Table of Contents

• Synergistic Face Detection and Pose Estimation with Energy-Based ModelsMargarita Osadchy, Matthew L. Miller, Yann LeCun. [doi]
• Generalization Error and Algorithmic Convergence of Median BoostingBalázs Kégl. [doi]
• Density Level Detection is ClassificationIngo Steinwart, Don R. Hush, Clint Scovel. [doi]
• Newscast EMWojtek Kowalczyk, Nikos A. Vlassis. [doi]
• Experts in a Markov Decision ProcessEyal Even-Dar, Sham M. Kakade, Yishay Mansour. [doi]
• Hierarchical Clustering of a Mixture ModelJacob Goldberger, Sam T. Roweis. [doi]
• Intrinsically Motivated Reinforcement LearningSatinder P. Singh, Andrew G. Barto, Nuttapong Chentanez. [doi]
• Optimal sub-graphical modelsMukund Narasimhan, Jeff A. Bilmes. [doi]
• Adaptive Discriminative Generative Model and Its ApplicationsRuei-Sung Lin, David A. Ross, Jongwoo Lim, Ming-Hsuan Yang. [doi]
• Analysis of a greedy active learning strategySanjoy Dasgupta. [doi]
• Saliency-Driven Image Acuity Modulation on a Reconfigurable Array of Spiking Silicon NeuronsR. Jacob Vogelstein, Udayan Mallik, Eugenio Culurciello, Gert Cauwenberghs, Ralph Etienne-Cummings. [doi]
• Two-Dimensional Linear Discriminant AnalysisJieping Ye, Ravi Janardan, Qi Li. [doi]
• Incremental Learning for Visual TrackingJongwoo Lim, David A. Ross, Ruei-Sung Lin, Ming-Hsuan Yang. [doi]
• Neural Network Computation by In Vitro Transcriptional CircuitsJongmin Kim, John J. Hopfield, Erik Winfree. [doi]
• Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification AlgorithmsOmid Madani, David M. Pennock, Gary William Flake. [doi]
• Learning Hyper-Features for Visual IdentificationAndras Ferencz, Erik G. Learned-Miller, Jitendra Malik. [doi]
• The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid SurfacesDragomir Anguelov, Praveen Srinivasan, Hoi-Cheung Pang, Daphne Koller, Sebastian Thrun, James Davis. [doi]
• Worst-Case Analysis of Selective Sampling for Linear-Threshold AlgorithmsNicolò Cesa-Bianchi, Claudio Gentile, Luca Zaniboni. [doi]
• An Investigation of Practical Approximate Nearest Neighbor AlgorithmsTing Liu, Andrew W. Moore, Alexander G. Gray, Ke Yang. [doi]
• Pictorial Structures for Molecular Modeling: Interpreting Density MapsFrank DiMaio, Jude W. Shavlik, George N. Phillips. [doi]
• Maximum Margin ClusteringLinli Xu, James Neufeld, Bryce Larson, Dale Schuurmans. [doi]
• Probabilistic Computation in Spiking PopulationsRichard S. Zemel, Quentin J. M. Huys, Rama Natarajan, Peter Dayan. [doi]
• Learning Syntactic Patterns for Automatic Hypernym DiscoveryRion Snow, Daniel Jurafsky, Andrew Y. Ng. [doi]
• Inference, Attention, and Decision in a Bayesian Neural ArchitectureAngela J. Yu, Peter Dayan. [doi]
• Seeing through waterAlexei A. Efros, Volkan Isler, Jianbo Shi, Mirkó Visontai. [doi]
• Exponentiated Gradient Algorithms for Large-margin Structured ClassificationPeter L. Bartlett, Michael Collins, Benjamin Taskar, David A. McAllester. [doi]
• A Three Tiered Approach for Articulated Object Action Modeling and RecognitionLe Lu, Gregory D. Hager, Laurent Younes. [doi]
• A Hidden Markov Model for de Novo Peptide SequencingBernd Fischer, Volker Roth, Joachim M. Buhmann, Jonas Grossmann, Sacha Baginsky, Wilhelm Gruissem, Franz F. Roos, Peter Widmayer. [doi]
• Hierarchical Bayesian Inference in Networks of Spiking NeuronsRajesh P. N. Rao. [doi]
• Blind One-microphone Speech Separation: A Spectral Learning ApproachFrancis R. Bach, Michael I. Jordan. [doi]
• The Variational Ising Classifier (VIC) Algorithm for Coherently Contaminated DataOliver M. C. Williams, Andrew Blake, Roberto Cipolla. [doi]
• Using Machine Learning to Break Visual Human Interaction Proofs (HIPs)Kumar Chellapilla, Patrice Y. Simard. [doi]
• Adaptive Manifold LearningJing Wang, Zhenyue Zhang, Hongyuan Zha. [doi]
• Joint Probabilistic Curve Clustering and AlignmentScott Gaffney, Padhraic Smyth. [doi]
• Methods for Estimating the Computational Power and Generalization Capability of Neural MicrocircuitsWolfgang Maass, Robert A. Legenstein, Nils Bertschinger. [doi]
• Optimal Information Decoding from Neuronal Populations with Specific Stimulus SelectivityMarcelo A. Montemurro, Stefano Panzeri. [doi]
• Discriminant Saliency for Visual Recognition from Cluttered ScenesDashan Gao, Nuno Vasconcelos. [doi]
• Semi-supervised Learning on Directed GraphsDengyong Zhou, Bernhard Schölkopf, Thomas Hofmann. [doi]
• Nearly Tight Bounds for the Continuum-Armed Bandit ProblemRobert D. Kleinberg. [doi]
• Multi-agent Cooperation in Diverse Population GamesK. Y. Michael Wong, S. W. Lim, Zhuo Gao. [doi]
• Theory of localized synfire chain: characteristic propagation speed of stable spike patternKosuke Hamaguchi, Masato Okada, Kazuyuki Aihara. [doi]
• Hierarchical Eigensolver for Transition Matrices in Spectral MethodsChakra Chennubhotla, Allan D. Jepson. [doi]
• At the Edge of Chaos: Real-time Computations and Self-Organized Criticality in Recurrent Neural NetworksNils Bertschinger, Thomas Natschläger, Robert A. Legenstein. [doi]
• Harmonising Chorales by Probabilistic InferenceMoray Allan, Christopher K. I. Williams. [doi]
• Stable adaptive control with online learningAndrew Y. Ng, H. Jin Kim. [doi]
• An Auditory Paradigm for Brain-Computer InterfacesN. Jeremy Hill, Thomas Navin Lal, Karin Bierig, Niels Birbaumer, Bernhard Schölkopf. [doi]
• Following Curved Regularized Optimization Solution PathsSaharon Rosset. [doi]
• Online Bounds for Bayesian AlgorithmsSham M. Kakade, Andrew Y. Ng. [doi]
• Coarticulation in Markov Decision ProcessesKhashayar Rohanimanesh, Robert Platt Jr., Sridhar Mahadevan, Roderic A. Grupen. [doi]
• Log-concavity Results on Gaussian Process Methods for Supervised and Unsupervised LearningLiam Paninski. [doi]
• Temporal-Difference NetworksRichard S. Sutton, Brian Tanner. [doi]
• Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian DistributionHyun-Jin Park, Te-Won Lee. [doi]
• Machine Learning Applied to Perception: Decision Images for Gender ClassificationFelix A. Wichmann, Arnulf B. A. Graf, Eero P. Simoncelli, Heinrich H. Bülthoff, Bernhard Schölkopf. [doi]
• Surface Reconstruction using Learned Shape ModelsJan Erik Solem, Fredrik Kahl. [doi]
• Trait Selection for Assessing Beef Meat Quality Using Non-linear SVMJuan José del Coz, Gustavo F. Bayón, Jorge Díez, Oscar Luaces, Antonio Bahamonde, Carlos Sañudo. [doi]
• Using Random Forests in the Structured Language ModelPeng Xu, Frederick Jelinek. [doi]
• Euclidean Embedding of Co-Occurrence DataAmir Globerson, Gal Chechik, Fernando C. Pereira, Naftali Tishby. [doi]
• Limits of Spectral ClusteringUlrike von Luxburg, Olivier Bousquet, Mikhail Belkin. [doi]
• Learning first-order Markov models for controlPieter Abbeel, Andrew Y. Ng. [doi]
• An Information Maximization Model of Eye MovementsLaura Walker Renninger, James M. Coughlan, Preeti Verghese, Jitendra Malik. [doi]
• Mass Meta-analysis in Talairach SpaceFinn Årup Nielsen. [doi]
• Sharing Clusters among Related Groups: Hierarchical Dirichlet ProcessesYee Whye Teh, Michael I. Jordan, Matthew J. Beal, David M. Blei. [doi]
• Parametric Embedding for Class VisualizationTomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum. [doi]
• Linear Multilayer Independent Component Analysis for Large Natural ScenesYoshitatsu Matsuda, Kazunori Yamaguchi. [doi]
• Kernels for Multi--task LearningCharles A. Micchelli, Massimiliano Pontil. [doi]
• A Large Deviation Bound for the Area Under the ROC CurveShivani Agarwal, Thore Graepel, Ralf Herbrich, Dan Roth. [doi]
• Sparse Coding of Natural Images Using an Overcomplete Set of Limited Capacity UnitsEizaburo Doi, Michael S. Lewicki. [doi]
• Resolving Perceptual Aliasing In The Presence Of Noisy SensorsGuy Shani, Ronen I. Brafman. [doi]
• A Feature Selection Algorithm Based on the Global Minimization of a Generalization Error BoundDori Peleg, Ron Meir. [doi]
• Sampling Methods for Unsupervised LearningRobert Fergus, Andrew Zisserman, Pietro Perona. [doi]
• Convergence and No-Regret in Multiagent LearningMichael H. Bowling. [doi]
• Whos In the PictureTamara L. Berg, Alexander C. Berg, Jaety Edwards, David A. Forsyth. [doi]
• Exponential Family Harmoniums with an Application to Information RetrievalMax Welling, Michal Rosen-Zvi, Geoffrey E. Hinton. [doi]
• Probabilistic Inference of Alternative Splicing Events in Microarray DataOfer Shai, Brendan J. Frey, Quaid Morris, Qun Pan, Christine Misquitta, Benjamin J. Blencowe. [doi]
• Boosting on Manifolds: Adaptive Regularization of Base ClassifiersBalázs Kégl, Ligen Wang. [doi]
• Joint Tracking of Pose, Expression, and Texture using Conditionally Gaussian FiltersTim K. Marks, John Hershey, J. Cooper Roddey, Javier R. Movellan. [doi]
• Identifying Protein-Protein Interaction Sites on a Genome-Wide ScaleHaidong Wang, Eran Segal, Asa Ben-Hur, Daphne Koller, Douglas L. Brutlag. [doi]
• A Harmonic Excitation State-Space Approach to Blind Separation of SpeechRasmus Kongsgaard Olsson, Lars Kai Hansen. [doi]
• Discrete profile alignment via constrained information bottleneckSean O Rourke, Gal Chechik, Robin Friedman, Eleazar Eskin. [doi]
• Theories of Access ConsciousnessMichael D. Colagrosso, Michael C. Mozer. [doi]
• A Method for Inferring Label Sampling Mechanisms in Semi-Supervised LearningSaharon Rosset, Ji Zhu, Hui Zou, Trevor Hastie. [doi]
• Class-size Independent Generalization Analsysis of Some Discriminative Multi-Category ClassificationTong Zhang. [doi]
• Common-Frame Model for Object RecognitionPierre Moreels, Pietro Perona. [doi]
• Dependent Gaussian ProcessesPhillip Boyle, Marcus R. Frean. [doi]
• Comparing Beliefs, Surveys, and Random WalksErik Aurell, Uri Gordon, Scott Kirkpatrick. [doi]
• Constraining a Bayesian Model of Human Visual Speed PerceptionAlan Stocker, Eero P. Simoncelli. [doi]
• Bayesian Regularization and Nonnegative Deconvolution for Time Delay EstimationYuanqing Lin, Daniel D. Lee. [doi]
• Brain Inspired Reinforcement LearningFrançois Rivest, Yoshua Bengio, John Kalaska. [doi]
• Maximum Likelihood Estimation of Intrinsic DimensionElizaveta Levina, Peter J. Bickel. [doi]
• Large-Scale Prediction of Disulphide Bond ConnectivityPierre Baldi, Jianlin Cheng, Alessandro Vullo. [doi]
• Modeling Conversational Dynamics as a Mixed-Memory Markov ProcessTanzeem Choudhury, Sumit Basu. [doi]
• Face Detection - Efficient and Rank DeficientWolf Kienzle, Gökhan H. Bakir, Matthias O. Franz, Bernhard Schölkopf. [doi]
• Nonparametric Transforms of Graph Kernels for Semi-Supervised LearningXiaojin Zhu, Jaz S. Kandola, Zoubin Ghahramani, John D. Lafferty. [doi]
• Efficient Kernel Discriminant Analysis via QR DecompositionTao Xiong, Jieping Ye, Qi Li, Ravi Janardan, Vladimir Cherkassky. [doi]
• Generalization Error Bounds for Collaborative Prediction with Low-Rank MatricesNathan Srebro, Noga Alon, Tommi Jaakkola. [doi]
• Nonlinear Blind Source Separation by Integrating Independent Component Analysis and Slow Feature AnalysisTobias Blaschke, Laurenz Wiskott. [doi]
• Non-Local Manifold Tangent LearningYoshua Bengio, Martin Monperrus. [doi]
• Detecting Significant Multidimensional Spatial ClustersDaniel B. Neill, Andrew W. Moore, Francisco Pereira, Tom M. Mitchell. [doi]
• Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance ImagingVladimir Koltchinskii, Manel Martínez-Ramón, Stefan Posse. [doi]
• Sub-Microwatt Analog VLSI Support Vector Machine for Pattern Classification and Sequence EstimationShantanu Chakrabartty, Gert Cauwenberghs. [doi]
• A Cost-Shaping LP for Bellman Error Minimization with Performance GuaranteesDaniela Pucci de Farias, Benjamin Van Roy. [doi]
• Supervised Graph InferenceJean-Philippe Vert, Yoshihiro Yamanishi. [doi]
• An Application of Boosting to Graph ClassificationTaku Kudo, Eisaku Maeda, Yuji Matsumoto. [doi]
• Contextual Models for Object Detection Using Boosted Random FieldsAntonio B. Torralba, Kevin P. Murphy, William T. Freeman. [doi]
• Heuristics for Ordering Cue Search in Decision MakingPeter M. Todd, Anja Dieckmann. [doi]
• Responding to Modalities with Different LatenciesFredrik Bissmarck, Hiroyuki Nakahara, Kenji Doya, Okihide Hikosaka. [doi]
• PAC-Bayes Learning of Conjunctions and Classification of Gene-Expression DataMario Marchand, Mohak Shah. [doi]
• A Probabilistic Model for Online Document Clustering with Application to Novelty DetectionJian Zhang, Zoubin Ghahramani, Yiming Yang. [doi]
• Generative Affine Localisation and TrackingJohn M. Winn, Andrew Blake. [doi]
• Algebraic Set Kernels with Application to Inference Over Local Image RepresentationsAmnon Shashua, Tamir Hazan. [doi]
• Mistake Bounds for Maximum Entropy DiscriminationPhilip M. Long, Xinyu Wu. [doi]
• Breaking SVM Complexity with Cross-TrainingGökhan H. Bakir, Léon Bottou, Jason Weston. [doi]
• Neighbourhood Components AnalysisJacob Goldberger, Sam T. Roweis, Geoffrey E. Hinton, Ruslan Salakhutdinov. [doi]
• The power of feature clustering: An application to object detectionShai Avidan, Moshe Butman. [doi]
• Multiple Alignment of Continuous Time SeriesJennifer Listgarten, Radford M. Neal, Sam T. Roweis, Andrew Emili. [doi]
• On the Adaptive Properties of Decision TreesClayton Scott, Robert Nowak. [doi]
• Kernel Projection Machine: a New Tool for Pattern RecognitionLaurent Zwald, Régis Vert, Gilles Blanchard, Pascal Massart. [doi]
• Synergies between Intrinsic and Synaptic Plasticity in Individual Model NeuronsJochen Triesch. [doi]
• Triangle Fixing Algorithms for the Metric Nearness ProblemInderjit S. Dhillon, Suvrit Sra, Joel A. Tropp. [doi]
• Rate- and Phase-coded Autoassociative MemoryMáté Lengyel, Peter Dayan. [doi]
• Hierarchical Distributed Representations for Statistical Language ModelingJohn Blitzer, Kilian Q. Weinberger, Lawrence K. Saul, Fernando Pereira. [doi]
• Solitaire: Man Versus MachineXiang Yan, Persi Diaconis, Paat Rusmevichientong, Benjamin Van Roy. [doi]
• Planning for Markov Decision Processes with Sparse StochasticityMaxim Likhachev, Geoffrey J. Gordon, Sebastian Thrun. [doi]
• Semi-Markov Conditional Random Fields for Information ExtractionSunita Sarawagi, William W. Cohen. [doi]
• Bayesian inference in spiking neuronsSophie Deneve. [doi]
• Chemosensory Processing in a Spiking Model of the Olfactory Bulb: Chemotopic Convergence and Center Surround InhibitionBaranidharan Raman, Ricardo Gutierrez-Osuna. [doi]
• L_0-norm Minimization for Basis SelectionDavid P. Wipf, Bhaskar D. Rao. [doi]
• The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature SpaceRobert Jenssen, Deniz Erdogmus, José Carlos Príncipe, Torbjørn Eltoft. [doi]
• Efficient Out-of-Sample Extension of Dominant-Set ClustersMassimiliano Pavan, Marcello Pelillo. [doi]
• A Machine Learning Approach to Conjoint AnalysisOlivier Chapelle, Zaïd Harchaoui. [doi]
• Edge of Chaos Computation in Mixed-Mode VLSI - A Hard LiquidFelix Schürmann, Karlheinz Meier, Johannes Schemmel. [doi]
• Maximum-Margin Matrix FactorizationNathan Srebro, Jason D. M. Rennie, Tommi Jaakkola. [doi]
• Instance-Based Relevance Feedback for Image RetrievalGiorgio Giacinto, Fabio Roli. [doi]
• Semi-supervised Learning with Penalized Probabilistic ClusteringZhengdong Lu, Todd K. Leen. [doi]
• Markov Networks for Detecting Overalpping Elements in Sequence DataJoseph Bockhorst, Mark Craven. [doi]
• Real-Time Pitch Determination of One or More Voices by Nonnegative Matrix FactorizationFei Sha, Lawrence K. Saul. [doi]
• Beat Tracking the Graphical Model WayDustin Lang, Nando de Freitas. [doi]
• Distributed Occlusion Reasoning for Tracking with Nonparametric Belief PropagationErik B. Sudderth, Michael I. Mandel, William T. Freeman, Alan S. Willsky. [doi]
• Object Classification from a Single Example Utilizing Class Relevance MetricsMichael Fink 0002. [doi]
• Economic Properties of Social NetworksSham M. Kakade, Michael J. Kearns, Luis E. Ortiz, Robin Pemantle, Siddharth Suri. [doi]
• A Second Order Cone programming Formulation for Classifying Missing DataChiranjib Bhattacharyya, Pannagadatta K. Shivaswamy, Alex J. Smola. [doi]
• Learning Gaussian Process Kernels via Hierarchical BayesAnton Schwaighofer, Volker Tresp, Kai Yu. [doi]
• Maximal Margin Labeling for Multi-Topic Text CategorizationHideto Kazawa, Tomonori Izumitani, Hirotoshi Taira, Eisaku Maeda. [doi]
• Computing regularization paths for learning multiple kernelsFrancis R. Bach, Romain Thibaux, Michael I. Jordan. [doi]
• Multiple Relational EmbeddingRoland Memisevic, Geoffrey E. Hinton. [doi]
• Kernel Methods for Implicit Surface ModelingBernhard Schölkopf, Joachim Giesen, Simon Spalinger. [doi]
• Conditional Models of Identity Uncertainty with Application to Noun CoreferenceAndrew McCallum, Ben Wellner. [doi]
• Distributed Information Regularization on GraphsAdrian Corduneanu, Tommi Jaakkola. [doi]
• Variational Minimax Estimation of Discrete Distributions under KL LossLiam Paninski. [doi]
• Spike Sorting: Bayesian Clustering of Non-Stationary DataAharon Bar-Hillel, Adam Spiro, Eran Stark. [doi]
• Validity Estimates for Loopy Belief Propagation on Binary Real-world NetworksJoris M. Mooij, Hilbert J. Kappen. [doi]
• The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix TreesOfer Dekel, Shai Shalev-Shwartz, Yoram Singer. [doi]
• Confidence Intervals for the Area Under the ROC CurveCorinna Cortes, Mehryar Mohri. [doi]
• On Semi-Supervised ClassificationBalaji Krishnapuram, David Williams, Ya Xue, Alexander J. Hartemink, Lawrence Carin, Mário A. T. Figueiredo. [doi]
• A Temporal Kernel-Based Model for Tracking Hand Movements from Neural ActivitiesLavi Shpigelman, Koby Crammer, Rony Paz, Eilon Vaadia, Yoram Singer. [doi]
• Incremental Algorithms for Hierarchical ClassificationNicolò Cesa-Bianchi, Claudio Gentile, Andrea Tironi, Luca Zaniboni. [doi]
• Expectation Consistent Free Energies for Approximate InferenceManfred Opper, Ole Winther. [doi]
• Active Learning for Anomaly and Rare-Category DetectionDan Pelleg, Andrew W. Moore. [doi]
• The Rescorla-Wagner Algorithm and Maximum Likelihood Estimation of Causal ParametersAlan L. Yuille. [doi]
• On-Chip Compensation of Device-Mismatch Effects in Analog VLSI Neural NetworksMiguel Figueroa, Seth Bridges, Chris Diorio. [doi]
• Outlier Detection with One-class Kernel Fisher DiscriminantsVolker Roth. [doi]
• The Convergence of Contrastive DivergencesAlan L. Yuille. [doi]
• Semi-supervised Learning via Gaussian ProcessesNeil D. Lawrence, Michael I. Jordan. [doi]
• Dynamic Bayesian Networks for Brain-Computer InterfacesPradeep Shenoy, Rajesh P. N. Rao. [doi]
• Semigroup Kernels on Finite SetsMarco Cuturi, Jean-Philippe Vert. [doi]
• The Entire Regularization Path for the Support Vector MachineTrevor Hastie, Saharon Rosset, Robert Tibshirani, Ji Zhu. [doi]
• Efficient Kernel Machines Using the Improved Fast Gauss TransformChangjiang Yang, Ramani Duraiswami, Larry S. Davis. [doi]
• Approximately Efficient Online Mechanism DesignDavid C. Parkes, Satinder P. Singh, Dimah Yanovsky. [doi]
• Modelling Uncertainty in the Game of GoDavid H. Stern, Thore Graepel, David J. C. MacKay. [doi]
• Semi-supervised Learning by Entropy MinimizationYves Grandvalet, Yoshua Bengio. [doi]
• Reducing Spike Train Variability: A Computational Theory Of Spike-Timing Dependent PlasticitySander M. Bohte, Michael C. Mozer. [doi]
• Message Errors in Belief PropagationAlexander T. Ihler, John W. Fisher III, Alan S. Willsky. [doi]
• Result Analysis of the NIPS 2003 Feature Selection ChallengeIsabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror. [doi]
• Schema Learning: Experience-Based Construction of Predictive Action ModelsMichael P. Holmes, Charles Lee Isbell Jr.. [doi]
• Learning Preferences for Multiclass ProblemsFabio Aiolli, Alessandro Sperduti. [doi]
• A Topographic Support Vector Machine: Classification Using Local Label ConfigurationsJohannes Mohr, Klaus Obermayer. [doi]
• Binet-Cauchy KernelsS. V. N. Vishwanathan, Alex J. Smola. [doi]
• Self-Tuning Spectral ClusteringLihi Zelnik-Manor, Pietro Perona. [doi]
• Learning, Regularization and Ill-Posed Inverse ProblemsLorenzo Rosasco, Andrea Caponnetto, Ernesto De Vito, Francesca Odone, Umberto De Giovannini. [doi]
• Parallel Support Vector Machines: The Cascade SVMHans Peter Graf, Eric Cosatto, Léon Bottou, Igor Durdanovic, Vladimir Vapnik. [doi]
• Support Vector Classification with Input Data UncertaintyJinbo Bi, Tong Zhang. [doi]
• Exploration-Exploitation Tradeoffs for Experts Algorithms in Reactive EnvironmentsDaniela Pucci de Farias, Nimrod Megiddo. [doi]
• Learning Efficient Auditory Codes Using Spikes Predicts Cochlear FiltersEvan C. Smith, Michael S. Lewicki. [doi]
• Co-Training and Expansion: Towards Bridging Theory and PracticeMaria-Florina Balcan, Avrim Blum, Ke Yang. [doi]
• Methods Towards Invasive Human Brain Computer InterfacesThomas Navin Lal, Thilo Hinterberger, Guido Widman, Michael Schröder 0002, N. Jeremy Hill, Wolfgang Rosenstiel, Christian Erich Elger, Bernhard Schölkopf, Niels Birbaumer. [doi]
• Joint MRI Bias Removal Using Entropy Minimization Across ImagesErik G. Learned-Miller, Parvez Ahammad. [doi]
• Instance-Specific Bayesian Model Averaging for ClassificationShyam Visweswaran, Gregory F. Cooper. [doi]
• Conditional Random Fields for Object RecognitionAriadna Quattoni, Michael Collins, Trevor Darrell. [doi]
• Synchronization of neural networks by mutual learning and its application to cryptographyEinat Klein, Rachel Mislovaty, Ido Kanter, Andreas Ruttor, Wolfgang Kinzel. [doi]
• Assignment of Multiplicative Mixtures in Natural ImagesOdelia Schwartz, Terrence J. Sejnowski, Peter Dayan. [doi]
• A Generalized Bradley-Terry Model: From Group Competition to Individual SkillTzu-Kuo Huang, Chih-Jen Lin, Ruby C. Weng. [doi]
• VDCBPI: an Approximate Scalable Algorithm for Large POMDPsPascal Poupart, Craig Boutilier. [doi]
• Implicit Wiener Series for Higher-Order Image AnalysisMatthias O. Franz, Bernhard Schölkopf. [doi]
• Using the Equivalent Kernel to Understand Gaussian Process RegressionPeter Sollich, Christopher K. I. Williams. [doi]
• Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron ModelTaro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aihara, Wulfram Gerstner. [doi]
• Integrating Topics and SyntaxThomas L. Griffiths, Mark Steyvers, David M. Blei, Joshua B. Tenenbaum. [doi]
• Matrix Exponential Gradient Updates for On-line Learning and Bregman ProjectionKoji Tsuda, Gunnar Rätsch, Manfred K. Warmuth. [doi]
• The Cerebellum Chip: an Analog VLSI Implementation of a Cerebellar Model of Classical ConditioningConstanze Hofstoetter, Manuel Gil, Kynan Eng, Giacomo Indiveri, Matti Mintz, Jörg Kramer, Paul F. M. J. Verschure. [doi]
• Maximising Sensitivity in a Spiking NetworkAnthony J. Bell, Lucas C. Parra. [doi]
• Fast Rates to Bayes for Kernel MachinesIngo Steinwart, Clint Scovel. [doi]
• Similarity and Discrimination in Classical Conditioning: A Latent Variable AccountAaron C. Courville, Nathaniel D. Daw, David S. Touretzky. [doi]
• A Direct Formulation for Sparse PCA Using Semidefinite ProgrammingAlexandre d Aspremont, Laurent El Ghaoui, Michael I. Jordan, Gert R. G. Lanckriet. [doi]
• Semi-parametric Exponential Family PCASajama, Alon Orlitsky. [doi]
• New Criteria and a New Algorithm for Learning in Multi-Agent SystemsRob Powers, Yoav Shoham. [doi]
• Proximity Graphs for Clustering and Manifold LearningMiguel Á. Carreira-Perpiñán, Richard S. Zemel. [doi]
• Unsupervised Variational Bayesian Learning of Nonlinear ModelsAntti Honkela, Harri Valpola. [doi]
• Making Latin Manuscripts Searchable using gHMMsJaety Edwards, Yee Whye Teh, David A. Forsyth, Roger Bock, Michael Maire, Grace Vesom. [doi]