Abstract is missing.
- Learning first-order Markov models for controlPieter Abbeel, Andrew Y. Ng. 1-8 [doi]
- A Large Deviation Bound for the Area Under the ROC CurveShivani Agarwal, Thore Graepel, Ralf Herbrich, Dan Roth. 9-16 [doi]
- Learning Preferences for Multiclass ProblemsFabio Aiolli, Alessandro Sperduti. 17-24 [doi]
- Harmonising Chorales by Probabilistic InferenceMoray Allan, Christopher K. I. Williams. 25-32 [doi]
- The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid SurfacesDragomir Anguelov, Praveen Srinivasan, Hoi-Cheung Pang, Daphne Koller, Sebastian Thrun, James Davis. 33-40 [doi]
- A Direct Formulation for Sparse PCA Using Semidefinite ProgrammingAlexandre d Aspremont, Laurent El Ghaoui, Michael I. Jordan, Gert R. G. Lanckriet. 41-48 [doi]
- Comparing Beliefs, Surveys, and Random WalksErik Aurell, Uri Gordon, Scott Kirkpatrick. 49-56 [doi]
- The power of feature clustering: An application to object detectionShai Avidan, Moshe Butman. 57-64 [doi]
- Blind One-microphone Speech Separation: A Spectral Learning ApproachFrancis R. Bach, Michael I. Jordan. 65-72 [doi]
- Computing regularization paths for learning multiple kernelsFrancis R. Bach, Romain Thibaux, Michael I. Jordan. 73-80 [doi]
- Breaking SVM Complexity with Cross-TrainingGökhan H. Bakir, Léon Bottou, Jason Weston. 81-88 [doi]
- Co-Training and Expansion: Towards Bridging Theory and PracticeMaria-Florina Balcan, Avrim Blum, Ke Yang. 89-96 [doi]
- Large-Scale Prediction of Disulphide Bond ConnectivityPierre Baldi, Jianlin Cheng, Alessandro Vullo. 97-104 [doi]
- Spike Sorting: Bayesian Clustering of Non-Stationary DataAharon Bar-Hillel, Adam Spiro, Eran Stark. 105-112 [doi]
- Exponentiated Gradient Algorithms for Large-margin Structured ClassificationPeter L. Bartlett, Michael Collins, Benjamin Taskar, David A. McAllester. 113-120 [doi]
- Maximising Sensitivity in a Spiking NetworkAnthony J. Bell, Lucas C. Parra. 121-128 [doi]
- Non-Local Manifold Tangent LearningYoshua Bengio, Martin Monperrus. 129-136 [doi]
- Whos In the PictureTamara L. Berg, Alexander C. Berg, Jaety Edwards, David A. Forsyth. 137-144 [doi]
- At the Edge of Chaos: Real-time Computations and Self-Organized Criticality in Recurrent Neural NetworksNils Bertschinger, Thomas Natschläger, Robert A. Legenstein. 145-152 [doi]
- A Second Order Cone programming Formulation for Classifying Missing DataChiranjib Bhattacharyya, Pannagadatta K. Shivaswamy, Alex J. Smola. 153-160 [doi]
- Support Vector Classification with Input Data UncertaintyJinbo Bi, Tong Zhang. 161-168 [doi]
- Responding to Modalities with Different LatenciesFredrik Bissmarck, Hiroyuki Nakahara, Kenji Doya, Okihide Hikosaka. 169-176 [doi]
- Nonlinear Blind Source Separation by Integrating Independent Component Analysis and Slow Feature AnalysisTobias Blaschke, Laurenz Wiskott. 177-184 [doi]
- Hierarchical Distributed Representations for Statistical Language ModelingJohn Blitzer, Kilian Q. Weinberger, Lawrence K. Saul, Fernando Pereira. 185-192 [doi]
- Markov Networks for Detecting Overalpping Elements in Sequence DataJoseph Bockhorst, Mark Craven. 193-200 [doi]
- Reducing Spike Train Variability: A Computational Theory Of Spike-Timing Dependent PlasticitySander M. Bohte, Michael C. Mozer. 201-208 [doi]
- Convergence and No-Regret in Multiagent LearningMichael H. Bowling. 209-216 [doi]
- Dependent Gaussian ProcessesPhillip Boyle, Marcus R. Frean. 217-224 [doi]
- Proximity Graphs for Clustering and Manifold LearningMiguel Á. Carreira-Perpiñán, Richard S. Zemel. 225-232 [doi]
- Incremental Algorithms for Hierarchical ClassificationNicolò Cesa-Bianchi, Claudio Gentile, Andrea Tironi, Luca Zaniboni. 233-240 [doi]
- Worst-Case Analysis of Selective Sampling for Linear-Threshold AlgorithmsNicolò Cesa-Bianchi, Claudio Gentile, Luca Zaniboni. 241-248 [doi]
- Sub-Microwatt Analog VLSI Support Vector Machine for Pattern Classification and Sequence EstimationShantanu Chakrabartty, Gert Cauwenberghs. 249-256 [doi]
- A Machine Learning Approach to Conjoint AnalysisOlivier Chapelle, Zaïd Harchaoui. 257-264 [doi]
- Using Machine Learning to Break Visual Human Interaction Proofs (HIPs)Kumar Chellapilla, Patrice Y. Simard. 265-272 [doi]
- Hierarchical Eigensolver for Transition Matrices in Spectral MethodsChakra Chennubhotla, Allan D. Jepson. 273-280 [doi]
- Modeling Conversational Dynamics as a Mixed-Memory Markov ProcessTanzeem Choudhury, Sumit Basu. 281-288 [doi]
- Theories of Access ConsciousnessMichael D. Colagrosso, Michael C. Mozer. 289-296 [doi]
- Distributed Information Regularization on GraphsAdrian Corduneanu, Tommi Jaakkola. 297-304 [doi]
- Confidence Intervals for the Area Under the ROC CurveCorinna Cortes, Mehryar Mohri. 305-312 [doi]
- Similarity and Discrimination in Classical Conditioning: A Latent Variable AccountAaron C. Courville, Nathaniel D. Daw, David S. Touretzky. 313-320 [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. 321-328 [doi]
- Semigroup Kernels on Finite SetsMarco Cuturi, Jean-Philippe Vert. 329-336 [doi]
- Analysis of a greedy active learning strategySanjoy Dasgupta. 337-344 [doi]
- The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix TreesOfer Dekel, Shai Shalev-Shwartz, Yoram Singer. 345-352 [doi]
- Bayesian inference in spiking neuronsSophie Deneve. 353-360 [doi]
- Triangle Fixing Algorithms for the Metric Nearness ProblemInderjit S. Dhillon, Suvrit Sra, Joel A. Tropp. 361-368 [doi]
- Pictorial Structures for Molecular Modeling: Interpreting Density MapsFrank DiMaio, Jude W. Shavlik, George N. Phillips. 369-376 [doi]
- Sparse Coding of Natural Images Using an Overcomplete Set of Limited Capacity UnitsEizaburo Doi, Michael S. Lewicki. 377-384 [doi]
- Making Latin Manuscripts Searchable using gHMMsJaety Edwards, Yee Whye Teh, David A. Forsyth, Roger Bock, Michael Maire, Grace Vesom. 385-392 [doi]
- Seeing through waterAlexei A. Efros, Volkan Isler, Jianbo Shi, Mirkó Visontai. 393-400 [doi]
- Experts in a Markov Decision ProcessEyal Even-Dar, Sham M. Kakade, Yishay Mansour. 401-408 [doi]
- Exploration-Exploitation Tradeoffs for Experts Algorithms in Reactive EnvironmentsDaniela Pucci de Farias, Nimrod Megiddo. 409-416 [doi]
- A Cost-Shaping LP for Bellman Error Minimization with Performance GuaranteesDaniela Pucci de Farias, Benjamin Van Roy. 417-424 [doi]
- Learning Hyper-Features for Visual IdentificationAndras Ferencz, Erik G. Learned-Miller, Jitendra Malik. 425-432 [doi]
- Sampling Methods for Unsupervised LearningRobert Fergus, Andrew Zisserman, Pietro Perona. 433-440 [doi]
- On-Chip Compensation of Device-Mismatch Effects in Analog VLSI Neural NetworksMiguel Figueroa, Seth Bridges, Chris Diorio. 441-448 [doi]
- Object Classification from a Single Example Utilizing Class Relevance MetricsMichael Fink 0002. 449-456 [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. 457-464 [doi]
- Implicit Wiener Series for Higher-Order Image AnalysisMatthias O. Franz, Bernhard Schölkopf. 465-472 [doi]
- Joint Probabilistic Curve Clustering and AlignmentScott Gaffney, Padhraic Smyth. 473-480 [doi]
- Discriminant Saliency for Visual Recognition from Cluttered ScenesDashan Gao, Nuno Vasconcelos. 481-488 [doi]
- Instance-Based Relevance Feedback for Image RetrievalGiorgio Giacinto, Fabio Roli. 489-496 [doi]
- Euclidean Embedding of Co-Occurrence DataAmir Globerson, Gal Chechik, Fernando C. Pereira, Naftali Tishby. 497-504 [doi]
- Hierarchical Clustering of a Mixture ModelJacob Goldberger, Sam T. Roweis. 505-512 [doi]
- Neighbourhood Components AnalysisJacob Goldberger, Sam T. Roweis, Geoffrey E. Hinton, Ruslan Salakhutdinov. 513-520 [doi]
- Parallel Support Vector Machines: The Cascade SVMHans Peter Graf, Eric Cosatto, Léon Bottou, Igor Durdanovic, Vladimir Vapnik. 521-528 [doi]
- Semi-supervised Learning by Entropy MinimizationYves Grandvalet, Yoshua Bengio. 529-536 [doi]
- Integrating Topics and SyntaxThomas L. Griffiths, Mark Steyvers, David M. Blei, Joshua B. Tenenbaum. 537-544 [doi]
- Result Analysis of the NIPS 2003 Feature Selection ChallengeIsabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror. 545-552 [doi]
- Theory of localized synfire chain: characteristic propagation speed of stable spike patternKosuke Hamaguchi, Masato Okada, Kazuyuki Aihara. 553-560 [doi]
- The Entire Regularization Path for the Support Vector MachineTrevor Hastie, Saharon Rosset, Robert Tibshirani, Ji Zhu. 561-568 [doi]
- An Auditory Paradigm for Brain-Computer InterfacesN. Jeremy Hill, Thomas Navin Lal, Karin Bierig, Niels Birbaumer, Bernhard Schölkopf. 569-576 [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. 577-584 [doi]
- Schema Learning: Experience-Based Construction of Predictive Action ModelsMichael P. Holmes, Charles Lee Isbell Jr.. 585-592 [doi]
- Unsupervised Variational Bayesian Learning of Nonlinear ModelsAntti Honkela, Harri Valpola. 593-600 [doi]
- A Generalized Bradley-Terry Model: From Group Competition to Individual SkillTzu-Kuo Huang, Chih-Jen Lin, Ruby C. Weng. 601-608 [doi]
- Message Errors in Belief PropagationAlexander T. Ihler, John W. Fisher III, Alan S. Willsky. 609-616 [doi]
- Parametric Embedding for Class VisualizationTomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum. 617-624 [doi]
- The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature SpaceRobert Jenssen, Deniz Erdogmus, José Carlos Príncipe, Torbjørn Eltoft. 625-632 [doi]
- Economic Properties of Social NetworksSham M. Kakade, Michael J. Kearns, Luis E. Ortiz, Robin Pemantle, Siddharth Suri. 633-640 [doi]
- Online Bounds for Bayesian AlgorithmsSham M. Kakade, Andrew Y. Ng. 641-648 [doi]
- Maximal Margin Labeling for Multi-Topic Text CategorizationHideto Kazawa, Tomonori Izumitani, Hirotoshi Taira, Eisaku Maeda. 649-656 [doi]
- Generalization Error and Algorithmic Convergence of Median BoostingBalázs Kégl. 657-664 [doi]
- Boosting on Manifolds: Adaptive Regularization of Base ClassifiersBalázs Kégl, Ligen Wang. 665-672 [doi]
- Face Detection - Efficient and Rank DeficientWolf Kienzle, Gökhan H. Bakir, Matthias O. Franz, Bernhard Schölkopf. 673-680 [doi]
- Neural Network Computation by In Vitro Transcriptional CircuitsJongmin Kim, John J. Hopfield, Erik Winfree. 681-688 [doi]
- Synchronization of neural networks by mutual learning and its application to cryptographyEinat Klein, Rachel Mislovaty, Ido Kanter, Andreas Ruttor, Wolfgang Kinzel. 689-696 [doi]
- Nearly Tight Bounds for the Continuum-Armed Bandit ProblemRobert D. Kleinberg. 697-704 [doi]
- Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance ImagingVladimir Koltchinskii, Manel Martínez-Ramón, Stefan Posse. 705-712 [doi]
- Newscast EMWojtek Kowalczyk, Nikos A. Vlassis. 713-720 [doi]
- On Semi-Supervised ClassificationBalaji Krishnapuram, David Williams, Ya Xue, Alexander J. Hartemink, Lawrence Carin, Mário A. T. Figueiredo. 721-728 [doi]
- An Application of Boosting to Graph ClassificationTaku Kudo, Eisaku Maeda, Yuji Matsumoto. 729-736 [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. 737-744 [doi]
- Beat Tracking the Graphical Model WayDustin Lang, Nando de Freitas. 745-752 [doi]
- Semi-supervised Learning via Gaussian ProcessesNeil D. Lawrence, Michael I. Jordan. 753-760 [doi]
- Joint MRI Bias Removal Using Entropy Minimization Across ImagesErik G. Learned-Miller, Parvez Ahammad. 761-768 [doi]
- Rate- and Phase-coded Autoassociative MemoryMáté Lengyel, Peter Dayan. 769-776 [doi]
- Maximum Likelihood Estimation of Intrinsic DimensionElizaveta Levina, Peter J. Bickel. 777-784 [doi]
- Planning for Markov Decision Processes with Sparse StochasticityMaxim Likhachev, Geoffrey J. Gordon, Sebastian Thrun. 785-792 [doi]
- Incremental Learning for Visual TrackingJongwoo Lim, David A. Ross, Ruei-Sung Lin, Ming-Hsuan Yang. 793-800 [doi]
- Adaptive Discriminative Generative Model and Its ApplicationsRuei-Sung Lin, David A. Ross, Jongwoo Lim, Ming-Hsuan Yang. 801-808 [doi]
- Bayesian Regularization and Nonnegative Deconvolution for Time Delay EstimationYuanqing Lin, Daniel D. Lee. 809-816 [doi]
- Multiple Alignment of Continuous Time SeriesJennifer Listgarten, Radford M. Neal, Sam T. Roweis, Andrew Emili. 817-824 [doi]
- An Investigation of Practical Approximate Nearest Neighbor AlgorithmsTing Liu, Andrew W. Moore, Alexander G. Gray, Ke Yang. 825-832 [doi]
- Mistake Bounds for Maximum Entropy DiscriminationPhilip M. Long, Xinyu Wu. 833-840 [doi]
- A Three Tiered Approach for Articulated Object Action Modeling and RecognitionLe Lu, Gregory D. Hager, Laurent Younes. 841-848 [doi]
- Semi-supervised Learning with Penalized Probabilistic ClusteringZhengdong Lu, Todd K. Leen. 849-856 [doi]
- Limits of Spectral ClusteringUlrike von Luxburg, Olivier Bousquet, Mikhail Belkin. 857-864 [doi]
- Methods for Estimating the Computational Power and Generalization Capability of Neural MicrocircuitsWolfgang Maass, Robert A. Legenstein, Nils Bertschinger. 865-872 [doi]
- Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification AlgorithmsOmid Madani, David M. Pennock, Gary William Flake. 873-880 [doi]
- PAC-Bayes Learning of Conjunctions and Classification of Gene-Expression DataMario Marchand, Mohak Shah. 881-888 [doi]
- Joint Tracking of Pose, Expression, and Texture using Conditionally Gaussian FiltersTim K. Marks, John Hershey, J. Cooper Roddey, Javier R. Movellan. 889-896 [doi]
- Linear Multilayer Independent Component Analysis for Large Natural ScenesYoshitatsu Matsuda, Kazunori Yamaguchi. 897-904 [doi]
- Conditional Models of Identity Uncertainty with Application to Noun CoreferenceAndrew McCallum, Ben Wellner. 905-912 [doi]
- Multiple Relational EmbeddingRoland Memisevic, Geoffrey E. Hinton. 913-920 [doi]
- Kernels for Multi--task LearningCharles A. Micchelli, Massimiliano Pontil. 921-928 [doi]
- A Topographic Support Vector Machine: Classification Using Local Label ConfigurationsJohannes Mohr, Klaus Obermayer. 929-936 [doi]
- Optimal Information Decoding from Neuronal Populations with Specific Stimulus SelectivityMarcelo A. Montemurro, Stefano Panzeri. 937-944 [doi]
- Validity Estimates for Loopy Belief Propagation on Binary Real-world NetworksJoris M. Mooij, Hilbert J. Kappen. 945-952 [doi]
- Common-Frame Model for Object RecognitionPierre Moreels, Pietro Perona. 953-960 [doi]
- Optimal sub-graphical modelsMukund Narasimhan, Jeff A. Bilmes. 961-968 [doi]
- Detecting Significant Multidimensional Spatial ClustersDaniel B. Neill, Andrew W. Moore, Francisco Pereira, Tom M. Mitchell. 969-976 [doi]
- Stable adaptive control with online learningAndrew Y. Ng, H. Jin Kim. 977-984 [doi]
- Mass Meta-analysis in Talairach SpaceFinn Årup Nielsen. 985-992 [doi]
- A Harmonic Excitation State-Space Approach to Blind Separation of SpeechRasmus Kongsgaard Olsson, Lars Kai Hansen. 993-1000 [doi]
- Expectation Consistent Free Energies for Approximate InferenceManfred Opper, Ole Winther. 1001-1008 [doi]
- Discrete profile alignment via constrained information bottleneckSean O Rourke, Gal Chechik, Robin Friedman, Eleazar Eskin. 1009-1016 [doi]
- Synergistic Face Detection and Pose Estimation with Energy-Based ModelsMargarita Osadchy, Matthew L. Miller, Yann LeCun. 1017-1024 [doi]
- Log-concavity Results on Gaussian Process Methods for Supervised and Unsupervised LearningLiam Paninski. 1025-1032 [doi]
- Variational Minimax Estimation of Discrete Distributions under KL LossLiam Paninski. 1033-1040 [doi]
- Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian DistributionHyun-Jin Park, Te-Won Lee. 1041-1048 [doi]
- Approximately Efficient Online Mechanism DesignDavid C. Parkes, Satinder P. Singh, Dimah Yanovsky. 1049-1056 [doi]
- Efficient Out-of-Sample Extension of Dominant-Set ClustersMassimiliano Pavan, Marcello Pelillo. 1057-1064 [doi]
- A Feature Selection Algorithm Based on the Global Minimization of a Generalization Error BoundDori Peleg, Ron Meir. 1065-1072 [doi]
- Active Learning for Anomaly and Rare-Category DetectionDan Pelleg, Andrew W. Moore. 1073-1080 [doi]
- VDCBPI: an Approximate Scalable Algorithm for Large POMDPsPascal Poupart, Craig Boutilier. 1081-1088 [doi]
- New Criteria and a New Algorithm for Learning in Multi-Agent SystemsRob Powers, Yoav Shoham. 1089-1096 [doi]
- Conditional Random Fields for Object RecognitionAriadna Quattoni, Michael Collins, Trevor Darrell. 1097-1104 [doi]
- Chemosensory Processing in a Spiking Model of the Olfactory Bulb: Chemotopic Convergence and Center Surround InhibitionBaranidharan Raman, Ricardo Gutierrez-Osuna. 1105-1112 [doi]
- Hierarchical Bayesian Inference in Networks of Spiking NeuronsRajesh P. N. Rao. 1113-1120 [doi]
- An Information Maximization Model of Eye MovementsLaura Walker Renninger, James M. Coughlan, Preeti Verghese, Jitendra Malik. 1121-1128 [doi]
- Brain Inspired Reinforcement LearningFrançois Rivest, Yoshua Bengio, John Kalaska. 1129-1136 [doi]
- Coarticulation in Markov Decision ProcessesKhashayar Rohanimanesh, Robert Platt Jr., Sridhar Mahadevan, Roderic A. Grupen. 1137-1144 [doi]
- Learning, Regularization and Ill-Posed Inverse ProblemsLorenzo Rosasco, Andrea Caponnetto, Ernesto De Vito, Francesca Odone, Umberto De Giovannini. 1145-1152 [doi]
- Following Curved Regularized Optimization Solution PathsSaharon Rosset. 1153-1160 [doi]
- A Method for Inferring Label Sampling Mechanisms in Semi-Supervised LearningSaharon Rosset, Ji Zhu, Hui Zou, Trevor Hastie. 1161-1168 [doi]
- Outlier Detection with One-class Kernel Fisher DiscriminantsVolker Roth. 1169-1176 [doi]
- Semi-parametric Exponential Family PCASajama, Alon Orlitsky. 1177-1184 [doi]
- Semi-Markov Conditional Random Fields for Information ExtractionSunita Sarawagi, William W. Cohen. 1185-1192 [doi]
- Kernel Methods for Implicit Surface ModelingBernhard Schölkopf, Joachim Giesen, Simon Spalinger. 1193-1200 [doi]
- Edge of Chaos Computation in Mixed-Mode VLSI - A Hard LiquidFelix Schürmann, Karlheinz Meier, Johannes Schemmel. 1201-1208 [doi]
- Learning Gaussian Process Kernels via Hierarchical BayesAnton Schwaighofer, Volker Tresp, Kai Yu. 1209-1216 [doi]
- Assignment of Multiplicative Mixtures in Natural ImagesOdelia Schwartz, Terrence J. Sejnowski, Peter Dayan. 1217-1224 [doi]
- On the Adaptive Properties of Decision TreesClayton Scott, Robert Nowak. 1225-1232 [doi]
- Real-Time Pitch Determination of One or More Voices by Nonnegative Matrix FactorizationFei Sha, Lawrence K. Saul. 1233-1240 [doi]
- Probabilistic Inference of Alternative Splicing Events in Microarray DataOfer Shai, Brendan J. Frey, Quaid Morris, Qun Pan, Christine Misquitta, Benjamin J. Blencowe. 1241-1248 [doi]
- Resolving Perceptual Aliasing In The Presence Of Noisy SensorsGuy Shani, Ronen I. Brafman. 1249-1256 [doi]
- Algebraic Set Kernels with Application to Inference Over Local Image RepresentationsAmnon Shashua, Tamir Hazan. 1257-1264 [doi]
- Dynamic Bayesian Networks for Brain-Computer InterfacesPradeep Shenoy, Rajesh P. N. Rao. 1265-1272 [doi]
- A Temporal Kernel-Based Model for Tracking Hand Movements from Neural ActivitiesLavi Shpigelman, Koby Crammer, Rony Paz, Eilon Vaadia, Yoram Singer. 1273-1280 [doi]
- Intrinsically Motivated Reinforcement LearningSatinder P. Singh, Andrew G. Barto, Nuttapong Chentanez. 1281-1288 [doi]
- Learning Efficient Auditory Codes Using Spikes Predicts Cochlear FiltersEvan C. Smith, Michael S. Lewicki. 1289-1296 [doi]
- Learning Syntactic Patterns for Automatic Hypernym DiscoveryRion Snow, Daniel Jurafsky, Andrew Y. Ng. 1297-1304 [doi]
- Surface Reconstruction using Learned Shape ModelsJan Erik Solem, Fredrik Kahl. 1305-1312 [doi]
- Using the Equivalent Kernel to Understand Gaussian Process RegressionPeter Sollich, Christopher K. I. Williams. 1313-1320 [doi]
- Generalization Error Bounds for Collaborative Prediction with Low-Rank MatricesNathan Srebro, Noga Alon, Tommi Jaakkola. 1321-1328 [doi]
- Maximum-Margin Matrix FactorizationNathan Srebro, Jason D. M. Rennie, Tommi Jaakkola. 1329-1336 [doi]
- Density Level Detection is ClassificationIngo Steinwart, Don R. Hush, Clint Scovel. 1337-1344 [doi]
- Fast Rates to Bayes for Kernel MachinesIngo Steinwart, Clint Scovel. 1345-1352 [doi]
- Modelling Uncertainty in the Game of GoDavid H. Stern, Thore Graepel, David J. C. MacKay. 1353-1360 [doi]
- Constraining a Bayesian Model of Human Visual Speed PerceptionAlan Stocker, Eero P. Simoncelli. 1361-1368 [doi]
- Distributed Occlusion Reasoning for Tracking with Nonparametric Belief PropagationErik B. Sudderth, Michael I. Mandel, William T. Freeman, Alan S. Willsky. 1369-1376 [doi]
- Temporal-Difference NetworksRichard S. Sutton, Brian Tanner. 1377-1384 [doi]
- Sharing Clusters among Related Groups: Hierarchical Dirichlet ProcessesYee Whye Teh, Michael I. Jordan, Matthew J. Beal, David M. Blei. 1385-1392 [doi]
- Heuristics for Ordering Cue Search in Decision MakingPeter M. Todd, Anja Dieckmann. 1393-1400 [doi]
- Contextual Models for Object Detection Using Boosted Random FieldsAntonio B. Torralba, Kevin P. Murphy, William T. Freeman. 1401-1408 [doi]
- Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron ModelTaro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aihara, Wulfram Gerstner. 1409-1416 [doi]
- Synergies between Intrinsic and Synaptic Plasticity in Individual Model NeuronsJochen Triesch. 1417-1424 [doi]
- Matrix Exponential Gradient Updates for On-line Learning and Bregman ProjectionKoji Tsuda, Gunnar Rätsch, Manfred K. Warmuth. 1425-1432 [doi]
- Supervised Graph InferenceJean-Philippe Vert, Yoshihiro Yamanishi. 1433-1440 [doi]
- Binet-Cauchy KernelsS. V. N. Vishwanathan, Alex J. Smola. 1441-1448 [doi]
- Instance-Specific Bayesian Model Averaging for ClassificationShyam Visweswaran, Gregory F. Cooper. 1449-1456 [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. 1457-1464 [doi]
- Identifying Protein-Protein Interaction Sites on a Genome-Wide ScaleHaidong Wang, Eran Segal, Asa Ben-Hur, Daphne Koller, Douglas L. Brutlag. 1465-1472 [doi]
- Adaptive Manifold LearningJing Wang, Zhenyue Zhang, Hongyuan Zha. 1473-1480 [doi]
- Exponential Family Harmoniums with an Application to Information RetrievalMax Welling, Michal Rosen-Zvi, Geoffrey E. Hinton. 1481-1488 [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. 1489-1496 [doi]
- The Variational Ising Classifier (VIC) Algorithm for Coherently Contaminated DataOliver M. C. Williams, Andrew Blake, Roberto Cipolla. 1497-1504 [doi]
- Generative Affine Localisation and TrackingJohn M. Winn, Andrew Blake. 1505-1512 [doi]
- L_0-norm Minimization for Basis SelectionDavid P. Wipf, Bhaskar D. Rao. 1513-1520 [doi]
- Multi-agent Cooperation in Diverse Population GamesK. Y. Michael Wong, S. W. Lim, Zhuo Gao. 1521-1528 [doi]
- Efficient Kernel Discriminant Analysis via QR DecompositionTao Xiong, Jieping Ye, Qi Li, Ravi Janardan, Vladimir Cherkassky. 1529-1536 [doi]
- Maximum Margin ClusteringLinli Xu, James Neufeld, Bryce Larson, Dale Schuurmans. 1537-1544 [doi]
- Using Random Forests in the Structured Language ModelPeng Xu, Frederick Jelinek. 1545-1552 [doi]
- Solitaire: Man Versus MachineXiang Yan, Persi Diaconis, Paat Rusmevichientong, Benjamin Van Roy. 1553-1560 [doi]
- Efficient Kernel Machines Using the Improved Fast Gauss TransformChangjiang Yang, Ramani Duraiswami, Larry S. Davis. 1561-1568 [doi]
- Two-Dimensional Linear Discriminant AnalysisJieping Ye, Ravi Janardan, Qi Li. 1569-1576 [doi]
- Inference, Attention, and Decision in a Bayesian Neural ArchitectureAngela J. Yu, Peter Dayan. 1577-1584 [doi]
- The Rescorla-Wagner Algorithm and Maximum Likelihood Estimation of Causal ParametersAlan L. Yuille. 1585-1592 [doi]
- The Convergence of Contrastive DivergencesAlan L. Yuille. 1593-1600 [doi]
- Self-Tuning Spectral ClusteringLihi Zelnik-Manor, Pietro Perona. 1601-1608 [doi]
- Probabilistic Computation in Spiking PopulationsRichard S. Zemel, Quentin J. M. Huys, Rama Natarajan, Peter Dayan. 1609-1616 [doi]
- A Probabilistic Model for Online Document Clustering with Application to Novelty DetectionJian Zhang, Zoubin Ghahramani, Yiming Yang. 1617-1624 [doi]
- Class-size Independent Generalization Analsysis of Some Discriminative Multi-Category ClassificationTong Zhang. 1625-1632 [doi]
- Semi-supervised Learning on Directed GraphsDengyong Zhou, Bernhard Schölkopf, Thomas Hofmann. 1633-1640 [doi]
- Nonparametric Transforms of Graph Kernels for Semi-Supervised LearningXiaojin Zhu, Jaz S. Kandola, Zoubin Ghahramani, John D. Lafferty. 1641-1648 [doi]
- Kernel Projection Machine: a New Tool for Pattern RecognitionLaurent Zwald, Régis Vert, Gilles Blanchard, Pascal Massart. 1649-1656 [doi]