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NIPS*1992
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| Title Pages [ps][pdf][djvu] On the Use of Projection Pursuit Constraints for Training Neural Networks Nathan Intrator [ps][pdf][djvu] Hidden Markov Model Induction by Bayesian Model Merging Andreas Stolcke and Stephen Omohundro [ps][pdf][djvu] Computing with Almost Optimal Size Neural Networks Kai-Yeung Siu, Vwani Roychowdhury, and Thomas Kailath [ps][pdf][djvu] Intersecting Regions: The Key to Combinatorial Structure in Hidden Unit Space Janet Wiles and Mark Ollila [ps][pdf][djvu] Holographic Recurrent Networks Tony A. Plate [ps][pdf][djvu] Improving Performance in Neural Networks Using a Boosting Algorithm Harris Drucker, Robert Schapire, and Patrice Simard [ps][pdf][djvu] Efficient Pattern Recognition Using a New Transformation Distance Patrice Simard, Yann Le Cun, and John Denker [ps][pdf][djvu] Optimal Depth Neural Networks for Multiplication and Related Problems Kai-Yeung Siu and Vwani Roychowdhury [ps][pdf][djvu] Using Prior Knowledge in a NNDPA to Learn Context-Free Languages Sreerupa Das, C. Lee Giles, and Guo-Zheng Sun [ps][pdf][djvu] A Method for Learning from Hints Yaser S. Abu-Mostafa [ps][pdf][djvu] Q-Learning with Hidden-Unit Restarting Charles W. Anderson [ps][pdf][djvu] Nets with Unreliable Hidden Nodes Learn Error-Correcting Codes Stephen Judd and Paul W. Munro [ps][pdf][djvu] Interposing an Ontogenic Model Between Genetic Algorithms and Neural Networks Richard K. Belew [ps][pdf][djvu] Combining Neural and Symbolic Learning to Revise Probabilistic Rule Bases J. Jeffrey Mahoney and Raymond J. Mooney [ps][pdf][djvu] Learning Sequential Tasks by Incrementally Adding Higher Orders Mark Ring [ps][pdf][djvu] Kohonen Feature Maps and Growing Cell Structures-a Performance Comparison Bernd Fritzke [ps][pdf][djvu] Metamorphosis Networks: An Alternative to Constructive Models Brian V. Bonnlander and Michael C. Mozer [ps][pdf][djvu] A Boundary Hunting Radial Basis Function Classifier which Allocates Centers Constructively Eric I. Chang and Richard P. Lippmann [ps][pdf][djvu] Automatic Capacity Tuning of Very Large VC-Dimension Classifiers I. Guyon, B. Boser, and V. Vapnik [ps][pdf][djvu] Automatic Learning Rate Maximization in Large Adaptive Machines Yann LeCun, Patrice Y. Simard, and Barak Pearlmutter: [ps][pdf][djvu] Second Order Derivatives for Network Pruning: Optimal Brain Surgeon Babak Hassibi and David G. Stork [ps][pdf][djvu] Directional-Unit Boltzmann Machines Richard S. Zemel, Christopher K. I. Williams, and Michael C. Mozer [ps][pdf][djvu] Time Warping Invariant Neural Networks Guo-Zheng Sun, Hsing-Hen Chen, and Yee-Chun Lee [ps][pdf][djvu] Generalization Abilities of Cascade Network Architecture E. Littmann and H. Ritter [ps][pdf][djvu] Assessing and Improving Neural Network Predictions by the Bootstrap Algorithm Gerhard Paass [ps][pdf][djvu] Discriminability-Based Transfer between Neural Networks L. Y. Pratt [ps][pdf][djvu] Summed Weight Neuron Perturbation: An O(N) Improvement Over Weight Perturbation Barry Flower and Marwan Jabri [ps][pdf][djvu] A Note on Learning Vector Quantization Virginia R. de Sa and Dana H. Ballard [ps][pdf][djvu] Extended Regularization Methods for Nonconvergent Model Selections W. Finnoff, F. Hergert, and H. G. Zimmermann [ps][pdf][djvu] Synchronization and Grammatical Inference in an Oscillating Elman Net Bill Baird, Todd Troyer, and Frank Eeckman [ps][pdf][djvu] A Fast Stochastic Error-Descent Algorithm for Supervised Learning and Optimization Gert Cauwenberghs [ps][pdf][djvu] Global Regularization of Inverse Kinematics for Redundant Manipulators David DeMers and Kenneth Kreutz-Delgado [ps][pdf][djvu] Memory-based Reinforcement Learning: Efficient Computation with Prioritized Sweeping Andrew W. Moore and Christopher G. Atkeson [ps][pdf][djvu] Feudal Reinforcement Learning Peter Dayan and Geoffrey E. Hinton [ps][pdf][djvu] Input Reconstruction Reliability Estimation Dean A. Pomerleau [ps][pdf][djvu] Explanation-based Neural Network Learning for Robot Control Tom M. Mitchell and Sebastian B. Thrun [ps][pdf][djvu] Reinforcement Learning Applied to Linear Quadratic Regulation Steven J. Bradtke [ps][pdf][djvu] Neural Network On-Line Learning Control of Spacecraft Smart Structures Christopher Bowman [ps][pdf][djvu] Integration of Visual and Somatosensory Information for Preshaping Hand in Grasping Movements Yoji Uno, Naohiro Fukumura, Ryoji Suzuki, and Mitsuo Kawato [ps][pdf][djvu] On Line Estimation of Optimal Control Sequences: HJB Estimators James K. Peterson [ps][pdf][djvu] Learning Control Under Extreme Uncertainty Vijaykumar Gullapalli [ps][pdf][djvu] A Practice Strategy for Robot Learning Control Terence D. Sanger [ps][pdf][djvu] Learning Spatio-Temporal Planning from a Dynamic Programming Teacher: Feed-Forward Neurocontrol for Moving Obstacle Avoidance Gerald Fahner and Rolf Eckmiller [ps][pdf][djvu] Learning Fuzzy Rule-Based Neural Networks for Control Charles M. Higgins and Rodney M. Goodman [ps][pdf][djvu] Learning to Categorize Objects Using Temporal Coherence Suzanna Becker [ps][pdf][djvu] Filter Selection Model for Generating Visual Motion Signals Steven J. Nowlan and Terrence J. Sejnowski [ps][pdf][djvu] Stimulus Encoding By Multidimensional Receptive Fields in Single Cells and Cell Populations in V1 of Awake Monkey Edward Stern, Ad Aertsen, Eilon Vaadia, and Shaul Hochstein [ps][pdf][djvu] The Computation of Stereo Disparity for Transparent and for Opaque Surfaces Suthep Madarasmi, Daniel Kersten, and Ting-Chuen Pong [ps][pdf][djvu] Some Solutions to the Missing Feature Problem in Vision Subutai Ahmad and Volker Tresp [ps][pdf][djvu] Improving Convergence in Hierarchical Matching Networks for Object Recognition Joachim Utans and Gene Gindi [ps][pdf][djvu] A Model of Feedback to the Lateral Geniculate Nucleus Carlos D. Brody [ps][pdf][djvu] Unsmearing Visual Motion: Development of Long-Range Horizontal Intrinsic Connections Kevin E. Martin and Jonathan A. Marshall [ps][pdf][djvu] Remote Sensing Image Analysis via a Texture Classification Neural Network Hayit K. Greens pan and Rodney Goodman [ps][pdf][djvu] Computation of Heading Direction from Optic Flow in Visual Cortex Markus Lappe and Josef P. Rauschecker [ps][pdf][djvu] Learning to See Where and What: Training a Net to Make Saccades and Recognize Handwritten Characters Gale Martin, Mosfeq Rashid, David Chapman, and James Pittman [ps][pdf][djvu] Weight Space Probability Densities in Stochastic Learning: I. Dynamics and Equilibria Todd K. Leen and John E. Moody [ps][pdf][djvu] Diffusion Approximations for the Constant Step Size Backpropogation Algorithm and Resistance to Local Minima William Finnoff [ps][pdf][djvu] Self-Organizing Rules for Robust Principal Component Analysis Lei Xu and Alan Yuille [ps][pdf][djvu] Bayesian Learning via Stochastic Dynamics Radford M. Neal [ps][pdf][djvu] Information, Prediction, and Query by Committee Yoav Freund, H. Sebastian Seung, Eli Shamir, and Naftali Tishby [ps][pdf][djvu] Synaptic Weight Noise During MLP Learning Enhances Fault-Tolerance, Generalization and Learning Trajectory Alan F. Murray and Peter J. Edwards [ps][pdf][djvu] Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain Nicol N. Schraudolph and Terrence J. Sejnowski [ps][pdf][djvu] Weight Space Probability Densities in Stochastic Learning: II. Transients and Basin Hopping Times Genevieve B. Orr and Todd K. Leen [ps][pdf][djvu] Information Theoretic Analysis of Connection Structure from Spike Trains Satoru Shiono, Satoshi Yamada, Michio Nakashima, and Kenji Matsumoto [ps][pdf][djvu] Statistical Mechanics of Learning in a Large Committee Machine Hoim Schwarze and John Hertz [ps][pdf][djvu] Probability Estimation from a Database Using a Gibbs Energy Model John Miller and Rodney M. Goodman [ps][pdf][djvu] On the Use of Evidence in Neural Networks David H. Wolpert [ps][pdf][djvu] Destabilization and Route to Chaos in Neural Networks with Random Connectivity Bernard Doyon, Bruno Cessac, Mathias Quoy, and Manuel Samuelides [ps][pdf][djvu] Predicting Complex Behavior in Sparse Asymmetric Networks Au A. Minai and William B. Levy [ps][pdf][djvu] Single-iteration Threshold Hamming Networks Isaac Meilijson, Eytan Ruppin, and Moshe Sipper [ps][pdf][djvu] History-dependent Attractor Neural Networks Isaac Meilijson and Eytan Ruppin [ps][pdf][djvu] Non-Linear Dimensionality Reduction David DeMers and Garrison Cottrell [ps][pdf][djvu] On Learning µ-Perceptron Networks with Binary Weights Mostefa Golea, Mario Marchand, and Thomas R. Hancock [ps][pdf][djvu] Neural Network Model Selection Using Asymptotic Jackknife Estimator and Cross-Validation Method Yong Liu [ps][pdf][djvu] Learning Curves, Model Selection and Complexity of Neural Networks Noboru Murata, Shuji Yoshizawa, and Shun-ichi Amari [ps][pdf][djvu] The Power of Approximating: A Comparison of Activation Functions Bhaskar Das Gupta and Georg Schnitger [ps][pdf][djvu] Rational Parameterizations of Neural Networks Uwe Helmke and Robert C. Williamson [ps][pdf][djvu] Learning Cellular Automaton Dynamics with Neural Networks N. H. Wulff and J. A. Hertz [ps][pdf][djvu] Some Estimates of Necessary Number of Connections and Hidden Units for Feed-Forward Networks Adam Kowalczyk [ps][pdf][djvu] Context-Dependent Multiple Distribution Phonetic Modeling with MLPs Michael Cohen, Horacio Franco, Nelson Morgan, David Rumelhart, and Victor Abrash [ps][pdf][djvu] Physiologically Based Speech Synthesis Makoto Hirayama, Eric Vatikiotis-Bateson, Kiyoshi Honda, Yasuharu Koike, and Misuo Kawato [ps][pdf][djvu] Analog Cochlear Model for Multiresolution Speech Analysis Weimin Liu, Andreas G. Andreou, and Moise H. Goldstein Jr. [ps][pdf][djvu] A Hybrid Linear/Nonlinear Approach to Channel Equilization Problems Wei-Tsih Lee and John Pearson [ps][pdf][djvu] Modeling Consistency in a Speaker Independent Continuous Speech Recognition System Yochai Konig, Nelson Morgan, Chuck Wooters, Victor Abrash, Michael Cohen, and Horacio Franco [ps][pdf][djvu] Transient Signal Detection with Neural Networks: The Search for the Desired Signal Jose C. Principe and Abir Zahalka [ps][pdf][djvu] Performance Through Consistency: MS-TDNN's for Large Vocabulary Continuous Speech Recognition Joe Tebelskis and Alex Waibel [ps][pdf][djvu] A Hybrid Neural Net System for State-of-the-Art Continuous Speech Recognition George Zavaliagkos, Y. Zhao, R. Schwartz, and J. Makhoul [ps][pdf][djvu] Connected Letter Recognition with a Multi-State Time Delay Neural Network Hermann Hild and Alex Waibel [ps][pdf][djvu] Recognition-Based Segmentation of On-line Hand-Printed Words M. Schenkel, H. Weissman, I. Guyon, C. Nohl, and D. Henderson [ps][pdf][djvu] Planar Hidden Markov Modeling: from Speech to Optical Character Recognition Esther Levin and Roberto Pieraccini [ps][pdf][djvu] Forecasting Demand for Electric Power Jen-Lun Yuan and Terrence L. Fine [ps][pdf][djvu] Hidden Markov Models in Molecular Biology: New Algorithms and Applications Pierre Baldi, Yves Chauvin, Tim Hunkapiller, and Marcella A. McClure [ps][pdf][djvu] A Neural Network that Learns to Interpret Myocardial Planar Thallium Scintigrams Charles Rosenberg, Jacob Erel, and Henri Atlan [ps][pdf][djvu] An Analog VLSI Chip for Radial Basis Functions Janeen Anderson, John C. Platt, and David B. Kirk [ps][pdf][djvu] Generic Analog Neural Computation-The Epsilon Chip Stephen Churcher, Donald J. Baxter, Alister Hamilton, Alan F. Murray, and H. Martin Reekie [ps][pdf][djvu] Visual Motion Computation in Analog VLSI using Pulses Rahul Sarpeshkar, Wyeth Bair, and Christof Koch [ps][pdf][djvu] Analog VLSI Implementation of Gradient Descent David B. Kirk, Douglas Kerns, Kurt Fleischer, and Alan H. Barr [ps][pdf][djvu] An Object-Oriented Framework for the Simulation of Neural Networks A. Linden, Th. Sudbrak, Ch. Tietz, and F. Weber [ps][pdf][djvu] Attractor Neural Networks with Local Inhibition: from Statistical Physics to a Digital Programmable Integrated Circuit E. Pasero and R. Zecchina [ps][pdf][djvu] Hybrid Circuits of Interacting Computer Model and Biological Neurons Sylvie Renaud-LeMasson, Gwendal LeMasson, Eve Marder, and L. F. Abbot [ps][pdf][djvu] Silicon Auditory Processors as Computer Peripherals John Lazzaro, John Wawrzynek, M. Mahowald, Massimo Sivilotti, and Dave Gillespie [ps][pdf][djvu] Object-Based Analog VLSI Vision Circuits Christof Koch, Bimal Mathur, Shih-Chii Liu, John G. Harris, Jin Luo, and Massimo Sivilotti [ps][pdf][djvu] A Parallel Gradient Descent Method for Learning in Analog VLSI Neural Networks J. Alspector, R. Meir, B. Yuhas, A. Jayakumar, and D. Lippe [ps][pdf][djvu] Harmonic Grammars for Formal Languages Paul Smolensky [ps][pdf][djvu] Analogy-Watershed or Waterloo? Structural Alignment and the Development of Connectionist Models of Cognition Dedre Gentner and Arthur B. Markman [ps][pdf][djvu] A Connectionist Symbol Manipulator that Discovers the Structure of Context-Free Languages Michael C. Mozer and Sreerupa Das [ps][pdf][djvu] Network Structuring and Training Using Rule-based Knowledge Volker Tresp, Jurgen Hollatz, and Subutai Ahmad [ps][pdf][djvu] A Dynamical Model of Priming and Repetition Blindness Daphne Bavelier and Michael I. Jordan [ps][pdf][djvu] A Knowledge-Based Model of Geometry Learning Geoffrey Towell and Richard Lehrer [ps][pdf][djvu] Word Space Hinrich Schutze [ps][pdf][djvu] Perceiving Complex Visual Scenes: An Oscillator Neural Network Model that Integrates Selective Attention, Perceptual Organisation, and Invariant Recognition Rainer Goebel [ps][pdf][djvu] Mapping Between Neural and Physical Activities of the Lobster Gastric Mill Kenji Doya, Mary E. T. Boyle, and Allen I. Selverston [ps][pdf][djvu] A Neural Model of Descending Gain Control in the Electrosensory System Mark E. Nelson [ps][pdf][djvu] Using Hippocampal 'Place Cells' for Navigation, Exploiting Phase Coding Neil Burgess, John O'Keefe, and Michael Recce [ps][pdf][djvu] Adaptive Stimulus Representations: A Computational Theory of Hippocampal-Region Function Mark A. Gluck and Catherine E. Myers [ps][pdf][djvu] Statistical Modeling of Cell-Assemblies Activities in Associative Cortex of Behaving Monkeys Itay Gat and Naftali Tishby [ps][pdf][djvu] Deriving Receptive Fields Using an Optimal Encoding Criterion Ralph Linsker [ps][pdf][djvu] Biologically Plausible Local Learning Rules for the Adaptation of the Vestibulo-Ocular Reflex Olivier Coenen, Terrence J. Sejnowski, and Stephen G. Lisberger [ps][pdf][djvu] Using Aperiodic Reinforcement for Directed Self-Organization During Development P. R. Montague, P. Dayan, S. J. Nowlan, and T J. Sejnowski [ps][pdf][djvu] How Oscillatory Neuronal Responses Reflect Bistability and Switching of the Hidden Assembly Dynamics K. Pawelzik, H.-U. Bauer, J. Deppisch, and I Geisel [ps][pdf][djvu] Topography and Ocular Dominance with Positive Correlations Geoffrey J. Goodhill [ps][pdf][djvu] Statistical and Dynamical Interpretation of ISIH Data from Periodically Stimulated Sensory Neurons Frank Moss and Andre Longtin [ps][pdf][djvu] Spiral Waves in Integrate-and-Fire Neural Networks John G. Milton, Po Hsiang Chu, and Jack D. Cowan [ps][pdf][djvu] Parameterising Feature Sensitive Cell Formation in Linsker Networks in the Auditory System Lance C. Walton and David L. Bisset [ps][pdf][djvu] A Recurrent Neural Network for Generation of Occular Saccades Lina E. Massone [ps][pdf][djvu] A Formal Model of the Insect Olfactory Macroglomerulus: Simulations and Analytic Results Christiane Linster, David Marsan, Claudine Masson, Michel Kerszberg, Gerard Dreyfus, and Leon Personnaz [ps][pdf][djvu] An Information-Theoretic Approach to Deciphering the Hippocampal Code William E. Skaggs, Bruce L. McNaughton, and Katalin M. Gothard [ps][pdf][djvu] Author Index [ps][pdf][djvu] Subject Index [ps][pdf][djvu] |