NeurIPS(NIPS) 1990 论文列表Advances in Neural Information Processing Systems 2, [NIPS Conference, Denver, Colorado, USA, November 27-30, 1989]. |
Neural Networks: The Early Days.
Dataflow Architectures: Flexible Platforms for Neural Network Simulation.
Performance of Connectionist Learning Algorithms on 2-D SIMD Processor Arrays.
An Efficient Implementation of the Back-propagation Algorithm on the Connection Machine CM-2.
VLSI Implementation of a High-Capacity Neural Network Associative Memory.
Pulse-Firing Neural Chips for Hundreds of Neurons.
Analog Circuits for Constrained Optimization.
Digital-Analog Hybrid Synapse Chips for Electronic Neural Networks.
A Reconfigurable Analog VLSI Neural Network Chip.
Real-Time Computer Vision and Robotics Using Analog VLSI Circuits.
An Analog VLSI Model of Adaptation in the Vestibulo-Ocular Reflex.
A Cost Function for Internal Representations.
On the Distribution of the Number of Local Minima of a Random Function on a Graph.
A Neural Network for Feature Extraction.
Time Dependent Adaptive Neural Networks.
Analog Neural Networks of Limited Precision I: Computing with Multilinear Threshold Functions.
Analysis of Linsker's Simulations of Hebbian Rules.
Sequential Decision Probelms and Neural Networks.
The Perceptron Algorithm Is Fast for Non-Malicious Distributions.
Complexity of Finite Precision Neural Network Classifier.
Coupled Markov Random Fields and Mean Field Theory.
Synergy of Clustering Multiple Back Propagation Networks.
Dynamic Behavior of Constained Back-Propagation Networks.
Subgrouping Reduces Complexity and Speeds Up Learning in Recurrent Networks.
Generalization and Parameter Estimation in Feedforward Netws: Some Experiments.
Performance Comparisons Between Backpropagation Networks and Classification Trees on Three Real-World Applications.
Les E. Atlas Ronald A. Cole Jerome T. Connor Mohamed A. El-Sharkawi Robert J. Marks II Yeshwant K. Muthusamy Etienne Barnard
Comparing the Performance of Connectionist and Statistical Classifiers on an Image Segmentation Problem.
Asymptotic Convergence of Backpropagation: Numerical Experiments.
Optimal Brain Damage.
A Method for the Associative Storage of Analog Vectors.
Unsupervised Learning in Neurodynamics Using the Phase Velocity Field Approach.
Maximum Likelihood Competitive Learning.
Training Connectionist Networks with Queries and Selective Sampling.
The "Moving Targets" Training Algorithm.
Generalization and Scaling in Reinforcement Learning.
The Cocktail Party Problem: Speech/Data Signal Separation Comparison between Backpropagation and SONN.
Meiosis Networks.
The Cascade-Correlation Learning Architecture.
The CHIR Algorithm for Feed Forward Networks with Binary Weights.
Discovering High Order Features with Mean Field Modules.
Adjoint Operator Algorithms for Faster Learning in Dynamical Neural Networks.
Learning in Higher-Order "Artificial Dendritic Trees".
Algorithms for Better Representation and Faster Learning in Radial Basis Function Networks.
Sigma-Pi Learning: On Radial Basis Functions and Cortical Associative Learning.
Neural Network Visualization.
Predicting Weather Using a Genetic Memory: A Combination of Kanerva's Sparse Distributed Memory with Holland's Genetic Algorithms.
Designing Application-Specific Neural Networks Using the Genetic Algorithm.
Discovering the Structure of a Reactive Environment by Exploration.
Rule Representations in a Connectionist Chunker.
A Neural Network to Detect Homologies in Proteins.
A Large-Scale Neural Network Which Recognizes Handwritten Kanji Characters.
Recognizing Hand-Printed Letters and Digits.
Handwritten Digit Recognition with a Back-Propagation Network.
Yann LeCun Bernhard E. Boser John S. Denker Donnie Henderson Richard E. Howard Wayne E. Hubbard Lawrence D. Jackel
Bayesian Inference of Regular Grammar and Markov Source Models.
Higher Order Recurrent Networks and Grammatical Inference.
A Computational Basis for Phonology.
Incremental Parsing by Modular Recurrent Connectionist Networks.
Generalized Hopfield Networks and Nonlinear Optimization.
Neural Network Weight Matrix Synthesis Using Optimal Control Techniques.
Operational Fault Tolerance of CMAC Networks.
A Self-organizing Associative Memory System for Control Applications.
Learning to Control an Unstable System with Forward Modeling.
Using Local Models to Control Movement.
Neuronal Group Selection Theory: A Grounding in Robotics.
Model Based Image Compression and Adaptive Data Representaion by Interacting Filter Banks.
Neurally Inspired Plasticity in Oculomotor Processes.
Contour-Map Encoding of Shape for Early Vision.
A Self-Organizing Multiple-View Representations of 3D Objects.
TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame Transformations.
Learning Aspect Graph Representations from View Sequences.
A Neural Network for Real-Time Signal Processing.
Using a Translation-Invariant Neural Network to Diagnose Heart Arrhythmia.
Combining Visual and Acoustic Speech Signals with a Neural Network Improves Intelligibility.
The Effects of Circuit Integration on a Feature Map Vector Quantizer.
Speaker Independent Speech Recognition with Neural Networks and Speech Knowledge.
Training Stochastic Model Recognition Algorithms as Networks can Lead to Maximum Mutual Information Estimation of Parameters.
Connectionist Architectures for Multi-Speaker Phoneme Recognition.
HMM Speech Recognition with Neural Net Discrimination.
A Continuous Speech Recognition System Embedding MLP into HMM.
Dimensionality Reduction and Prior Knowledge in E-Set Recognition.
Practical Characteristics of Neural Network and Conventional Pattern Classifiers on Artificial and Speech Problems.
Analytic Solutions to the Formation of Feature-Analysing Cells of a Three-Layer Feedforward Visual Information Processing Neural Net.
A Systematic Study of the Input/Output Properties of a 2 Compartment Model Neuron With Active Membranes.
Effects of Firing Synchrony on Signal Propagation in Layered Networks.
Note on Development of Modularity in Simple Cortical Models.
Can Simple Cells Learn Curves? A Hebbian Model in a Structured Environment.
A Computer Modeling Approach to Understanding the Inferior Olive and Its Relationships to the Cerebellar Cortex in Rats.
Non-Boltzmann Dynamics in Networks of Spiking Neurons.
The Effect of Catecholamines on Performance: From Unit to System Behavior.
Development and Regeneration of Eye-Brain Maps: A Computational Model.
Computer Simulation of Oscillatory Behavior in Cerebral Cortical Networks.
Collective Oscillations in the Visual Cortex.
Associative Memory in a Simple Model of Oscillating Cortex.
Computational Efficiency: A Common Organizing Principle for Parallel Computer Maps and Brain Maps?
Neural Network Simulation of Somatosensory Representational Plasticity.
Neural Implementation of Motivated Behavior: Feeding in an Artificial Insect.
Reading a Neural Code.
Neural Network Analysis of Distributed Representations of Dynamical Sensory-Motor Transormations in the Leech.
Mechanisms for Neuromodulation of Biological Neural Networks.
The Computation of Sound Source Evaluation in the Barn Owl.
Acoustic-Imaging Computations by Echolocating Bats: Unification of Diversely-Represented Stimulus Features into Whole Images.