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NIPS*1990
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| Title Pages [ps][pdf][djvu] Studies of a Model for the Development and Regeneration of Eye-Brain Maps J.D. Cowan and A.E. Friedman [ps][pdf][djvu] Development and Spatial Structure of Cortical Feature Maps: A Model Study K. Obermayer, H. Ritter, and K. Schulten [ps][pdf][djvu] Interaction Among Ocularity, Retinotopy and On-center/Off-center Pathways Shigeru Tanaka [ps][pdf][djvu] Simple Spin Models for the Development of Ocular Dominance Columns and Iso-Orientation Patches J.D. Cowan and A.E. Friedman [ps][pdf][djvu] A Recurrent Neural Network Model of Velocity Storage in the Vestibulo-Ocular Reflex Thomas J. Anastasio [ps][pdf][djvu] Self-organization of Hebbian Synapses in Hippocampal Neurons Thomas H. Brown, Zachary F. Mainen, Anthony M. Zador, and Brenda J. Claiborne [ps][pdf][djvu] Cholinergic Modulation May Enhance Cortical Associative Memory Function Michael E. Hasselmo, Brooke P. Anderson, and James M. Bower [ps][pdf][djvu] Order Reduction for Dynamical Systems Describing the Behavior of Complex Neurons Thomas B. Kepler, L.F. Abbott, and Eve Marder [ps][pdf][djvu] Stochastic Neurodynamics J.D. Cowan [ps][pdf][djvu] Dynamics of Learning in Recurrent Feature-Discovery Networks Todd K. Leen [ps][pdf][djvu] A Lagrangian Approach to Fixed Points Eric Mjolsness and Willard L. Miranker [ps][pdf][djvu] Associative Memory in a Network of 'Biological' Neurons Wulfram Gerstner [ps][pdf][djvu] CAM Storage of Analog Patterns and Continuous Sequences with 3N 2 Weight Bill Baird and Frank Eeckman [ps][pdf][djvu] Connection Topology and Dynamics in Lateral Inhibition Networks C.M. Marcus, F.R. Waugh, and R.M. Westervelt [ps][pdf][djvu] Shaping the State Space Landscape in Recurrent Networks Patrice Y. Simard, Jean Pierre Raysz, and Bernard Victorri [ps][pdf][djvu] Adjoint-Functions and Temporal Learning Algorithms in Neural Networks N. Toomarian and J. Barhen [ps][pdf][djvu] Phase-coupling in Two-Dimensional Networks of Interacting Oscillators Ernst Niebur, Daniel M. Kammen, Christof Koch, Daniel Ruderman, and Heinz G. Schuster [ps][pdf][djvu] Oscillation Onset in Neural Delayed Feedback Andre Longtin [ps][pdf][djvu] Analog Computation at a Critical Point Leonid Kruglyak and William Bialek [ps][pdf][djvu] Modeling Time Varying Systems Using Hidden Control Neural Architecture Esther Levin [ps][pdf][djvu] The Tempo 2 Algorithm: Adjusting Time-Delays By Supervised Learning Ulrich Bodenhausen and Alex Waibel [ps][pdf][djvu] A Theory for Neural Networks with Time Delays Bert de Vries and Jose C. Principe [ps][pdf][djvu] ART2/BP Architecture for Adaptive Estimation of Dynamic Processes Einar Sorheim [ps][pdf][djvu] Statistical Mechanics of Temporal Association in Neural Networks Andreas V.M. Herz, Zhaoping Li, and J. Leo van Hemmen [ps][pdf][djvu] Learning Time-varying Concepts Anthony Kuh, Thomas Petsche, and Ronald L. Rivest [ps][pdf][djvu] The Recurrent Cascade-Correlation Architecture Scott E. Fahlman [ps][pdf][djvu] Continuous Speech Recognition by Linked Predictive Neural Networks Joe Tebelskis, Alex Waibel, Bojan Petek, and Otto Schmidbauer [ps][pdf][djvu] A Recurrent Neural Network for Word Identification from Continuous Phoneme Strings Robert B. Allen and Candace A. Kamm [ps][pdf][djvu] Connectionist Approaches to the Use of Markov Models for Speech Recognition Herve Bourlard, Nelson Morgan, and Chuck Wooters [ps][pdf][djvu] Spoken Letter Recognition Mark Fanty and Ronald Cole [ps][pdf][djvu] Speech Recognition Using Demi-Syllable Neural Prediction Model Ken-ichi Iso and Takao Watanabe [ps][pdf][djvu] RecNorm: Simultaneous Normalisation and Classification Applied to Speech Recognition John S. Bridle and Stephen J. Cox [ps][pdf][djvu] Exploratory Feature Extraction in Speech Signals Nathan Intrator [ps][pdf][djvu] Phonetic Classification and Recognition Using the Multi-Layer Perceptron Hong C. Leung, James R. Glass, Michael S. Phillips, and Victor W. Zue [ps][pdf][djvu] From Speech Recognition to Spoken Language Understanding Victor Zue, James Glass, David Goodine, Lynette Hirschman, Hong Leung, Michael Phillips, Joseph Polifroni, and Stephanie Seneff [ps][pdf][djvu] Speech Recognition using Connectionist Approaches Khalid Choukri [ps][pdf][djvu] Natural Dolphin Echo Recognition Using an Integrator Gateway Network Herbert L. Roitblat, Patrick W.B. Moore, Paul E. Nachtigall, and Ralph H. Penner [ps][pdf][djvu] Signal Processing by Multiplexing and Demultiplexing in Neurons David C. Tam [ps][pdf][djvu] Applications of Neural Networks in Video Signal Processing John C. Pearson, Clay D. Spence, and Ronald Sverdlove [ps][pdf][djvu] Discovering Viewpoint-Invariant Relationships That Characterize Objects Richard S. Zemel and Geoffrey E. Hinton [ps][pdf][djvu] A Neural Network Approach for Three-Dimensional Object Recognition Volker Tresp [ps][pdf][djvu] A Second-Order Translation, Rotation and Scale Invariant Neural Network Shelly D.D. Goggin, Kristina M. Johnson, and Karl E. Gustafson [ps][pdf][djvu] Learning to See Rotation and Dilation with a Hebb Rule Martin I. Sereno and Margaret E. Sereno [ps][pdf][djvu] Stereopsis by a Neural Network Which Learns the Constraints Alireza Khotanzad and Ying-Wung Lee [ps][pdf][djvu] Grouping Contours by Iterated Pairing Network Amnon Shashua and Shimon Uliman [ps][pdf][djvu] Neural Dynamics of Motion Segmentation and Grouping Ennio Mingolla [ps][pdf][djvu] A Multiscale Adaptive Network Model of Motion Computation in Primates H. Taichi Wang, Bimal Mathur, and Christof Koch [ps][pdf][djvu] Qualitative Structure From Motion Daphna Weinshall [ps][pdf][djvu] Optimal Sampling of Natural Images William Bialek, Daniel L. Ruderman, and A. Zee [ps][pdf][djvu] A VLSI Neural Network for Color Constancy Andrew Moore, John Allman, Geoffrey Fox, and Rodney Goodman [ps][pdf][djvu] Optimal Filtering in the Salamander Retina Fred Rieke, W. Geoffrey Owen, and William Bialek [ps][pdf][djvu] A Four Neuron Circuit Accounts for Change Sensitive Inhibition in Salamander Retina Jeffrey L. Teeters, Frank H. Eeckman, and Frank S. Werblin [ps][pdf][djvu] Feedback Synapse to Cone and Light Adaptation Josef Skrzypek [ps][pdf][djvu] An Analog VLSI Chip for Finding Edges from Zero-crossings Wyeth Bair and Christof Koch [ps][pdf][djvu] A Delay-Line Based Motion Detection Chip Tim Horiuchi, John Lazzaro, Andrew Moore, and Christof Koch [ps][pdf][djvu] Neural Networks Structured for Control Application to Aircraft Landing Charles Schley, Yves Chauvin, Van Henkle, and Richard Golden [ps][pdf][djvu] Real-time Autonomous Robot Navigation Using VLSI Neural Networks Lionel Tarassenko, Michael Brownlow, Gillian Marshall, Jon Tombs, and Alan Murray [ps][pdf][djvu] Rapidly Adapting Artificial Neural Networks for Autonomous Navigation Dean A. Pomerleau [ps][pdf][djvu] Learning Trajectory and Force Control of an Artificial Muscle Arm Masazumi Katayama and Mitsuo Kawato [ps][pdf][djvu] Proximity Effect Corrections in Electron Beam Lithography Robert C. Frye, Kevin D. Cummings, and Edward A. Reitman [ps][pdf][djvu] Planning with an Adaptive World Model Sebastian B. Thrun, Knut Moller, and Alexander Linden [ps][pdf][djvu] A Connectionist Learning Control Architecture for Navigation Jonathan R. Bachrach [ps][pdf][djvu] Navigating Through Temporal Difference Peter Dayan [ps][pdf][djvu] Integrated Modeling and Control Based on Reinforcement Learning Richard S. Sutton [ps][pdf][djvu] A Reinforcement Learning Variant for Control Scheduling Aloke Guha [ps][pdf][djvu] Adaptive Range Coding Bruce E. Rosen, James M. Goodwin, and Jacques J. Vidal [ps][pdf][djvu] Neural Network Implementation of Admission Control Rodolfo A. Milito, Isabelle Guyon, and Sara A. Solla [ps][pdf][djvu] Reinforcement Learning in Markovian and Non-Markovian Environments Jurgen Schmidhuber [ps][pdf][djvu] A Model of Distributed Sensorimotor Control in The Cockroach Escape Turn R.D. Beer, G.J. Kacmarcik, R.E. Ritzmann, and H.J. Chiel [ps][pdf][djvu] Flight Control in the Dragonfly: A Neurobiological Simulation William E. Falter and Marvin W. Luttges [ps][pdf][djvu] A Novel Approach to Prediction of the 3-Dimensional Structures Henrik Fredholm, Henrik Bohr, Jakob Bohr, Soren Brunak, Rodney M.J. Cotterill, Benny Lautrup, and Steffen B. Petersen [ps][pdf][djvu] Training Knowledge-Based Neural Networks to Recognize Genes Michiel O. Noordewier, Geoffrey G. Towell, and Jude W. Shavlik [ps][pdf][djvu] Neural Network Application to Diagnostics Kenneth A. Marko [ps][pdf][djvu] Lg Depth Estimation and Ripple Fire Characterization John L. Perry and Douglas R. Baumgardt [ps][pdf][djvu] A B-P ANN Commodity Trader Joseph E. Collard [ps][pdf][djvu] Integrated Segmentation and Recognition of Hand-Printed Numerals James D. Keeler, David E. Rumelhart, and Wee-Kheng Leow [ps][pdf][djvu] EMPATH: Face, Emotion, and Gender Recognition Using Holons Garrison W. Cottrell and Janet Metcalfe [ps][pdf][djvu] SEXNET: A Neural Network Identifies Sex From Human Faces B.A. Golomb, D.T. Lawrence, and T.J. Sejnowski [ps][pdf][djvu] A Neural Expert System with Automated Extraction of Fuzzy If-Then Rules Yoichi Hayashi [ps][pdf][djvu] Analog Neural Networks as Decoders Ruth Erlanson and Yaser Abu-Mostafa [ps][pdf][djvu] Distributed Recursive Structure Processing Geraldine Legendre, Yoshiro Miyata, and Paul Smolensky [ps][pdf][djvu] Translating Locative Prepositions Paul W. Munro and Mary Tabasko [ps][pdf][djvu] A Short-Term Memory Architecture for the Learning of Morphophonemic Rules Michael Gasser and Chan-Do Lee [ps][pdf][djvu] Exploiting Syllable Structure in a Connectionist Phonology Model David S. Touretzky and Deirdre W. Wheeler [ps][pdf][djvu] Language Induction by Phase Transition in Dynamical Recognizers Jordan B. Pollack [ps][pdf][djvu] Discovering Discrete Distributed Representations Michael C. Mozer [ps][pdf][djvu] Direct Memory Access Using Two Cues Janet Wiles, Michael S. Humphreys, John D. Bain, and Simon Dennis [ps][pdf][djvu] An Attractor Neural Network Model of Recall and Recognition Eytan Ruppin and Yechezkel Yeshurun [ps][pdf][djvu] ALCOVE: A Connectionist Model of Human Category Learning John K. Kruschke [ps][pdf][djvu] Spherical Units as Dynamic Consequential Regions Stephen Jose Hanson and Mark A. Gluck [ps][pdf][djvu] Connectionist Implementation of a Theory of Generalization Roger N. Shepard and Sheila Kannappan [ps][pdf][djvu] Adaptive Spline Networks Jerome H. Friedman [ps][pdf][djvu] Multi-Layer Perceptrons with B-Spline Receptive Field Functions Stephen H. Lane, Marshall G. Flax, David A. Handelman, and Jack J. Gelfand [ps][pdf][djvu] Bumptrees for Efficient Function, Constraint, and Classification Learning Stephen M. Omohundro [ps][pdf][djvu] Basis-Function Trees as a Generalization of Local Variable Selection Methods Terence D. Sanger [ps][pdf][djvu] Generalization Properties of Radial Basis Functions Sherif M. Botros and Christopher G. Atkeson [ps][pdf][djvu] Learning by Combining Memorization and Gradient Descent John C. Platt [ps][pdf][djvu] Sequential Adaptation of Radial Basis Function Neural Networks V. Kadirkamanathan, M. Niranjan, and F. Fallside [ps][pdf][djvu] Oriented Non-Radial Basis Functions for Image Coding and Analysis Avijit Saha, Jim Christian, D.S. Tang, and Chuan-Lin Wu [ps][pdf][djvu] Computing with Arrays of Bell-Shaped and Sigmoid Functions Pierre Baldi [ps][pdf][djvu] Discrete Affine Wavelet Transforms Y.C. Pati and P.S. Krishnaprasad [ps][pdf][djvu] Extensions of a Theory of Networks for Approximation and Learning Federico Girosi, Tomaso Poggio, and Bruno Caprile [ps][pdf][djvu] How Receptive Field Parameters Affect Neural Learning Bartlett W. Mel and Stephen M. Omohundro [ps][pdf][djvu] A Competitive Modular Connectionist Architecture Robert A. Jacobs and Michael I. Jordan [ps][pdf][djvu] Evaluation of Adaptive Mixtures of Competing Experts Steven J. Nowlan and Geoffrey E. Hinton [ps][pdf][djvu] A Framework for the Cooperation of Learning Algorithms Leon Bottou and Patrick Gallinari [ps][pdf][djvu] Connectionist Music Composition Based on Melodic and Stylistic Constraints Michael C. Mozer and Todd Soukup [ps][pdf][djvu] Using Genetic Algorithms to Improve Pattern Classification Performance Eric I. Chang and Richard P. Lippmann [ps][pdf][djvu] Evolution and Learning in Neural Networks Ron Keesing and David G. Stork [ps][pdf][djvu] Designing Linear Threshold Based Neural Network Pattern Classifiers Terrence L. Fine [ps][pdf][djvu] On Stochastic Complexity and Admissible Models for Neural Network Classifiers Padhraic Smyth [ps][pdf][djvu] Efficient Design of Boltzmann Machines Ajay Gupta and Wolfgang Maass [ps][pdf][djvu] Note on Learning Rate Schedules for Stochastic Optimization Christian Darken and John Moody [ps][pdf][djvu] Convergence of a Neural Network Classifier John S. Baras and Anthony LaVigna [ps][pdf][djvu] Learning Theory and Experiments with Competitive Networks Griff L. Bilbro and David E. Van den Bout [ps][pdf][djvu] Transforming Neural-Net Output Levels to Probability Distributions John S. Denker and Yann leCun [ps][pdf][djvu] Back Propagation is Sensitive to Initial Conditions John F. Kolen and Jordan B. Pollack [ps][pdf][djvu] Closed-Form Inversion of Backpropagation Networks Michael L. Rossen [ps][pdf][djvu] Generalization by Weight-Elimination with Application to Forecasting Andreas S. Weigend, David E. Rumelhart, and Bernardo A. Huberman [ps][pdf][djvu] The Devil and the Network Sanjay Biswas and Santosh S. Venkatesh [ps][pdf][djvu] Generalization Dynamics in LMS Trained Linear Networks Yves Chauvin [ps][pdf][djvu] Dynamics of Generalization in Linear Perceptrons Anders Krogh and John A. Hertz [ps][pdf][djvu] Constructing Hidden Units Using Examples and Queries Eric B. Baum and Kevin J. Lang [ps][pdf][djvu] Can Neural Networks do Better Than the Vapnik-Chervonenkis Bounds? David Cohn and Gerald Tesauro [ps][pdf][djvu] Second Order Properties of Error Surfaces Yann Le Cun, Ido Kanter, and Sara A. Solla [ps][pdf][djvu] Chaitin-Kolmogorov Complexity and Generalization in Neural Networks Barak A. Pearlmutter and Ronald Rosenfeld [ps][pdf][djvu] Asymptotic Slowing Down of the Nearest-Neighbor Classifier Robert R. Snapp, Demetri Psaltis, and Santosh S. Venkatesh [ps][pdf][djvu] Remarks on Interpolation and Recognition Using Neural Nets Eduardo D. Sontag [ps][pdf][djvu] E-Entropy and the Complexity of Feedforward Neural Networks Robert C. Williamson [ps][pdf][djvu] On The Circuit Complexity of Neural Networks V.P. Roychowdhury, A. Orlitsky, K.Y. Siu, and T. Kailath [ps][pdf][djvu] Comparison of Three Classification Techniques, CART, C4.5 and Multi-Layer Perceptrons A.C. Tsoi and R.A. Pearson [ps][pdf][djvu] Practical Characteristics of Neural Network and Conventional Pattern Classifiers Kenney Ng and Richard P. Lippmann [ps][pdf][djvu] Time Trials on Second-Order and Variable-Learning-Rate Algorithms Richard Rohwer [ps][pdf][djvu] Kohonen Networks and Clustering Wesley Snyder, Daniel Nissman, David Van den Bout, and Griff Bilbro [ps][pdf][djvu] VLSI Implementations of Learning and Memory Systems Mark A. Holler [ps][pdf][djvu] Compact EEPROM-based Weight Functions A. Kramer, C.K. Sin, R. Chu, and P.K. Ko [ps][pdf][djvu] An Analog VLSI Splining Network Daniel B. Schwartz and Vijay K. Samalam [ps][pdf][djvu] Relaxation Networks for Large Supervised Learning Problems Joshua Alspector, Robert B. Allen, Anthony Jayakumar, Torsten Zeppenfeld, and Ronny Meir [ps][pdf][djvu] Design and Implementation of a High Speed CMAC Neural Network W. Thomas Miller, III, Brian A. Box, Erich C. Whitney, and James M. Glynn [ps][pdf][djvu] Back Propagation Implementation Hal McCartor [ps][pdf][djvu] Reconfigurable Neural Net Chip with 32K Connections H.P. Graf, R. Janow, D. Henderson, and R. Lee [ps][pdf][djvu] Simulation of the Neocognitron on a CCD Parallel Processing Architecture Michael L. Chuang and Alice M. Chiang [ps][pdf][djvu] VLSI Implementation of TInMANN Matt Melton, Tan Phan, Doug Reeves, and Dave Van den Bout [ps][pdf][djvu] Subject Index [ps][pdf][djvu] Author Index [ps][pdf][djvu] |