Abstract is missing.
- Learning the Structure of SimilarityJoshua B. Tenenbaum. 3-9 [doi]
- A Model of Spatial Representations in Parietal Cortex Explains HemineglectAlexandre Pouget, Terrence J. Sejnowski. 10-16 [doi]
- Human Reading and the Curse of DimensionalityGale Martin. 17-23 [doi]
- Extracting Tree-Structured Representations of Trained NetworksMark Craven, Jude W. Shavlik. 24-30 [doi]
- Harmony Networks Do Not WorkRené Gourley. 31-37 [doi]
- Dynamics of Attention as Near Saddle-Node Bifurcation BehaviorHiroyuki Nakahara, Kenji Doya. 38-44 [doi]
- Rapid Quality Estimation of Neural Network Input RepresentationsKevin J. Cherkauer, Jude W. Shavlik. 45-51 [doi]
- A Model of Auditory StreamingSusan L. McCabe, Michael J. Denham. 52-58 [doi]
- Modeling Interactions of the Rat s Place and Head Direction SystemsA. David Redish, David S. Touretzky. 61-67 [doi]
- Correlated Neuronal Response: Time Scales and MechanismsWyeth Bair, Ehud Zohary, Christof Koch. 68-74 [doi]
- Information through a Spiking NeuronCharles F. Stevens, Anthony M. Zador. 75-81 [doi]
- Reorganisation of Somatosensory Cortex after Tactile TrainingRasmus S. Petersen, John G. Taylor. 82-88 [doi]
- A Dynamical Moedl of Context Dependencies for the Vestibulo-Ocular ReflexOlivier J. M. D. Coenen, Terrence J. Sejnowski. 89-95 [doi]
- The Role of Activity in Synaptic Competition at the Neuromuscular JunctionSamuel R. H. Joseph, David J. Willshaw. 96-102 [doi]
- When is an Integrate-and-fire Neuron like a Poisson Neuron?Charles F. Stevens, Anthony M. Zador. 103-109 [doi]
- How Perception Guides Production in Birdsong LearningChristopher L. Fry. 110-116 [doi]
- The Geometry of Eye Rotations and Listing s LawAmir A. Handzel, Tamar Flash. 117-123 [doi]
- Temporal coding in the sub-millisecond range: Model of barn owl auditory pathwayRichard Kempter, Wulfram Gerstner, J. Leo van Hemmen, Hermann Wagner. 124-130 [doi]
- Cholinergic suppression of transmission may allow combined associative memory function and self-organization in the neocortexMichael E. Hasselmo, Milos Cekic. 131-137 [doi]
- A Predictive Switching Model of Cerebellar Movement ControlAndrew G. Barto, James C. Houk. 138-144 [doi]
- Independent Component Analysis of Electroencephalographic DataScott Makeig, Anthony J. Bell, Tzyy-Ping Jung, Terrence J. Sejnowski. 145-151 [doi]
- Simualtion of a Thalamocortical Circuit for Computing Directional Heading in the RatHugh T. Blair. 152-158 [doi]
- Plasticity of Center-Surround Opponent Receptive Fields in Real and Artificial Neural Systems of VisionS. Yasui, T. Furukawa, M. Yamada, T. Saito. 159-165 [doi]
- Learning Model BiasJonathan Baxter. 169-175 [doi]
- Statistical Theory of Overtraining - Is Cross-Validation Asymptotically Effective?Shun-ichi Amari, Noboru Murata, Klaus-Robert Müller, M. Finke, Howard Hua Yang. 176-182 [doi]
- A Bound on the Error of Cross Validation Using the Approximation and Estimation Rates, with Consequences for the Training-Test SplitMichael J. Kearns. 183-189 [doi]
- Learning with ensembles: How overfitting can be usefulPeter Sollich, Anders Krogh. 190-196 [doi]
- Neural Networks with Quadratic VC DimensionPascal Koiran, Eduardo D. Sontag. 197-203 [doi]
- Sample Complexity for Learning Recurrent Perceptron MappingsBhaskar DasGupta, Eduardo D. Sontag. 204-210 [doi]
- On the Computational Power of Noisy Spiking NeuronsWolfgang Maass. 211-217 [doi]
- A Realizable Learning Task which Exhibits OverfittingSiegfried Bös. 218-224 [doi]
- Stable Dynamic Parameter AdaptionStefan M. Rüger. 225-231 [doi]
- Estimating the Bayes Risk from Sample DataRobert R. Snapp, Tong Xu. 232-238 [doi]
- Recursive Estimation of Dynamic Modular RBF NetworksVisakan Kadirkamanathan, Maha Kadirkamanathan. 239-245 [doi]
- On Neural Networks with Minimal WeightsVasken Bohossian, Jehoshua Bruck. 246-252 [doi]
- Modern Analytic Techniques to Solve the Dynamics of Recuurent Neural NetworksAnthony C. C. Coolen, S. N. Laughton, D. Sherrington. 253-259 [doi]
- Implementation Issues in the Fourier Transform AlgorithmYishay Mansour, Sigal Sahar. 260-266 [doi]
- Generalisation of A Class of Continuous Neural NetworksJohn Shawe-Taylor, Jieyu Zhao. 267-273 [doi]
- Gradient and Hamiltonian Dynamics Applied to Learning in Neural NetworksJames W. Howse, Chaouki T. Abdallah, Gregory L. Heileman. 274-280 [doi]
- Optimization Principles for the Neural CodeMichael DeWeese. 281-287 [doi]
- Strong Unimodality and Exact Learning of Constant Depth µ-Perceptron NetworksMario Marchand, Saeed Hadjifaradji. 288-294 [doi]
- Active Learning in Multilayer PerceptronsKenji Fukumizu. 295-301 [doi]
- Dynamics of On-Line Gradient Descent Learning for Multilayer Neural NetworksDavid Saad, Sara A. Solla. 302-308 [doi]
- Worst-case Loss Bounds for Single NeuronsDavid P. Helmbold, Jyrki Kivinen, Manfred K. Warmuth. 309-315 [doi]
- Exponentially many local minima for single neuronsPeter Auer, Mark Herbster, Manfred K. Warmuth. 316-322 [doi]
- Adaptive Back-Propagation in On-Line Learning of Multilayer NetworksAnsgar H. L. West, David Saad. 323-329 [doi]
- Optimizing Cortical MappingsGeoffrey J. Goodhill, Steven Finch, Terrence J. Sejnowski. 330-336 [doi]
- Quadratic-Type Lyapunov Functions for Competitive Neural Networks with Different Time-ScalesAnke Meyer-Bäse. 337-343 [doi]
- Examples of learning curves from a modified VC-formalismAdam Kowalczyk, Jacek Szymanski, Peter L. Bartlett, Robert C. Williamson. 344-350 [doi]
- Bayesian Methods for Mixtures of ExpertsSteve R. Waterhouse, David Mackay, Anthony J. Robinson. 351-357 [doi]
- Some results on convergent unlearning algorithmSerguei A. Semenov, Irina B. Shuvalova. 358-364 [doi]
- Geometry of Early Stopping in Linear NetworksRobert H. Dodier. 365-371 [doi]
- Absence of Cycles in Symmetric Neural NetworksXin Wang, Arun K. Jagota, Fernanda Botelho, Max H. Garzon. 372-378 [doi]
- Adaptive Mixture of Probabilistic TransducersYoram Singer. 381-387 [doi]
- REMAP: Recursive Estimation and Maximization of A Posteriori Probabilities - Application to Transition-Based Connectionist Speech RecognitionYochai Konig, Hervé Bourlard, Nelson Morgan. 388-394 [doi]
- Recurrent Neural Networks for Missing or Asynchronous DataYoshua Bengio, Francois Gingras. 395-401 [doi]
- Family DiscoveryStephen M. Omohundro. 402-408 [doi]
- Discriminant Adaptive Nearest Neighbor Classification and RegressionTrevor Hastie, Robert Tibshirani. 409-415 [doi]
- Clustering data through an analogy to the Potts modelMarcelo Blatt, Shai Wiseman, Eytan Domany. 416-422 [doi]
- Generalized Learning Vector QuantizationAtsushi Sato, Keiji Yamada. 423-429 [doi]
- Stochastic Hillclimbing as a Baseline Mathod for Evaluating Genetic AlgorithmsAri Juels, Martin Wattenberg. 430-436 [doi]
- Symplectic Nonlinear Component AnalysisLucas C. Parra. 437-443 [doi]
- A Unified Learning Scheme: Bayesian-Kullback Ying-Yang MachinesLei Xu. 444-450 [doi]
- Universal Approximnation and Learning of Trajectories Using OscillatorsPierre Baldi, Kurt Hornik. 451-457 [doi]
- A Smoothing Regularizer for Recurrent Neural NetworksLizhong Wu, John E. Moody. 458-464 [doi]
- EM Optimization of Latent-Variables Density ModelsChristopher M. Bishop, Markus Svensén, Christopher K. I. Williams. 465-471 [doi]
- Factorial Hidden Markov ModelsZoubin Ghahramani, Michael I. Jordan. 472-478 [doi]
- Boosting Decision TreesHarris Drucker, Corinna Cortes. 479-485 [doi]
- Exploiting Tractable Substructures in Intractable NetworksLawrence K. Saul, Michael I. Jordan. 486-492 [doi]
- Hierarchical Recurrent Neural Networks for Long-Term DependenciesSalah El Hihi, Yoshua Bengio. 493-499 [doi]
- Discovering Structure in Continuous Variables Using Bayesian NetworksReimar Hofmann, Volker Tresp. 500-506 [doi]
- Using Pairs of Data-Points to Define Splits for Decision TreesGeoffrey E. Hinton, Michael Revow. 507-513 [doi]
- Gaussian Processes for RegressionChristopher K. I. Williams, Carl Edward Rasmussen. 514-520 [doi]
- Pruning with generalization based weight saliencies: gamma-OBD, gamma-OBSMorten With Pedersen, Lars Kai Hansen, Jan Larsen. 521-527 [doi]
- Fast Learning by Bounding Likelihoods in Sigmoid Type Belief NetworksTommi Jaakkola, Lawrence K. Saul, Michael I. Jordan. 528-534 [doi]
- Generating Accurate and Diverse Members of a Neural-Network EnsembleDavid W. Opitz, Jude W. Shavlik. 535-541 [doi]
- Improved Gaussian Mixture Density Estimates Using Bayesian Penalty Terms and Network AveragingDirk Ormoneit, Volker Tresp. 542-548 [doi]
- Explorations with the Dynamic Wave ModelThomas P. Rebotier, Jeffrey L. Elman. 549-555 [doi]
- The Capacity of a BumpGary William Flake. 556-562 [doi]
- Tempering Backpropagation Networks: Not All Weights are Created EqualNicol N. Schraudolph, Terrence J. Sejnowski. 563-569 [doi]
- Investment Learning with Hierarchical PSOMsJörg A. Walter, Helge Ritter. 570-576 [doi]
- Learning long-term dependencies is not as difficult with NARX networksTsungnan Lin, Bill G. Horne, Peter Tiño, C. Lee Giles. 577-583 [doi]
- Constructive Algorithms for Hierarchical Mixtures of ExpertsSteve R. Waterhouse, Anthony J. Robinson. 584-590 [doi]
- An Information-theoretic Learning Algorithm for Neural Network ClassificationDavid J. Miller, Ajit V. Rao, Kenneth Rose, Allen Gersho. 591-597 [doi]
- A Practical Monte Carlo Implementation of Bayesian LearningCarl Edward Rasmussen. 598-604 [doi]
- From Isolation to Cooperation: An Alternative View of a System of ExpertsStefan Schaal, Christopher G. Atkeson. 605-611 [doi]
- Finite State Automata that Recurrent Cascade-Correlation Cannot RepresentStefan C. Kremer. 612-618 [doi]
- SPERT-II: A Vector Microprocessor System and its Application to Large Problems in Backpropagation TrainingJohn Wawrzynek, Krste Asanovic, Brian Kingsbury, James Beck, David Johnson, Nelson Morgan. 619-625 [doi]
- Softassign versus Softmax: Benchmarks in Combinatorial OptimizationSteven Gold, Anand Rangarajan. 626-632 [doi]
- A Mulitscale Attentional Framework for Relaxation Neural NetworksDimitris I. Tsioutsias, Eric Mjolsness. 633-639 [doi]
- Is Learning The n-th Thing Any Easier Than Learning The First?Sebastian Thrun. 640-646 [doi]
- Using Unlabeled Data for Supervised LearningGeoffrey G. Towell. 647-653 [doi]
- Learning Sparse PerceptronsJeffrey C. Jackson, Mark Craven. 654-660 [doi]
- Does the Wake-sleep Algorithm Produce Good Density Estimators?Brendan J. Frey, Geoffrey E. Hinton, Peter Dayan. 661-667 [doi]
- Improved Silicon Cochlea using Compatible Lateral Bipolar TransistorsAndré van Schaik, Eric Fragnière, Eric A. Vittoz. 671-677 [doi]
- Adaptive Retina with Center-Surround Receptive FieldShih-Chii Liu, Kwabena Boahen. 678-684 [doi]
- Neuron-MOS Temporal Winner Search Hardware for Fully-Parallel Data ProcessingTadashi Shibata, Tsutomu Nakai, Tatsuo Morimoto, Ryu Kaihara, Takeo Yamashita, Tadahiro Ohmi. 685-691 [doi]
- Analog VLSI Processor Implementing the Continuous Wavelet TransformR. Timothy Edwards, Gert Cauwenberghs. 692-698 [doi]
- Silicon Models for Auditory Scene AnalysisJohn Lazzaro, John Wawrzynek. 699-705 [doi]
- VLSI Model of Primate Visual Smooth PursuitRalph Etienne-Cummings, Jan Van der Spiegel, Paul Mueller. 706-712 [doi]
- Model Matching and SFMD ComputationSteven Rehfuss, Dan W. Hammerstrom. 713-719 [doi]
- Parallel analog VLSI architectures for computation of heading direction and time-to-contactGiacomo Indiveri, Jörg Kramer, Christof Koch. 720-726 [doi]
- Onset-based Sound SegmentationLeslie S. Smith. 729-735 [doi]
- Laterally Interconnected Self-Organizing Maps in Hand-Written Digit RecognitionYoonsuck Choe, Joseph Sirosh, Risto Miikkulainen. 736-742 [doi]
- Forward-backward retraining of recurrent neural networksAndrew W. Senior, Anthony J. Robinson. 743-749 [doi]
- Context-Dependent Classes in a Hybrid Recurrent Network-HMM Speech Recognition SystemDan Kershaw, Anthony J. Robinson, Mike Hochberg. 750-756 [doi]
- A New Learning Algorithm for Blind Signal SeparationShun-ichi Amari, Andrzej Cichocki, Howard Hua Yang. 757-763 [doi]
- Handwritten Word Recognition using Contextual Hybrid Radial Basis Function Network/Hidden Markov ModelsBernard Lemarié, Michel Gilloux, Manuel Leroux. 764-770 [doi]
- Selective Attention for Handwritten Digit RecognitionEthem Alpaydin. 771-777 [doi]
- Kodak Imagelink:::TM::: OCR Alphanumeric Handprint ModuleAlexander Shustorovich, Christopher W. Thrasher. 778-784 [doi]
- The Gamma MLP for Speech Phoneme RecognitionSteve Lawrence, Ah Chung Tsoi, Andrew D. Back. 785-791 [doi]
- A Framework for Non-rigid Matching and CorrespondenceSuguna Pappu, Steven Gold, Anand Rangarajan. 795-801 [doi]
- Control of Selective Visual Attention: Modeling the Where PathwayErnst Niebur, Christof Koch. 802-808 [doi]
- Unsupervised Pixel-predictionWilliam R. Softky. 809-815 [doi]
- Learning to Predict Visibility and Invisibility from Occlusion EventsJonathan A. Marshall, Richard K. Alley, Robert S. Hubbard. 816-822 [doi]
- Classifying Facial ActionMarian Stewart Bartlett, Paul A. Viola, Terrence J. Sejnowski, Beatrice A. Golomb, Jan Larsen, Joseph C. Hager, Paul Ekman. 823-829 [doi]
- Modeling Saccadic Targeting in Visual SearchRajesh P. N. Rao, Gregory J. Zelinsky, Mary M. Hayhoe, Dana H. Ballard. 830-836 [doi]
- A model of transparent motion and non-transparent motion aftereffectsAlexander Grunewald. 837-843 [doi]
- A Neural Network Model of 3-D Lightness PerceptionLuiz Pessoa, William D. Ross. 844-850 [doi]
- Empirical Entropy Manipulation for Real-World ProblemsPaul A. Viola, Nicol N. Schraudolph, Terrence J. Sejnowski. 851-857 [doi]
- Active Gesture Recognition using Learned Visual AttentionTrevor Darrell, Alex Pentland. 858-864 [doi]
- SEEMORE: A View-Based Approach to 3-D Object Recognition Using Multiple Visual CuesBartlett W. Mel. 865-871 [doi]
- Human Face Detection in Visual ScenesHenry A. Rowley, Shumeet Baluja, Takeo Kanade. 875-881 [doi]
- Improving Committee Diagnosis with Resampling TechniquesBambang Parmanto, Paul W. Munro, Howard R. Doyle. 882-888 [doi]
- Primitive Manipulation Learning with ConnectionismYoky Matsuoka. 889-895 [doi]
- Beating a Defender in Robotic Soccer: Memory-Based Learning of a Continuous FunctionPeter Stone, Manuela M. Veloso. 896-902 [doi]
- Visual gesture-based robot guidance with a modular neural systemEnno Littmann, Andrea Drees, Helge Ritter. 903-909 [doi]
- A Novel Channel Selection System in Cochlear Implants Using Artificial Neural NetworkMarwan A. Jabri, Raymond J. Wang. 910-916 [doi]
- Prediction of Beta Sheets in ProteinsAnders Krogh, Soren Kamaric Riis. 917-923 [doi]
- A Neural Network Autoassociator for Induction Motor Failure PredictionThomas Petsche, Angelo Marcantonio, Christian Darken, Stephen Jose Hanson, Gary M. Kuhn, N. Iwan Santoso. 924-930 [doi]
- Using Feedforward Neural Networks to Monitor Alertness from Changes in EEG Correlation and CoherenceScott Makeig, Tzyy-Ping Jung, Terrence J. Sejnowski. 931-937 [doi]
- A Neural Network Classifier for the I100 OCR ChipJohn C. Platt, Timothy P. Allen. 938-944 [doi]
- Predictive Q-Routing: A Memory-based Reinforcement Learning Approach to Adaptive Traffic ControlSamuel P. M. Choi, Dit-Yan Yeung. 945-951 [doi]
- Optimal Asset Allocation using Adaptive Dynamic ProgrammingRalph Neuneier. 952-958 [doi]
- Using the Future to Sort Out the Present: Rankprop and Multitask Learning for Medical Risk EvaluationRich Caruana, Shumeet Baluja, Tom M. Mitchell. 959-965 [doi]
- Stock Selection via Nonlinear Multi-Factor ModelsAsriel E. Levin. 966-972 [doi]
- Experiments with Neural Networks for Real Time Implementation of ControlPeter K. Campbell, Michael Dale, Herman L. Ferrá, Adam Kowalczyk. 973-979 [doi]
- High-Speed Airborne Particle Monitoring Using Artificial Neural NetworksAlistair Ferguson, Theo Sabisch, Paul Kaye, Laurence C. Dixon, Hamid Bolouri. 980-986 [doi]
- A Dynamical Systems Approach for a Learnable Autonomous RobotJun Tani, Naohiro Fukumura. 989-995 [doi]
- Parallel Optimization of Motion Controllers via Policy IterationJefferson A. Coelho Jr., R. Sitaraman, Roderic A. Grupen. 996-1002 [doi]
- Learning Fine Motion by Markov Mixtures of ExpertsMarina Meila, Michael I. Jordan. 1003-1009 [doi]
- Neural Control for Nonlinear Dynamic SystemsSsu-Hsin Yu, Anuradha M. Annaswamy. 1010-1016 [doi]
- Improving Elevator Performance Using Reinforcement LearningRobert H. Crites, Andrew G. Barto. 1017-1023 [doi]
- High-Performance Job-Shop Scheduling With A Time-Delay TD-lambda NetworkWei Zhang, Thomas G. Dietterich. 1024-1030 [doi]
- Competence Acquisition in an Autonomous Mobile Robot using Hardware Neural TechniquesGeoffrey B. Jackson, Alan F. Murray. 1031-1037 [doi]
- Generalization in Reinforcement Learning: Successful Examples Using Sparse Coarse CodingRichard S. Sutton. 1038-1044 [doi]
- Stable LInear Approximations to Dynamic Programming for Stochastic Control Problems with Local TransitionsBenjamin Van Roy, John N. Tsitsiklis. 1045-1051 [doi]
- Stable Fitted Reinforcement LearningGeoffrey J. Gordon. 1052-1058 [doi]
- Improving Policies without Measuring MeritsPeter Dayan, Satinder P. Singh. 1059-1065 [doi]
- Memory-based Stochastic OptimizationAndrew W. Moore, Jeff G. Schneider. 1066-1072 [doi]
- Temporal Difference Learning in Continuous Time and SpaceKenji Doya. 1073-1079 [doi]
- Reinforcement Learning by Probability MatchingPhilip N. Sabes, Michael I. Jordan. 1080-1086 [doi]