NeurIPS(NIPS) 1989 论文列表
Advances in Neural Information Processing Systems 1, [NIPS Conference, Denver, Colorado, USA, 1988].
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Cricket Wind Detection.
Speech Recognition: Statistical and Neural Information Processing Approaches.
Song Learning in Birds.
Neural Architecture.
Electronic Receptors for Tactile/Haptic Sensing.
Training a Limited-Interconnect, Synthetic Neural IC.
A Self-Learning Neural Network.
Adaptive Neural Networks Using MOS Charge Storage.
Performance of a Stochastic Learning Microchip.
An Analog Self-Organizing Neural Network Chip.
Digital Realisation of Self-Organizing Maps.
An Electronic Photoreceptor Sensitive to Small Changes in Intensity.
A Programmable Analog Neural Computer and Simulator.
Winner-Take-All Networks of O(N) Complexity.
Analog Implementation of Shunting Neural Networks.
An Analog VLSI Chip for Thin-Plate Surface Interpolation.
A Low-Power CMOS Circuit Which Emulates Temporal Electrical Properties of Neurons.
Programmable Analog Pulse-Firing Neural Networks.
A Passive Shared Element Analog Electrical Cochlea.
An Adaptive Network That Learns Sequences of Transitions.
Learning Subsequential Structure in Simple Recurrent Networks.
On the K-Winners-Take-All Network.
Analyzing the Energy Landscapes of Distributed Winner-Take-All Networks.
Neural Networks for Model Matching and Perceptual Organization.
"Neurolocator", A Model of Attention.
Automatic Local Annealing.
Range Image Restoration Using Mean Field Annealing.
Statistical Prediction with Kanerva's Sparse Distributed Memory.
Heterogeneous Neural Networks for Adaptive Behavior in Dynamic Environments.
Dynamics of Analog Neural Networks with Time Delay.
A Model of Neural Oscillator for a Unified Submodule.
Spreading Activation over Distributed Microfeatures.
Dynamic, Non-Local Role Bindings and Inferencing in a Localist Network for Natural Language Understanding.
A Massively Parallel Self-Tuning Context-Free Parser.
Implications of Recursive Distributed Representations.
A Back-Propagation Algorithm with Optimal Use of Hidden Units.
Convergence and Pattern-Stabilization in the Boltzmann Machine.
Links Between Markov Models and Multilayer Perceptrons.
Training a 3-Node Neural Network is NP-Complete.
GENESIS: A System for Simulating Neural Networks.
A Computationally Robust Anatomical Model for Retinal Directional Selectivity.
Learning the Solution to the Aperture Problem for Pattern Motion with a Hebb Rule.
A Bifurcation Theory Approach to the Programming of Periodic Attractors in Network Models of Olfactory Cortex.
Theory of Self-Organization of Cortical Maps.
A Model for Resolution Enhancement (Hyperacuity) in Sensory Representation.
Simulation and Measurement of the Electric Fields Generated by Weakly Electric Fish.
Computer Modeling of Associative Learning.
Neural Control of Sensory Acquisition: The Vestibulo-Ocular Reflex.
Modeling the Olfactory Bulb - Coupled Nonlinear Oscillators.
Storing Covariance by the Associative Long-Term Potentation and Depression of Synaptic Strengths in the Hippocampus.
Modeling Small Oscillating Biological Networks in Analog VLSI.
Models of Ocular Dominance Column Formation: Analytical and Computational Results.
Neuronal Maps for Sensory-Motor Control in the Barn Owl.
Using Backpropagation with Temporal Windows to Learn the Dynamics of the CMU Direct-Drive Arm II.
Further Explorations in Visually-Guided Reaching: Making MURPHY Smarter.
Backpropagation and Its Application to Handwritten Signature Verification.
Neural Networks that Learn to Discriminate Similar Kanji Characters.
Neural Network Recognizer for Hand-Written Zip Code Digits.
Neural Network Star Pattern Recognition for Spacecraft Attitude Determination and Control.
ALVINN: An Autonomous Land Vehicle in a Neural Network.
A Network for Image Segmentation Using Color.
Neural Analog Diffusion-Enhancement Layer and Spatio-Temporal Grouping in Early Vision.
Performance of Synthetic Neural Network Classification of Noisy Radar Signals.
Neural Net Receivers in Multiple Access-Communications.
Neural Approach for TV Image Compression Using a Hopfield Type Network.
An Information Theoretic Approach to Rule-Based Connectionist Expert Systems.
A Connectionist Expert System that Actually Works.
Temporal Representations in a Connectionist Speech System.
Speech Production Using A Neural Network with a Cooperative Learning Mechanism.
Use of Multi-Layered Networks for Coding Speech with Phonetic Features.
Consonant Recognition by Modular Construction of Large Phonemic Time-Delay Neural Networks.
Applications of Error Back-Propagation to Phonetic Classification.
Learning with Temporal Derivatives in Pulse-Coded Neuronal Systems.
An Application of the Principle of Maximum Information Preservation to Linear Systems.
Comparing Biases for Minimal Network Construction with Back-Propagation.
Does the Neuron "Learn" Like the Synapse?
Scaling and Generalization in Neural Networks: A Case Study.
Fixed Point Analysis for Recurrent Networks.
GEMINI: Gradient Estimation Through Matrix Inversion After Noise Injection.
Training Multilayer Perceptrons with the Extende Kalman Algorithm.
Adaptive Neural Net Preprocessing for Signal Detection in Non-Gaussian Noise.
The Boltzmann Perceptron Network: A Multi-Layered Feed-Forward Network Equivalent to the Boltzmann Machine.
Skeletonization: A Technique for Trimming the Fat from a Network via Relevance Assessment.
Connectionist Learning of Expert Preferences by Comparison Training.
Optimization by Mean Field Annealing.
What Size Net Gives Valid Generalization?
Learning by Choice of Internal Representations.
Linear Learning: Landscapes and Algorithms.
Self Organizing Neural Networks for the Identification Problem.
Mapping Classifier Systems Into Neural Networks.
Efficient Parallel Learning Algorithms for Neural Networks.
Fast Learning in Multi-Resolution Hierarchies.
Associative Learning via Inhibitory Search.
An Optimality Principle for Unsupervised Learning.
Constraints on Adaptive Networks for Modeling Human Generalization.
