponnetto, Ernesto De Vito, Francesca Odone, Umberto De Giovannini [ps.gz][pdf][djvu][bibtex] Integrating Topics and Syntax Thomas L. Griffiths, Mark Steyvers, David M. Blei, Joshua B. Tenenbaum [ps.gz][pdf][djvu][bibtex] A Direct Formulation for Sparse PCA Using Semidefinite Programming Alexandre dAspremont, Laurent El Ghaoui, Michael I. Jordan, Gert R.G. Lanckriet [ps.gz][pdf][djvu][bibtex] Saliency-Driven Image Acuity Modulation on a Reconfigurable Array of Spiking Silicon Neurons R. Jacob Vogelstein, Udayan Mallik, Eugenio Culurciello, Gert Cauwenberghs, Ralph Etienne-Cummings [ps.gz][pdf][djvu][bibtex] Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution Hyun Jin Park, Te Won Lee [ps.gz][pdf][djvu][bibtex] Brain Inspired Reinforcement Learning Franccois Rivest, Yoshua Bengio, John Kalaska [ps.gz][pdf][djvu][bibtex] Optimal sub-graphical models Mukund Narasimhan, Jeff A. Bilmes [ps.gz][pdf][djvu][bibtex] Bayesian Regularization and Nonnegative Deconvolution for Time Delay Estimation Yuanqing Lin, Daniel D. Lee [ps.gz][pdf][djvu][bibtex] Solitaire: Man Versus Machine Xiang Yan, Persi Diaconis, Paat Rusmevichientong, Benjamin Van Roy [ps.gz][pdf][djvu][bibtex] Dynamic Bayesian Networks for Brain-Computer Interfaces Pradeep Shenoy, Rajesh P. N. Rao [ps.gz][pdf][djvu][bibtex] Kernel Projection Machine: a New Tool for Pattern Recognition Laurent Zwald, Regis Vert, Gilles Blanchard, Pascal Massart [ps.gz][pdf][djvu][bibtex] Rate- and Phase-coded Autoassociative Memory Mate Lengyel, Peter Dayan [ps.gz][pdf][djvu][bibtex] VDCBPI: an Approximate Scalable Algorithm for Large POMDPs Pascal Poupart, Craig Boutilier [ps.gz][pdf][djvu][bibtex] A Cost-Shaping LP for Bellman Error Minimization with Performance Guarantees Daniela de Farias, Benjamin Van Roy [ps.gz][pdf][djvu][bibtex] Approximately Efficient Online Mechanism Design David C. Parkes, Satinder Singh, Dimah Yanovsky [ps.gz][pdf][djvu][bibtex] A Large Deviation Bound for the Area Under the ROC Curve Shivani Agarwal, Thore Graepel, Ralf Herbrich, Dan Roth [ps.gz][pdf][djvu][bibtex] Non-Local Manifold Tangent Learning Yoshua Bengio, Martin Monperrus [ps.gz][pdf][djvu][bibtex] Sub-Microwatt Analog VLSI Support Vector Machine for Pattern Classification and Sequence Estimation Shantanu Chakrabartty, Gert Cauwenberghs [ps.gz][pdf][djvu][bibtex] Contextual Models for Object Detection Using Boosted Random Fields Antonio Torralba, Kevin P. Murphy, William T. Freeman [ps.gz][pdf][djvu][bibtex] Expectation Consistent Free Energies for Approximate Inference Manfred Opper, Ole Winther [ps.gz][pdf][djvu][bibtex] Chemosensory Processing in a Spiking Model of the Olfactory Bulb: Chemotopic Convergence and Center Surround Inhibition Baranidharan Raman, Ricardo Gutierrez-Osuna [ps.gz][pdf][djvu][bibtex] Joint Probabilistic Curve Clustering and Alignment Scott J. Gaffney, Padhraic Smyth [ps.gz][pdf][djvu][bibtex] Probabilistic Computation in Spiking Populations Richard S. Zemel, Quentin J. M. Huys, Rama Natarajan, Peter Dayan [ps.gz][pdf][djvu][bibtex] Beat Tracking the Graphical Model Way Dustin Lang, Nando de Freitas [ps.gz][pdf][djvu][bibtex] Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance Imaging Vladimir Koltchinskii, Manel Martinez-Ramon, Stefan Posse [ps.gz][pdf][djvu][bibtex] Intrinsically Motivated Reinforcement Learning Satinder Singh, Andrew G. Barto, Nuttapong Chentanez [ps.gz][pdf][djvu][bibtex] Exponential Family Harmoniums with an Application to Information Retrieval Max Welling, Michal Rosen-Zvi, Geoffrey Hinton [ps.gz][pdf][djvu][bibtex] Markov Networks for Detecting Overalpping Elements in Sequence Data Jospeh Bockhorst, Mark Craven [ps.gz][pdf][djvu][bibtex] Modelling Uncertainty in the Game of Go David H. Stern, Thore Graepel, David J. C. MacKay [ps.gz][pdf][djvu][bibtex] Sparse Coding of Natural Images Using an Overcomplete Set of Limited Capacity Units Eizaburo Doi, Michael S. Lewicki [ps.gz][pdf][djvu][bibtex] Joint MRI Bias Removal Using Entropy Minimization Across Images Erik G. Learned-Miller, Parvez Ahammad [ps.gz][pdf][djvu][bibtex] Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, David M. Blei [ps.gz][pdf][djvu][bibtex] Learning Gaussian Process Kernels via Hierarchical Bayes Anton Schwaighofer, Volker Tresp, Kai Yu [ps.gz][pdf][djvu][bibtex] Triangle Fixing Algorithms for the Metric Nearness Problem Inderjit Dhillon, Suvrit Sra, Joel Tropp [ps.gz][pdf][djvu][bibtex] Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification Algorithms Omid Madani, David M. Pennock, Gary W. Flake [ps.gz][pdf][djvu][bibtex] Theories of Access Consciousness Michael D. Colagrosso, Michael C. Mozer [ps.gz][pdf][djvu][bibtex] Computing regularization paths for learning multiple kernels Francis R. Bach, Romain Thibaux, Michael I. Jordan [ps.gz][pdf][djvu][bibtex] Experts in a Markov Decision Process Eyal Even-Dar, Sham M. Kakade, Yishay Mansour [ps.gz][pdf][djvu][bibtex] Proximity Graphs for Clustering and Manifold Learning Miguel A. Carreira-Perpinan, Richard S. Zemel [ps.gz][pdf][djvu][bibtex] Machine Learning Applied to Perception: Decision Images for Gender Classification Felix A. Wichmann, Arnulf B.A. Graf, Eero Simoncelli, Heinrich H. Bulthoff, Bernhard Scholkopf [ps.gz][pdf][djvu][bibtex] Theory of localized synfire chain: characteristic propagation speed of stable spike pattern Kosuke Hamaguchi, Masato Okada, Kazuyuki Aihara [ps.gz][pdf][djvu][bibtex] Comparing Beliefs, Surveys, and Random Walks Erik Aurell, Uri Gordon, Scott Kirkpatrick [ps.gz][pdf][djvu][bibtex] Kernels for Multi--task Learning Charles A. Micchelli, Massimiliano Pontil [ps.gz][pdf][djvu][bibtex] Conditional Random Fields for Object Recognition Ariadna Quattoni, Michael Collins, Trevor Darrell [ps.gz][pdf][djvu][bibtex] Multi-agent Cooperation in Diverse Population Games K. Y. Michael Wong, S. W. Lim, Z. Gao [ps.gz][pdf][djvu][bibtex] L_0-norm Minimization for Basis Selection David P. Wipf, Bhaskar D. Rao [ps.gz][pdf][djvu][bibtex] Online Bounds for Bayesian Algorithms Sham M. Kakade, Andrew Y. Ng [ps.gz][pdf][djvu][bibtex] Nearly Tight Bounds for the Continuum-Armed Bandit Problem Robert D. Kleinberg [ps.gz][pdf][djvu][bibtex] Learning Efficient Auditory Codes Using Spikes Predicts Cochlear Filters Evan C. Smith, Michael S. Lewicki [ps.gz][pdf][djvu][bibtex] Maximum Margin Clustering Linli Xu, James Neufeld, Bryce Larson, Dale Schuurmans [ps.gz][pdf][djvu][bibtex] Multiple Relational Embedding Roland Memisevic, Geoffrey Hinton [ps.gz][pdf][djvu][bibtex] Binet-Cauchy Kernels S.V.N. Vishwanathan, Alex Smola [ps.gz][pdf][djvu][bibtex] Temporal-Difference Networks Richard S. Sutton, Brian Tanner [ps.gz][pdf][djvu][bibtex] Using Machine Learning to Break Visual Human Interaction Proofs (HIPs) Kumar Chellapilla, Patrice Y. Simard [ps.gz][pdf][djvu][bibtex] Constraining a Bayesian Model of Human Visual Speed Perception Alan Stocker, Eero Simoncelli [ps.gz][pdf][djvu][bibtex] A Machine Learning Approach to Conjoint Analysis Olivier Chapelle, Zaid Harchaoui [ps.gz][pdf][djvu][bibtex] Distributed Information Regularization on Graphs Adrian Corduneanu, Tommi S. Jaakkola [ps.gz][pdf][djvu][bibtex] Identifying Protein-Protein Interaction Sites on a Genome-Wide Scale Haidong Wang, Eran Segal, Asa Ben-Hur, Daphne Koller, Douglas L. Brutlag [ps.gz][pdf][djvu][bibtex] Joint Tracking of Pose, Expression, and Texture using Conditionally Gaussian Filters Tim K. Marks, John Hershey, J. Cooper Roddey, Javier R. Movellan [ps.gz][pdf][djvu][bibtex] Semi-supervised Learning with Penalized Probabilistic Clustering Zhengdong Lu, Todd Leen [ps.gz][pdf][djvu][bibtex] An Information Maximization Model of Eye Movements Laura Walker Renninger, James M. Coughlan, Preeti Verghese, Jitendra Malik [ps.gz][pdf][djvu][bibtex] Planning for Markov Decision Processes with Sparse Stochasticity Maxim Likhachev, Geoff Gordon, Sebastian Thrun [ps.gz][pdf][djvu][bibtex] Generalization Error and Algorithmic Convergence of Median Boosting Balazs Kegl [ps.gz][pdf][djvu][bibtex] Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation Erik B. Sudderth, Michael I. Mandel, William T. Freeman, Alan S. Willsky [ps.gz][pdf][djvu][bibtex] Learning Syntactic Patterns for Automatic Hypernym Discovery Rion Snow, Daniel Jurafsky, Andrew Y. Ng [ps.gz][pdf][djvu][bibtex] Learning first-order Markov models for control Pieter Abbeel, Andrew Y. Ng [ps.gz][pdf][djvu][bibtex] |