NeurIPS(NIPS) 1998 论文列表Advances in Neural Information Processing Systems 10, [NIPS Conference, Denver, Colorado, USA, 1997]. |
Multiplicative Updating Rule for Blind Separation Derived from the Method of Scoring.
The Efficiency and the Robustness of Natural Gradient Descent Learning Rule.
Hybrid Reinforcement Learning and Its Application to Biped Robot Control.
Modelling Seasonality and Trends in Daily Rainfall Data.
Hybrid NN/HMM-Based Speech Recognition with a Discriminant Neural Feature Extraction.
Recurrent Neural Networks Can Learn to Implement Symbol-Sensitive Counting.
Phase Transitions and the Perceptual Organization of Video Sequences.
Relative Loss Bounds, the Minimum Relative Entropy Principle, and EM.
On the Infeasibility of Training Neural Networks with Small Squared Errors.
Competitive On-line Linear Regression.
Modeling Complex Cells in an Awake Macaque during Natural Image Viewing.
Independent Component Analysis for Identification of Artifacts in Magnetoencephalographic Recordings.
Use of a Multi-Layer Perceptron to Predict Malignancy in Ovarian Tumors.
Multiresolution Tangent Distance for Affine-invariant Classification.
A Solution for Missing Data in Recurrent Neural Networks with an Application to Blood Glucose Prediction.
Blind Separation of Radio Signals in Fading Channels.
Mapping a Manifold of Perceptual Observations.
The Asymptotic Convergence-Rate of Q-learning.
Experiences with Bayesian Learning in a Real World Application.
Bach in a Box - Real-Time Harmony.
Incorporating Contextual Information in White Blood Cell Identification.
Bidirectional Retrieval from Associative Memory.
On-line Learning from Finite Training Sets in Nonlinear Networks.
Stacked Density Estimation.
From Regularization Operators to Support Vector Kernels.
How to Dynamically Merge Markov Decision Processes.
Monotonic Networks.
An Analog VLSI Neural Network for Phase-based Machine Vision.
Data-Dependent Structural Risk Minimization for Perceptron Decision Trees.
Learning Generative Models with the Up-Propagation Algorithm.
Minimax and Hamiltonian Dynamics of Excitatory-Inhibitory Networks.
Learning Continuous Attractors in Recurrent Networks.
The Rectified Gaussian Distribution.
Prior Knowledge in Support Vector Kernels.
Local Dimensionality Reduction.
Modeling Acoustic Correlations by Factor Analysis.
On the Separation of Signals from Neighboring Cells in Tetrode Recordings.
Learning in Rational Agents.
On Parallel versus Serial Processing: A Computational Study of Visual Search.
EM Algorithms for PCA and SPCA.
Linear Concepts and Hidden Variables: An Empirical Study.
RCC Cannot Compute Certain FSA, Even with Arbitrary Transfer Functions.
Just One View: Invariances in Inferotemporal Cell Tuning.
Globally Optimal On-line Learning Rules.
An Incremental Nearest Neighbor Algorithm with Queries.
Correlates of Attention in a Model of Dynamic Visual Recognition.
Analytical Study of the Interplay between Architecture and Predictability.
Multi-time Models for Temporally Abstract Planning.
Neural Basis of Object-Centered Representations.
Analog VLSI Model of Intersegmental Coordination with Nearest-Neighbor Coupling.
Reinforcement Learning with Hierarchies of Machines.
Self-similarity Properties of Natural Images.
Adaptive Choice of Grid and Time in Reinforcement Learning.
The Storage Capacity of a Fully-Connected Committee Machine.
A Hippocampal Model of Recognition Memory.
Enhancing Q-Learning for Optimal Asset Allocation.
The Observer-Observation Dilemma in Neuro-Forecasting.
Psychological Studies of Visual Perception.
Reinforcement Learning for Continuous Stochastic Control Problems.
A Superadditive-Impairment Theory of Optic Aphasia.
Bayesian Robustification for Audio Visual Fusion.
Learning to Schedule Straight-Line Code.
J. Eliot B. Moss Paul E. Utgoff John Cavazos Doina Precup Darko Stefanovic Carla E. Brodley David Scheeff
Automated Aircraft Recovery via Reinforcement Learning: Initial Experiments.
Learning Path Distributions Using Nonequilibrium Diffusion Networks.
Serial Order in Reading Aloud: Connectionist Models and Neighborhood Structure.
Intrusion Detection with Neural Networks.
Combining Classifiers Using Correspondence Analysis.
Toward a Single-Cell Account for Binocular Disparity Tuning: An Energy Model May Be Hiding in Your Dendrites.
Structural Risk Minimization for Nonparametric Time Series Prediction.
Estimating Dependency Structure as a Hidden Variable.
An Application of Reversible-Jump MCMC to Multivariate Spherical Gaussian Mixtures.
A Framework for Multiple-Instance Learning.
Reinforcement Learning for Call Admission Control and Routing in Integrated Service Networks.
Synaptic Transmission: An Information-Theoretic Perspective.
Dynamic Stochastic Synapses as Computational Units.
Effects of Spike Timing Underlying Binocular Integration and Rivalry in a Neural Model of Early Visual Cortex.
2D Observers for Human 3D Object Recognition?
Silicon Retina with Adaptive Filtering Properties.
DNA2DNA Computation: A Potential Killer Application?
Factorizing Multivariate Function Classes.
Visual Navigation in a Robot Using Zig-Zag Behavior.
Learning Nonlinear Overcomplete Representations for Efficient Coding.
Inferring Sparse, Overcomplete Image Codes Using an Efficient Coding Framework.
Two Approaches to Optimal Annealing.
A Neural Network Based Head Tracking System.
A Generic Approach for Identification of Event Related Brain Potentials via a Competitive Neural Network Structure.
Learning Human-like Knowledge by Singular Value Decomposition: A Progress Report.
Perturbative M-Sequences for Auditory Systems Identification.
Asymptotic Theory for Regularization: One-Dimensional Linear Case.
Analysis of Drifting Dynamics with Neural Network Hidden Markov Models.
Relative Loss Bounds for Multidimensional Regression Problems.
S-Map: A Network with a Simple Self-Organization Algorithm for Generative Topographic Mappings.
Odor Encoding by the Olfactory System - from Biology to a Receptorless Artificial Nose.
Boltzmann Machine Learning Using Mean Field Theory and Linear Response Correction.
Extended ICA Removes Artifacts from Electroencephalographic Recordings.
Tzyy-Ping Jung Colin Humphries Te-Won Lee Scott Makeig Martin J. McKeown Vicente Iragui Terrence J. Sejnowski
Wavelet Models for Video Time-Series.
The Error Coding and Substitution PaCTs.
Comparison of Human and Machine Word Recognition.
A Model of Early Visual Processing.
New Approximations of Differential Entropy for Independent Component Analysis and Projection Pursuit.
Function Approximation with the Sweeping Hinge Algorithm.
Adaptation in Speech Motor Control.
Multi-modular Associative Memory.
Computing with Action Potentials.
Active Data Clustering.
Nonlinear Markov Networks for Continuous Variables.
MELONET I: Neural Nets for Inventing Baroque-Style Chorale Variations.
A 1, 000-Neuron System with One Million 7-bit Physical Interconnections.
Selecting Weighting Factors in Logarithmic Opinion Pools.
A Simple and Fast Neural Network Approach to Stereovision.
Unsupervised On-line Learning of Decision Trees for Hierarchical Data Analysis.
Classification by Pairwise Coupling.
An Analog VLSI Model of the Fly Elementary Motion Detector.
An Improved Policy Iteration Algorithm for Partially Observable MDPs.
Recovering Perspective Pose with a Dual Step EM Algorithm.
Graph Matching with Hierarchical Discrete Relaxation.
A Neural Network Model of Naive Preference and Filial Imprinting in the Domestic Chick.
Detection of First and Second Order Motion.
Gradients for Retinotectal Mapping.
A Mathematical Model of Axon Guidance by Diffusible Factors.
Regression with Input-dependent Noise: A Gaussian Process Treatment.
Hierarchical Non-linear Factor Analysis and Topographic Maps.
Features as Sufficient Statistics.
Generalized Prioritized Sweeping.
A Revolution: Belief Propagation in Graphs with Cycles.
Regularisation in Sequential Learning Algorithms.
Bayesian Model of Surface Perception.
Hippocampal Model of Rat Spatial Abilities Using Temporal Difference Learning.
Ensemble and Modular Approaches for Face Detection: A Comparison.
A General Purpose Image Processing Chip: Orientation Detection.
Agnostic Classification of Markovian Sequences.
Instabilities in Eye Movement Control: A Model of Periodic Alternating Nystagmus.
Using Helmholtz Machines to Analyze Multi-channel Neuronal Recordings.
Characterizing Neurons in the Primary Auditory Cortex of the Awake Primate Using Reverse Correlation.
A Non-Parametric Multi-Scale Statistical Model for Natural Images.
Structure Driven Image Database Retrieval.
Statistical Models of Conditioning.
Task and Spatial Frequency Effects on Face Specialization.
Learning to Order Things.
On Efficient Heuristic Ranking of Hypotheses.
Incorporating Test Inputs into Learning.
An Annealed Self-Organizing Map for Source Channel Coding.
Multiple Threshold Neural Logic.
Receptive Field Formation in Natural Scene Environments: Comparison of Single Cell Learning Rules.
Approximating Posterior Distributions in Belief Networks Using Mixtures.
Refractoriness and Neural Precision.
Shared Context Probabilistic Transducers.
Training Methods for Adaptive Boosting of Neural Networks.
The Canonical Distortion Measure in Feature Space and 1-NN Classification.
Generalization in Decision Trees and DNF: Does Size Matter?
Radial Basis Functions: A Bayesian Treatment.
Ensemble Learning for Multi-Layer Networks.
Using Expectation to Guide Processing: A Study of Three Real-World Applications.
Synchronized Auditory and Cognitive 40 Hz Attentional Streams, and the Impact of Rhythmic Expectation on Auditory Scene Analysis.
Coding of Naturalistic Stimuli by Auditory Midbrain Neurons.
Nonparametric Model-Based Reinforcement Learning.