Table of Contents

• On the Use of Projection Pursuit Constraints for Training Neural NetworksNathan Intrator. 3-10 [doi]
• Hidden Markov Model} Induction by Bayesian Model MergingAndreas Stolcke, Stephen M. Omohundro. 11-18 [doi]
• Computing with Almost Optimal Size Neural NetworksKai-Yeung Siu, Vwani P. Roychowdhury, Thomas Kailath. 19-26 [doi]
• Intersecting Regions: The Key to Combinatorial Structure in Hidden Unit SpaceJanet Wiles, Mark Ollila. 27-33 [doi]
• Holographic Recurrent NetworksTony Plate. 34-41 [doi]
• Improving Performance in Neural Networks Using a Boosting AlgorithmHarris Drucker, Robert E. Schapire, Patrice Simard. 42-49 [doi]
• Efficient Pattern Recognition Using a New Transformation DistancePatrice Simard, Yann LeCun, John S. Denker. 50-58 [doi]
• Optimal Depth Neural Networks for Multiplication and Related ProblemsKai-Yeung Siu, Vwani P. Roychowdhury. 59-64 [doi]
• Using Prior Knowledge in a {NNPDA} to Learn Context-Free LanguagesSreerupa Das, C. Lee Giles, Guo-Zheng Sun. 65-72 [doi]
• A Method for Learning From HintsYaser S. Abu-Mostafa. 73-80 [doi]
• Q-Learning with Hidden-Unit RestartingCharles W. Anderson. 81-88 [doi]
• Nets with Unreliable Hidden Nodes Learn Error-Correcting CodesJ. Stephen Judd, Paul W. Munro. 89-96 [doi]
• Interposing an Ontogenetic Model Between Genetic Algorithms and Neural NetworksRichard K. Belew. 99-106 [doi]
• Combining Neural and Symbolic Learning to Revise Probabilistic Rule BasesJ. Jeffrey Mahoney, Raymond J. Mooney. 107-114 [doi]
• Learning Sequential Tasks by Incrementally Adding Higher OrdersMark B. Ring. 115-122 [doi]
• Kohonen Feature Maps and Growing Cell Structures - a Performance ComparisonBernd Fritzke. 123-130 [doi]
• Metamorphosis Networks: An Alternative to Constructive ModelsBrian V. Bonnlander, Michael Mozer. 131-138 [doi]
• A Boundary Hunting Radial Basis Function Classifier which Allocates Centers ConstructivelyEric I. Chang, Richard Lippmann. 139-146 [doi]
• Automatic Capacity Tuning of Very Large VC-Dimension ClassifiersIsabelle Guyon, Bernhard E. Boser, Vladimir Vapnik. 147-155 [doi]
• Automatic Learning Rate Maximization in Large Adaptive MachinesYann LeCun, Patrice Simard, Barak A. Pearlmutter. 156-163 [doi]
• Second Order Derivatives for Network Pruning: Optimal Brain SurgeonBabak Hassibi, David G. Stork. 164-171 [doi]
• Directional-Unit Boltzmann MachinesRichard S. Zemel, Christopher K. I. Williams, Michael Mozer. 172-179 [doi]
• Time Warping Invariant Neural NetworksGuo-Zheng Sun, Hsing-Hen Chen, Yee-Chun Lee. 180-187 [doi]
• Generalization Abilities of Cascade Network ArchitectureEnno Littmann, Helge Ritter. 188-195 [doi]
• Assessing and Improving Neural Network Predictions by the Bootstrap AlgorithmGerhard Paass. 196-203 [doi]
• Discriminability-Based Transfer between Neural NetworksLorien Y. Pratt. 204-211 [doi]
• Summed Weight Neuron Perturbation: An O(N) Improvement Over Weight PerturbationBarry Flower, Marwan A. Jabri. 212-219 [doi]
• A Note on Learning Vector QuantizationVirginia R. de Sa, Dana H. Ballard. 220-227 [doi]
• Extended Regularization Methods for Nonconvergent Model SelectionWilliam Finnoff, Ferdinand Hergert, Hans-Georg Zimmermann. 228-235 [doi]
• Synchronization and Grammatical Inference in an Oscillating Elman NetBill Baird, Todd Troyer, Frank H. Eeckman. 236-243 [doi]
• A Fast Stochastic Error-Descent Algorithm for Supervised Learning and OptimizationGert Cauwenberghs. 244-251 [doi]
• Global Regularization of Inverse Kinematics for Redundant ManipulatorsDavid DeMers, Kenneth Kreutz-Delgado. 255-262 [doi]
• Memory-Based Reinforcement Learning: Efficient Computation with Prioritized SweepingAndrew W. Moore, Christopher G. Atkeson. 263-270 [doi]
• Feudal Reinforcement LearningPeter Dayan, Geoffrey E. Hinton. 271-278 [doi]
• Input Reconstruction Reliability EstimationDean Pomerleau. 279-286 [doi]
• Explanation-Based Neural Network Learning for Robot ControlTom M. Mitchell, Sebastian Thrun. 287-294 [doi]
• Reinforcement Learning Applied to Linear Quadratic RegulationSteven J. Bradtke. 295-302 [doi]
• Neural Network On-Line Learning Control of Spacecraft Smart StructuresChristopher Bowman. 303-310 [doi]
• Integration of Visual and Somatosensory Information for Preshaping Hand in Grasping MovementsYoji Uno, Naohiro Fukumura, Ryoji Suzuki, Mitsuo Kawato. 311-318 [doi]
• On Line Estimation of Optimal Control Sequences: HJB EstimatorsJames K. Peterson. 319-326 [doi]
• Learning Control Under Extreme UncertaintyVijaykumar Gullapalli. 327-334 [doi]
• A Practice Strategy for Robot Learning ControlTerence D. Sanger. 335-341 [doi]
• Learning Spatio-Temporal Planning from a Dynamic Programming Teacher: Feed-Forward Neurocontrol for Moving Obstacle AvoidanceGerald Fahner, Rolf Eckmiller. 342-349 [doi]
• Learning Fuzzy Rule-Based Neural Networks for ControlCharles M. Higgins, Rodney M. Goodman. 350-357 [doi]
• Learning to Categorize Objects Using Temporal CoherenceSuzanna Becker. 361-368 [doi]
• Filter Selection Model for Generating Visual Motion SignalsSteven J. Nowlan, Terrence J. Sejnowski. 369-376 [doi]
• Stimulus Encoding by Multidimensional Receptive Fields in Single Cells and Cell Populations in V1 of Awake MonkeyEdward Stern, Ad Aertsen, Eilon Vaadia, Shaul Hochstein. 377-384 [doi]
• The Computation of Stereo Disparity for Transparent and for Opaque SurfacesSuthep Madarasmi, Daniel Kersten, Ting-Chuen Pong. 385-392 [doi]
• Some Solutions to the Missing Feature Problem in VisionSubutai Ahmad, Volker Tresp. 393-400 [doi]
• Improving Convergence in Hierarchical Matching Networks for Object RecognitionJoachim Utans, Gene Gindi. 401-408 [doi]
• A Model of Feedback to the Lateral Geniculate NucleusCarlos D. Brody. 409-416 [doi]
• Unsmearing Visual Motion: Development of Long-Range Horizontal Intrinsic ConnectionsKevin E. Martin, Jonathan A. Marshall. 417-424 [doi]
• Remote Sensing Image Analysis via a Texture Classification Neural NetworkHayit Greenspan, Rodney M. Goodman. 425-432 [doi]
• Computation of Heading Direction from Optic Flow in Visual CortexMarkus Lappe, Josef P. Rauschecker. 433-440 [doi]
• Learning to See Where and What: Training a Net to Make Saccades and Recognize Handwritten CharactersGale Martin, Mosfeq Rashid, David Chapman, James A. Pittman. 441-447 [doi]
• Weight Space Probability Densities in Stochastic Learning: I. Dynamics and EquilibriaTodd K. Leen, John E. Moody. 451-458 [doi]
• Diffusion Approximations for the Constant Step Size Backpropagation Algorithm and Resistance to Local MinimaWilliam Finnoff. 459-466 [doi]
• Self-Organizing Rules for Robust Principal Component AnalysisLei Xu, Alan L. Yuille. 467-474 [doi]
• Bayesian Learning via Stochastic DynamicsRadford M. Neal. 475-482 [doi]
• Information, Prediction, and Query by CommitteeYoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby. 483-490 [doi]
• Synaptic Weight Noise During MLP Learning Enhances Fault-Tolerance, Generalization and Learning TrajectoryAlan F. Murray, Peter J. Edwards. 491-498 [doi]
• Unsupervised Discrimination of Clustered Data via Optimization of Binary Information GainNicol N. Schraudolph, Terrence J. Sejnowski. 499-506 [doi]
• Weight Space Probability Densities in Stochastic Learning: II. Transients and Basin Hopping TimesGenevieve B. Orr, Todd K. Leen. 507-514 [doi]
• Information Theoretic Analysis of Connection Structure from Spike TrainsSatoru Shiono, Satoshi Yamada, Michio Nakashima, Kenji Matsumoto. 515-522 [doi]
• Statistical Mechanics of Learning in a Large Committee MachineHolm Schwarze, John A. Hertz. 523-530 [doi]
• Probability Estimator from a Database Using a Gibbs Energy ModelJohn W. Miller, Rodney M. Goodman. 531-538 [doi]
• On the Use of Evidence in Neural NetworksDavid Wolpert. 539-546 [doi]
• Destabilization and Route to Chaos in Neural Networks with Random ConnectivityBernard Doyon, Bruno Cessac, Mathias Quoy, Manuel Samuelides. 549-555 [doi]
• Predicting Complex Behavior in Sparse Asymmetric NetworksAli A. Minai, William B. Levy. 556-563 [doi]
• Single-Iteration Threshold Hamming NetworksIsaac Meilijson, Eytan Ruppin, Moshe Sipper. 564-571 [doi]
• History-Dependent Attractor Neural NetworksIsaac Meilijson, Eytan Ruppin. 572-579 [doi]
• Non-Linear Dimensionality ReductionDavid DeMers, Garrison W. Cottrell. 580-587 [doi]
• On Learning µ-Perceptron Networks with Binary WeightsMostefa Golea, Mario Marchand, Thomas R. Hancock. 591-598 [doi]
• Neural Network Model Selection Using Asymptotic Jackknife Estimator and Cross-Validation MethodYong Liu. 599-606 [doi]
• Learning Curves, Model Selection and Complexity of Neural NetworksNoboru Murata, Shuji Yoshizawa, Shun-ichi Amari. 607-614 [doi]
• The Power of Approximation: A Comparison of Activation FunctionsBhaskar DasGupta, Georg Schnitger. 615-622 [doi]
• Rational Parametrizations of Neural NetworksUwe Helmke, Robert C. Williamson. 623-630 [doi]
• Learning Cellular Automation Dynamics with Neural NetworksN. H. Wulff, John A. Hertz. 631-638 [doi]
• Some Estimates on the Number of Connections and Hidden Units for Feed-Forward NetworksAdam Kowalczyk. 639-646 [doi]
• Context-Dependent Multiple Distribution Phonetic Modeling with MLPsMichael Cohen, Horacio Franco, Nelson Morgan, David E. Rumelhart, Victor Abrash. 649-657 [doi]
• Physiologically Based Speech SynthesisMakoto Hirayama, Eric Vatikiotis-Bateson, Kiyoshi Honda, Yasuharu Koike, Mitsuo Kawato. 658-665 [doi]
• Analog Cochlear Model for Multiresolution Speech AnalysisWeimin Liu, Andreas G. Andreou, Moise H. Goldstein Jr.. 666-673 [doi]
• A Hybrid Linear/Nonlinear Approach to Channel Equalization ProblemsWei-Tsih Lee, John C. Pearson. 674-681 [doi]
• Modeling Consistency in a Speaker Independent Continuous Speech Recognition SystemYochai Konig, Nelson Morgan, Chuck Wooters, Victor Abrash, Michael Cohen, Horacio Franco. 682-687 [doi]
• Transient Signal Detection with Neural Networks: The Search for the Desired SignalJosé Carlos Príncipe, Abir Zahalka. 688-695 [doi]
• Performance Through Consistency: MS-TDNN s for Large Vocabulary Continuous Speech RecognitionJoe Tebelskis, Alex Waibel. 696-703 [doi]
• A Hybrid Neural Net System for State-of-the-Art Continuous Speech RecognitionGeorge Zavaliagkos, Ying Zhao, Richard M. Schwartz, John Makhoul. 704-711 [doi]
• Connected Letter Recognition with a Multi-State Time Delay Neural NetworkHermann Hild, Alex Waibel. 712-719 [doi]
• Recognition-Based Segmentation of On-Line Hand-Printed WordsMarkus Schenkel, H. Weissman, Isabelle Guyon, C. Nohl, Donnie Henderson. 723-730 [doi]
• Planar Hidden Markov Modeling: From Speech to Optical Character RecognitionEsther Levin, Roberto Pieraccini. 731-738 [doi]
• Forecasting Demand for Electric PowerJen-Lun Yuan, Terrence Fine. 739-746 [doi]
• Hidden Markov Models in Molecular Biology: New Algorithms and ApplicationsPierre Baldi, Yves Chauvin, Tim Hunkapiller, Marcella A. McClure. 747-754 [doi]
• A Neural Network that Learns to Interpret Myocardial Planar Thallium ScintigramsCharles R. Rosenberg, Jacob Erel, Henri Atlan. 755-762 [doi]
• An Analog VLSI Chip for Radial Basis FunctionsJaneen Anderson, John C. Platt, David Kirk. 765-772 [doi]
• Generic Analog Neural Computation - The Epsilon ChipStephen Churcher, Donald J. Baxter, Alister Hamilton, Alan F. Murray, H. Martin Reekie. 773-780 [doi]
• Visual Motion Computation in Analog VLSI Using PulsesRahul Sarpeshkar, Wyeth Bair, Christof Koch. 781-788 [doi]
• Analog VLSI Implementation of Gradient DescentDavid B. Kirch, Douglas Kerns, Kurt W. Fleischer, Alan H. Barr. 789-796 [doi]
• An Object-Oriented Framework for the Simulation of Neural NetworksAlexander Linden, Thomas Sudbrak, Christoph Tietz, F. Weber. 797-804 [doi]
• Attractor Neural Networks with Local Inhibition: From Statistical Physics to a Digitial Programmable Integrated CircuitEros Pasero, Riccardo Zecchina. 805-812 [doi]
• Hybrid Circuits of Interacting Computer Model and Biological NeuronsSylvie Renaud-Le Masson, Gwendal Le Masson, Eve Marder, L. F. Abbott. 813-819 [doi]
• Silicon Auditory Processors as Computer PeripheralsJohn Lazzaro, John Wawrzynek, Misha Mahowald, Massimo Sivilotti, Dave Gillespie. 820-827 [doi]
• Object-Based Analog VLSI Vision CircuitsChristof Koch, Binnal Mathur, Shih-Chii Liu, John G. Harris, Jin Luo, Massimo Sivilotti. 828-835 [doi]
• A Parallel Gradient Descent Method for Learning in Analog VLSI Neural NetworksJoshua Alspector, Ronny Meir, B. Yuhas, Anthony Jayakumar, D. Lippe. 836-844 [doi]
• Harmonic Grammars for Formal LanguagesPaul Smolensky. 847-854 [doi]
• Analogy - Watershed or Waterloo? Structural Alignment and the Development of Connectionist Models of CognitionDedre Gentner, Arthur B. Markman. 855-862 [doi]
• A Connectionist Symbol Manipulator that Discovers the Structure of Context-Free LanguagesMichael Mozer, Sreerupa Das. 863-870 [doi]
• Network Structuring and Training Using Rule-Based KnowledgeVolker Tresp, Jürgen Hollatz, Subutai Ahmad. 871-878 [doi]
• A Dynamical Model of Priming and Repetition BlindnessDaphne Bavelier, Michael I. Jordan. 879-886 [doi]
• A Knowledge-Based Model of Geometry LearningGeoffrey G. Towell, Richard Lehrer. 887-894 [doi]
• Word SpaceHinrich Schütze. 895-902 [doi]
• Perceiving Complex Visual Scenes: An Oscillator Neural Network Model that Integrates Selective Attention, Perceptual Organization, and Invariant RecognitionRainer Goebel. 903-910 [doi]
• Maaping Between Neural and Physical Activities of the Lobster Gastric MillKenji Doya, Mary E. T. Boyle, Allen I. Selverston. 913-920 [doi]
• A Neural Model of Descending Gain Control in the Electrosensory SystemMark E. Nelson. 921-928 [doi]
• Using Hippocampal Plane Cells for Navigation, Exploiting Phase CodingNeil Burgess, John O Keefe, Michael Recce. 929-936 [doi]
• Adaptive Stimulus Representations: A Computational Theory of Hippocampal-Region FunctionsMark A. Gluck, Catherine Myers. 937-944 [doi]
• Statistical Modeling of Cell Assemblies Activities in Associative Cortex of Behaving MonkeysItay Gat, Naftali Tishby. 945-952 [doi]
• Deriving Receptive Fields Using an Optimal Encoding CriterionRalph Linsker. 953-960 [doi]
• Biologically Plausible Local Learning Rules for the Adaptation of the Vestibulo-Ocular ReflexOlivier J. M. D. Coenen, Terrence J. Sejnowski, Stephen G. Lisberger. 961-968 [doi]
• Using Aperiodic Reinforcement for Directed Self-Organization During DevelopmentP. Read Montague, Peter Dayan, Steven J. Nowlan, Terrence J. Sejnowski. 969-976 [doi]
• How Oscillatory Neuronal Responses Reflect Bistability and Switching of the Hidden Assembly DynamicsKlaus Pawelzik, Hans-Ulrich Bauer, J. Deppisch, Theo Geisel. 977-984 [doi]
• Topography and Ocular Dominance with Positive CorrelationsGeoffrey J. Goodhill. 985-992 [doi]
• Statistical and Dynamical Interpretation of ISIH Data from Periodically Stimulated Sensory NeuronsFrank Moss, André Longtin. 993-1000 [doi]
• Spiral Waves in Integrate-and-Fire Neural NetworksJohn G. Milton, Po Hsiang Chu, Jack D. Cowan. 1001-1006 [doi]
• Parametrizing Feature Sensitive Cell Formation in Linsker Networks in the Auditory SystemLance C. Walton, David L. Bisset. 1007-1013 [doi]
• A Recurrent Neural Network for Generation of Occular SaccadesLina Massone. 1014-1021 [doi]
• A Formal Model of the Insect Olfactory Macroglomerulus: Simulations and Analytic ResultsChristiane Linster, David Marsan, Claudine Masson, Michel Kerszberg, Gérard Dreyfus, Léon Personnaz. 1022-1029 [doi]
• An Information-Theoretic Approach to Deciphering the Hippocampal CodeWilliam E. Skaggs, Bruce L. McNaughton, Katalin M. Gothard. 1030-1037 [doi]