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NIPS*1988 |
| Contents [ps][pdf][djvu] Constraints on Adaptive Networks for Modeling Human Generalization Mark A. Gluck, M. Pavel and Van Henkle [ps][pdf][djvu] An Optimality Principle for Unsupervised Learning Terence D. Sanger [ps][pdf][djvu] Associative Learning via Inhibitory Search David H. Ackley [ps][pdf][djvu] Fast Learning in Multi-Resolution Hierarchies John Moody [ps][pdf][djvu] Efficient Parallel Learning Algorithms for Neural Networks Alan H. Kramer and A. Sangiovanni-Vincentelli [ps][pdf][djvu] Mapping Classifier Systems Into Neural Networks Lawrence Davis [ps][pdf][djvu] Self Organizing Neural Networks for the Identification Problem Manoel Fernando Tenorio and Wei-Tsih Lee [ps][pdf][djvu] Linear Learning: Landscapes and Algorithms Pierre Baldi [ps][pdf][djvu] Learning by Choice of Internal Representations Tal Grossman, Ronny Meir and Eytan Domany [ps][pdf][djvu] What Size Net Gives Valid Generalization? Eric B. Baum and David Haussler [ps][pdf][djvu] Optimization by Mean Field Annealing GriffBilbro, Reinhold Mann, Thomas K Miller, Wesley E. Snyder, David E. Van den Bout and Mark Whita [ps][pdf][djvu] Connectionist Learning of Expert Preferences by Comparison Training Gerald Tesauro [ps][pdf][djvu] Skeletonization: A Technique for Trimming the Fat from a Network via Relevance Assessment Michael C. Mozer and Paul Smolensky [ps][pdf][djvu] The Boltzmann Perceptron Network: A Multi-Layered Feed-Forward Network Equivalent to the Boltzmann Machine Eyal Yair and Allen Gersho [ps][pdf][djvu] Adaptive Neural Net Preprocessing for Signal Detection in Non-Gaussian Noise Richard P. Lippmann and Paul Beckman [ps][pdf][djvu] Training Multilayer Perceptrons with the Extended Kalman Algorithm Sizarad Singhal and Lance Wu [ps][pdf][djvu] GEMINI: Gradient Estimation Through Matrix Inversion After Noise Injection Yann Le Cun, Conrad C. Galland and Geoffrey E. Hinton [ps][pdf][djvu] Fixed Point Analysis for Recurrent Networks Patrice Y. Simard, Mary B. Ottaway and Dana H. Ballard [ps][pdf][djvu] Scaling and Generalization in Neural Networks: A Case Study Subutai Ahmad and Gerald Tesauro [ps][pdf][djvu] Does the Neuron Raoul Tawel [ps][pdf][djvu] Comparing Biases for Minimal Network Construction with Back-Propagation Stephen Jose Hanson and Lorien Y. Pratt [ps][pdf][djvu] An Application of the Principle of Maximum Information Preservation to Linear Systems Ralph Linsker [ps][pdf][djvu] Learning with Temporal Derivatives in Pulse-Coded Neuronal Systems David B. Parker, Mark Gluck and Eric S. Reifsnider [ps][pdf][djvu] Applications of Error Back-Propagation to Phonetic Classification Hong C. Leung and Victor W. Zue [ps][pdf][djvu] Consonant Recognition by Modular Construction of Large Phonemic Time-Delay Neural Networks Alex Waibel [ps][pdf][djvu] Use of Multi-Layered Networks for Coding Speech with Phonetic Features Yoshua Bengio, Regis Cardin, Renato De Mori and Piero Cosi [ps][pdf][djvu] Speech Production Using A Neural Network with a Cooperative Learning Mechanism Mitsuo Komura and Akio Tanaka [ps][pdf][djvu] Temporal Representations in a Connectionist Speech System Erich J. Smythe [ps][pdf][djvu] A Connectionist Expert System that Actually Works Richard Fozzard, Gary Bradshaw and Louis Ceci [ps][pdf][djvu] An Information Theoretic Approach to Rule-Based Connectionist Expert Systems Rodney M. Goodman, John W. Miller and Padhraic Smyth [ps][pdf][djvu] Neural Approach for TV Image Compression Using a Hopfleld Type Network Martine Naillon and Jean-Bernard Theeten [ps][pdf][djvu] Neural Net Receivers in Multiple-Access Communications Bernd-Peter Paris, Geoffrey Orsak, Mahesh Varanasi and Behnaam Aazhang [ps][pdf][djvu] Performance of Synthetic Neural Network Classification of Noisy Radar Signals S. C. Ahalt, F. D. Garber, I. Jouny and A. K. Krishnamurthy [ps][pdf][djvu] Neural Analog Diffusion-Enhancement Layer and Spatio-Temporal Grouping in Early Vision Allen M. Waxman, Michael Seibert, Robert Cunningham and Jian Wu [ps][pdf][djvu] A Network for Image Segmentation Using Color Anya Hurlbert and Tomaso Poggio [ps][pdf][djvu] ALVINN: An Autonomous Land Vehicle in a Neural Network Dean A. Pomerleau [ps][pdf][djvu] Neural Network Star Pattern Recognition for Spacecraft Attitude Determination and Control Phillip Alvelda, A. Miguel San Martin [ps][pdf][djvu] Neural Network Recognizer for Hand-Written Zip Code Digits J. S. Denker, W. R. Gardner, H. P. Graf, D. Henderson, R. E. Howard, W. Hubbard, L. D. Jackel, H. S. Baird and I. Guyon [ps][pdf][djvu] Neural Networks that Learn to Discriminate Similar Kanji Characters Yoshihiro Mori and Kazuhiko Yokosawa [ps][pdf][djvu] Backpropagation and Its Application to Handwritten Signature Verification Timothy S. Wilkinson, Dorothy A. Mighell and Joseph W. Goodman [ps][pdf][djvu] Further Explorations in Visually-Guided Reaching: Making MURPHY Smarter Bartlett W. Mel [ps][pdf][djvu] Using Backpropagation with Temporal Windows to Learn the Dynamics of the CMU Direct-Drive Arm II K. Y. Goldberg and B. A. Pearlmutter [ps][pdf][djvu] Neuronal Maps for Sensory-Motor Control in the Barn Owl C. D. Spence, J. C. Pearson, J. J. Gelfand, R. M. Peterson and W. E. Sullivan [ps][pdf][djvu] Models of Ocular Dominance Column Formation: Analytical and Computational Results Kenneth D. Miller, Joseph B. Keller and Michael P. Stryker [ps][pdf][djvu] Modeling Small Oscillating Biological Networks in Analog VLSI Sylvie Ryckebusch, James M. Bower, and Carver Mead [ps][pdf][djvu] Storing Covariance by the Associative Long-Term Potentiation and Depression of Synaptic Strengths in the Hippocampus Patric K Stanton and Terrence J. Sejnowski [ps][pdf][djvu] Modeling the Olfactory Bulb-Coupled Nonlinear Oscillators Zhaoping Li and J. J. Hopfield [ps][pdf][djvu] Neural Control of Sensory Acquisition: The Vestibulo-Ocular Reflex Michael G. Paulin, Mark E. Nelson and James M. Bower [ps][pdf][djvu] Computer Modeling of Associative Learning Daniel L. Alkon, Francis Quek and Thomas P. Vogl [ps][pdf][djvu] Simulation and Measurement of the Electric Fields Generated by Weakly Electric Fish Brian Rasnow, Christopher Assad, Mark E. Nelson and James M. Bower [ps][pdf][djvu] A Model for Resolution Enhancement (Hyperacuity) in Sensory Representation Jun Zhang and John P. Miller [ps][pdf][djvu] Theory of Self-Organization of Cortical Maps Shigeru Tanaka [ps][pdf][djvu] A Bifurcation Theory Approach to the Programming of Periodic Attractors in Network Models of Olfactory Cortex Bill Baird [ps][pdf][djvu] Learning the Solution to the Aperture Problem for Pattern Motion with a Hebb Rule Martin L Sereno [ps][pdf][djvu] A Computationally Robust Anatomical Model for Retinal Directional Selectivity Norberto M. Grzywacz and Franklin R. Amthor [ps][pdf][djvu] GENESIS: A System for Simulating Neural Networks Matthew A Wilson, Upinder S. Bhalla, John D. Uhley and James M. Bower [ps][pdf][djvu] Training a 3-Node Neural Network is NP-Complete Avrim Blum and Ronald L. Rivest [ps][pdf][djvu] Links Between Markov Models and Multilayer Perceptrons H. Bourlard and C. J. Wellekens [ps][pdf][djvu] Convergence and Pattern-Stabilization in the Boltzmann Machine Moshe Kam and Roger Cheng [ps][pdf][djvu] A Back-Propagation Algorithm with Optimal Use of Hidden Units Yves Chauvin [ps][pdf][djvu] Implications of Recursive Distributed Representations Jordan B. Pollack [ps][pdf][djvu] A Massively Parallel Self-Tuning Context-Free Parser Eugene Santos Jr [ps][pdf][djvu] Dynamic, Non-Local Role Bindings and Inferencing in a Localist Network for Natural Language Understanding Trent E. Lange and Michael G. Dyer [ps][pdf][djvu] Spreading Activation over Distributed Microfeatures James Hendler [ps][pdf][djvu] A Model of Neural Oscillator for a Unified Submodule A. B. Kirillov, G. N. Borisyuk, R. M. Borisyuk, Ye. I. Kovalenko, V. I. Makarenko, V. A. Chulaevsky and V. I. Kryukov [ps][pdf][djvu] Dynamics of Analog Neural Networks with Time Delay C. M. Marcus and R. M. Westervelt [ps][pdf][djvu] Heterogeneous Neural Networks for Adaptive Behavior in Dynamic Environments Randall D. Beer, Hillel J. Chiel and Leon S. Sterling [ps][pdf][djvu] Statistical Prediction with Kanerva's Sparse Distributed Memory David Rogers [ps][pdf][djvu] Range Image Restoration Using Mean Field Annealing Gniff L. Bilbro and Wesley E. Snyder [ps][pdf][djvu] Automatic Local Annealing Jared Leinbach [ps][pdf][djvu] V. I. Kryukov [ps][pdf][djvu] Neural Networks for Model Matching and Perceptual Organization Eric Mjolsness, Gene Gindi and P. Anandan [ps][pdf][djvu] Analyzing the Energy Landscapes of Distributed Winner-Take-All Networks David S. Touretzky [ps][pdf][djvu] On the K-Winners-Take-All Network E. Majani, R. Erlanson and Y. Abu-Mostafa [ps][pdf][djvu] Learning Sequential Structure in Simple Recurrent Networks David Servan-Schreiber, Axel Cleeremans and James L. McClelland [ps][pdf][djvu] An Adaptive Network That Learns Sequences of Transitions C. L. Winter [ps][pdf][djvu] A Passive Shared Element Analog Electrical Cochlea David Feld, Joe Eisenberg and Edwin Lewis [ps][pdf][djvu] Programmable Analog Pulse-Firing Neural Networks Alister Hamilton, Alan F. Murray and Lionel Tarassenko [ps][pdf][djvu] A Low-Power CMOS Circuit Which Emulates Temporal Electrical Properties of Neurons Jack L. Meador and Clint S. Cole [ps][pdf][djvu] An Analog VLSI Chip for Thin-Plate Surface Interpolation John G. Harris [ps][pdf][djvu] Analog Implementation of Shunting Neural Networks Bahram Nabet, Robert B. Darling and Robert B. Pinter [ps][pdf][djvu] Winner-Take-All Networks of O(N) Complexity J. Lazzaro, S. Ryckebusch, M. A Mahowald and C. A. Mead [ps][pdf][djvu] A Programmable Analog Neural Computer and Simulator Paul Mueller, Jan Van den Spiegel, David Blackman, Timothy Chiu, Thomas Clare, Joseph Dao, Christopher Donham, Tzu-pu Hsieh and Marc Loinaz [ps][pdf][djvu] An Electronic Photoreceptor Sensitive to Small Changes in Intensity T. Delbruck and C. A. Mead [ps][pdf][djvu] Digital Realisation of Self-Organising Maps Martin J. Johnson, Nigel M. Allinson and Kevin J. Moon [ps][pdf][djvu] An Analog Self-Organizing Neural Network Chip James R. Mann and Sheldon Gilbert [ps][pdf][djvu] Performance of a Stochastic Learning Microchip Joshua Alspector, Bhusan Gupta and Robert B. Allen [ps][pdf][djvu] Adaptive Neural Networks Using MOS Charge Storage D. B. Schwartz, R. E. Howard and W. E. Hubbard [ps][pdf][djvu] A Self-Learning Neural Network A Hartstein and R. H. Koch [ps][pdf][djvu] Training a Limited-Interconnect, Synthetic Neural IC M. R. Walker, S. Haghighi, A Afghan and L. A Akers [ps][pdf][djvu] Electronic Receptors for Tactile/Haptic Sensing Andreas G. Andreou [ps][pdf][djvu] Neural Architecture Valentino Braitenbeng [ps][pdf][djvu] Song Learning in Birds M. Konishi [ps][pdf][djvu] Speech Recognition: Statistical and Neural Information Processing Approaches John S. Bridle [ps][pdf][djvu] Cricket Wind Detection John P. Miller [ps][pdf][djvu] Author Index [ps][pdf][djvu] Subject Index [ps][pdf][djvu] |