NeurIPS(NIPS) 1991 论文列表Advances in Neural Information Processing Systems 3, [NIPS Conference, Denver, Colorado, USA, November 26-29, 1990]. |
VLSI Implementation of TInMANN.
Simulation of the Neocognitron on a CCD Parallel Processing Architecture.
Reconfigurable Neural Net Chip with 32K Connections.
Back Propagation Implementation.
Design and Implementation of a High Speed CMAC Neural Network.
Relaxation Networks for Large Supervised Learning Problems.
An Analog VLSI Splining Network.
Compact EEPROM-based Weight Functions.
VLSI Implementations of Learning and Memory Systems.
Kohonen Networks and Clustering.
Time Trials on Second-Order and Variable-Learning-Rate Algorithms.
Practical Characteristics of Neural Network and Conventional Patterns Classifiers.
Comparison of Three Classification Techniques: CART, C4.5 and Multi-Layer Perceptrons.
On the Circuit Complexity of Neural Networks.
epsilon-Entropy and the Complexity of Feedforward Neural Networks.
Remarks on Interpolation and Recognition Using Neural Nets.
Asymptotic Slowing Down of the Nearest-Neighbor Classifier.
Chaitin-Kolmogorov Complexity and Generalization in Neural Networks.
Second Order Properties of Error Surfaces.
Can Neural Networks Do Better Than the Vapnik-Chervonenkis Bounds?
Constructing Hidden Units Using Examples and Queries.
Dynamics of Generalization in Linear Perceptrons.
Generalization Dynamics in LMS Trained Linear Networks.
The Devil and the Network.
Generalization by Weight-Elimination with Application to Forecasting.
Closed-Form Inversion of Backpropagation Networks.
Back Propagation is Sensitive to Initial Conditions.
Transforming Neural-Net Output Levels to Probability Distributions.
Learning Theory and Experiments with Competitive Networks.
Convergence of a Neural Network Classifier.
Note on Learning Rate Schedules for Stochastic Optimization.
Efficient Design of Boltzmann Machines.
On Stochastic Complexity and Admissible Models for Neural Network Classifiers.
Designing Linear Threshold Based Neural Network Pattern Classifiers.
Evolution and Learning in Neural Networks.
Using Genetic Algorithms to Improve Pattern Classification Performance.
Connectionist Music Composition Based on Melodic and Stylistic Constraints.
A Framework for the Cooperation of Learning Algorithms.
Evaluation of Adaptive Mixtures of Competing Experts.
A Competitive Modular Connectionist Architecture.
How Receptive Field Parameters Affect Neural Learning.
Extensions of a Theory of Networks for Approximation and Learning.
Discrete Affine Wavelet Transforms.
Computing with Arrays of Bell-Shaped and Sigmoid Functions.
Oriented Non-Radial Basis Functions for Image Coding and Analysis.
Sequential Adaptation of Radial Basis Function Networks.
Leaning by Combining Memorization and Gradient Descent.
Generalization Properties of Radial Basis Functions.
Basis-Function Trees as a Generalization of Local Variable Selection Methods.
Bumptrees for Efficient Function, Constraint and Classification Learning.
Multi-Layer Perceptrons with B-Spline Receptive Field Functions.
Adaptive Spline Networks.
Connectionist Implementation of a Theory of Generalization.
Spherical Units as Dynamic Consequential Regions.
ALCOVE: A Connectionist Model of Human Category Learning.
An Attractor Neural Network Model of Recall and Recognition.
Direct Memory Access Using Two Cues.
Discovering Discrete Distributed Representations.
Language Induction by Phase Transition in Dynamical Recognizers.
Exploiting Syllable Structure in a Connectionist Phonology Model.
A Short-Term Memory Architecture for the Learning of Morphophonemic Rules.
Translating Locative Prepositions.
Distributed Recursive Structure Processing.
Analog Neural Networks as Decoders.
A Neural Expert System with Automated Extraction of Fuzzy If-Then Rules.
SEXNET: A Neural Network Identifies Sex From Human Faces.
EMPATH: Face, Emotion, and Gender Recognition Using Holons.
Integrated Segmentation and Recognition of Hand-Printed Numerals.
A B-P ANN Commodity Trader.
Lg Depth Estimation and Ripple Fire Characterization.
Neural Network Application to Diagnostics.
Training Knowledge-Based Neural Networks to Recognize Genes.
A Novel Approach to Prediction of the 3-Dimensional Structures.
Henrik Fredholm Henrik Bohr Jakob Bohr Søren Brunak Rodney M. J. Cotterill Benny Lautrup Steffen B. Petersen
Flight Control in the Dragonfly: A Neurobiological Simulation.
A Model of Distributed Sensorimotor Control in the Cockroach Escape Turn.
Reinforcement Learning in Markovian and Non-Markovian Environments.
Neural Network Implementation of Admission Control.
Adaptive Range Coding.
A Reinforcement Learning Variant for Control Scheduling.
Integrated Modeling and Control Based on Reinforcement Learning.
Navigating Through Temporal Difference.
A Connectionist Learning Control Architecture for Navigation.
Planning with an Adaptive World Model.
Proximity Effect Corrections in Electron Beam Lithography.
Learning Trajectory and Force Control of an Artificial Muscle Arm.
Rapidly Adapting Artificial Neural Networks for Autonomous Navigation.
Real-Time Autonomous Robot Navigation Using VLSI Neural Networks.
Neural Networks Structured for Control Application to Aircraft Landing.
A Delay-Line Based Motion Detection Chip.
An Analog VLSI Chip for Finding Edges from Zero-crossings.
Feedback Synapse to Cone and Light Adaptation.
A Four Neuron Circuit Accounts for Change Sensitive Inhibition in Salamander Retina.
Optimal Filtering in the Salamander Retina.
A VLSI Neural Network for Color Constancy.
Optimal Sampling of Natural Images.
Qualitative Structure From Motion.
A Multiscale Adaptive Network Model of Motion Computation in Primates.
Neural Dynamics of Motion Segmentation and Grouping.
Grouping Contours by Iterated Pairing Networks.
Stereopsis by a Neural Network Which Learns the Constraints.
Learning to See Rotation and Dilation with a Hebb Rule.
A Second-Order Translation, Rotation and Scale Invariant Neural Network.
A Neural Network Approach for Three-Dimensional Object Recognition.
Discovering Viewpoint-Invariant Relationships That Characterize Objects.
Applications of Neural Networks in Video Signal Processing.
Signal Processing by Multiplexing and Demultiplexing in Neurons.
Natural Dolphin Echo Recognition Using an Integrator Gateway Network.
Speech Recognition Using Connectionist Approaches.
From Speech Recognition to Spoken Language Understanding.
Victor Zue James R. Glass David Goodine Lynette Hirschman Hong C. Leung Michael S. Phillips Joseph Polifroni Stephanie Seneff
Phonetic Classification and Recognition Using the Multi-Layer Perceptron.
Exploratory Feature Extraction in Speech Signals.
RecNorm: Simultaneous Normalisation and Classification Applied to Speech Recognition.
Speech Recognition Using Demi-Syllable Neural Prediction Model.
Spoken Letter Recognition.
Connectionist Approaches to the Use of Markov Models for Speech Recognition.
A Recurrent Neural Network for Word Identification from Continuous Phoneme Strings.
Continuous Speech Recognition by Linked Predictive Neural Networks.
The Recurrent Cascade-Correlation Architecture.
Learning Time-Varying Concepts.
Statistical Mechanics of Temporal Association in Neural Networks.
ART2/BP Architecture for Adaptive Estimation of Dynamic Processes.
A Theory for Neural Networks with Time Delays.
The Tempo 2 Algorithm: Adjusting Time-Delays By Supervised Learning.
Modeling Time Varying Systems Using Hidden Control Neural Architecture.
Analog Computation at a Critical Point.
Oscillation Onset in Neural Delayed Feedback.
Phase-coupling in Two-Dimensional Networks of Interacting Oscillators.
Adjoint-Functions and Temporal Learning Algorithms in Neural Networks.
Shaping the State Space Landscape in Recurrent Networks.
Connection Topology and Dynamics in Lateral Inhibition Networks.
CAM Storage of Analog Patterns and Continuous Sequences with 3N2 Weights.
Associative Memory in a Network of 'Biological' Neurons.
A Lagrangian Approach to Fixed Points.
Dynamics of Learning in Recurrent Feature-Discovery Networks.
Stochastic Neurodynamics.
Order Reduction for Dynamical Systems Describing the Behavior of Complex Neurons.
Cholinergic Modulation May Enhance Cortical Associative Memory Function.
Self-organization of Hebbian Synapses in Hippocampal Neurons.
A Recurrent Neural Network Model of Velocity Storage in the Vestibulo-Ocular Reflex.
Simple Spin Models for the Development of Ocular Dominance Columns and Iso-Orientation Patches.
Interaction Among Ocularity, Retinotopy and On-center/Off-center Pathways.
Development and Spatial Structure of Cortical Feature Maps: A Model Study.
Studies of a Model for the Development and Regeneration of Eye-Brain Maps.