NeCo 1997

91 papers

A Bound on the Error of Cross Validation Using the Approximation and Estimation Rates, with Consequences for the Training-Test Split Michael J. Kearns

A Constructive, Incremental-Learning Network for Mixture Modeling and Classification James R. Williamson

A Fast Fixed-Point Algorithm for Independent Component Analysis Aapo Hyvärinen, Erkki Oja

A Local Learning Rule That Enables Information Maximization for Arbitrary Input Distributions Ralph Linsker

A Mobile Robot That Learns Its Place Sageev Oore, Geoffrey E. Hinton, Gregory Dudek

A Neuro-Mimetic Dynamic Scheduling Algorithm for Control: Analysis and Applications Harpreet S. Kwatra, Francis J. Doyle Iii, Ilya A. Rybak, James S. Schwaber

A Penalty-Function Approach for Pruning Feedforward Neural Networks Rudy Setiono

A Sequential Learning Scheme for Function Approximation Using Minimal Radial Basis Function Neural Networks Yingwei Lu, Narasimhan Sundararajan, Paramasivan Saratchandran

A Simple Common Contexts Explanation for the Development of Abstract Letter Identities Thad A. Polk, Martha J. Farah

A Simple Model of Transmitter Release and Facilitation Richard Bertram

A Simple Neural Network Exhibiting Selective Activation of Neuronal Ensemblies: From Winner-Take-All to Winners-Share-All Tomoki Fukai, Shigeru Tanaka

A Unifying Objective Function for Topographic Mappings Geoffrey J. Goodhill, Terrence J. Sejnowski

Activation Functions, Computational Goals and Learning Rules for Local Processors with Contextual Guidance Jim Kay, William A. Phillips

Adaptive Encoding Strongly Improves Function Approximation with CMAC Martin Eldracher, Alexander Staller, René Pompl

Adaptive Mixtures of Probabilistic Transducers Yoram Singer

Adaptive On-Line Learning Algorithms for Blind Separation-Maximization Entropy and Minimum Mutual Information Howard Hua Yang, Shun-ichi Amari

Airline Crew Scheduling with Potts Neurons Martin Lagerholm, Carsten Peterson, Bo Söderberg

An Analog Memory Circuit for Spiking Silicon Neurons John G. Elias, David P. M. Northmore, Wayne Westerman

Analysis of Dynamical Recognizers Alan D. Blair, Jordan B. Pollack

Average-Case Learning Curves for Radial Basis Function Networks Sean B. Holden, Mahesan Niranjan

Averaging Regularized Estimators Michiaki Taniguchi, Volker Tresp

Bias/Variance Analyses of Mixtures-of-Experts Architectures Robert A. Jacobs

Computing with the Leaky Integrate-and-Fire Neuron: Logarithmic Computation and Multiplication Doron Tal, Eric L. Schwartz

Conductance-Based Integrate and Fire Models Alain Destexhe

Controlling Hidden Layer Capacity Through Lateral Connections Kwabena Agyepong, Ravi Kothari

Convergence and Ordering of Kohonen's Batch mAP Yizong Cheng

Correction to 'Lower Bounds on the VC-Dimension of Smoothly Parametrized Function Classes' Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson

Covariance Learning of Correlated Patterns in Competitive Networks Ali A. Minai

Data Clustering Using a Model Granular Magnet Marcelo Blatt, Shai Wiseman, Eytan Domany

Detecting Synchronous Cell Assemblies with Limited Data and Overlapping Assemblies Gary Strangman

Dimension Reduction by Local Principal Component Analysis Nanda Kambhatla, Todd K. Leen

Dynamic Model of Visual Recognition Predicts Neural Response Properties in the Visual Cortex Rajesh P. N. Rao, Dana H. Ballard

Effect of Delay on the Boundary of the Basin of Attraction in a Self-Excited Single Graded-Response Neuron Khashayar Pakdaman, C. P. Malta, Clodoaldo Grotta Ragazzo, Jean-François Vibert

Extracting Rules from Neural Networks by Pruning and Hidden-Unit Splitting Rudy Setiono

Factor Analysis Using Delta-Rule Wake-Sleep Learning Radford M. Neal, Peter Dayan

Faithful Representation of Separable Input Distributions Juan K. Lin, David G. Grier, Jack D. Cowan

Fast Sigmoidal Networks via Spiking Neurons Wolfgang Maass

Flat Minima Sepp Hochreiter, Jürgen Schmidhuber

Functional Periodic Intracortical Couplings Induced by Structured Lateral Inhibition in a Linear Cortical Network Silvio P. Sabatini, Luigi Raffo, Giacomo M. Bisio

Gamma Oscillation Model Predicts Intensity Coding by Phase Rather than Frequency Roger D. Traub, Miles A. Whittington, John G. R. Jefferys

How Well Can We Estimate the Information Carried in Neuronal Responses from Limited Samples? David Golomb, John A. Hertz, Stefano Panzeri, Barry J. Richmond, Alessandro Treves

Hybrid Learning of Mapping and Its Jacobian in Multilayer Neural Network Jeong-Woo Lee, Jun-Ho Oh

Hyperparameter Selection for Self-Organizing Maps Akio Utsugi

Image Segmentation Based on Oscillatory Correlation DeLiang L. Wang, David Terman

Information Controller to Maximize and Minimize Information Ryotaro Kamimura

Local Parallel Computation of Stochastic Completion Fields Lance R. Williams, David W. Jacobs

Long Short-Term Memory Sepp Hochreiter, Jürgen Schmidhuber

Lower Bound on VC-Dimension by Local Shattering Yossi Erlich, Dan Chazan, Scott Petrack, Avi Levi

Lyapunov Functions for Neural Nets with Nondifferentiable Input-Output Characteristics Jianfeng Feng

Marr's Theory of the Neocortex as a Self-Organizing Neural Network David J. Willshaw, John Hallam, Sarah Gingell, Soo Leng Lau

Mean-Field Theory for Batched-TD(l) Fernando J. Pineda

Minimax Entropy Principle and Its Application to Texture Modeling Song Chun Zhu, Ying Nian Wu, David Mumford

Multiunit Normalized Cross Correlation Differs from the Average Single Unit Normalized Correlation Purvis Bedenbaugh, George L. Gerstein

Neural Networks for Functional Approximation and System Identification Hrushikesh Narhar Mhaskar, Nahmwoo Hahm

Noise Adaptation in Integrate -and -Fire Neurons Michael E. Rudd, Lawrence G. Brown

Noise Injection: Theoretical Prospects Yves Grandvalet, Stéphane Canu, Stéphane Boucheron

Note on Free Lunches and Cross-Validation Cyril Goutte

On Bias Plus Variance David H. Wolpert

Online Learning in Radial Basis Function Networks Jason A. S. Freeman, David Saad

Optimal, Unsupervised Learning in Invariant Object Recognition Guy M. Wallis, Roland Baddeley

Paradigmatic Working Memory (Attractor) Cell in IT Cortex Daniel J. Amit, Stefano Fusi, Volodya Yakovlev

Partial BFGS Update and Efficient Step-Length Calculation for Three-Layer Neural Networks Kazumi Saito, Ryohei Nakano

Physiological Gain Leads to High ISI Variability in a Simple Model of a Cortical Regular Spiking Cel Todd W. Troyer, Kenneth D. Miller

Playing Billiards in Version Space Pal Rujan

Possible Roles of Spontaneous Waves and Dendritic Growth for Retinal Receptive Field Development Pierre-Yves Burgi, Norberto M. Grzywacz

Probabilistic Independence Networks for Hidden Markov Probability Models Padhraic Smyth, David Heckerman, Michael I. Jordan

Reduction of the Hogkin-Huxley Equations to a Single-Variable Threshold Model Werner M. Kistler, Wulfram Gerstner, J. Leo van Hemmen

Redundancy Reduction and Independent Component Analysis: Conditions on Cumulants and Adaptive Approaches Jean-Pierre Nadal, Néstor Parga

Role of Temporal Integration and Fluctuation Detection in the Highly Irregular Firing of a Leaky Integrator Neuron Model with Partial Reset Guido Bugmann, Chris Christodoulou, John G. Taylor

SEEMORE: Combining Color, Shape and Texture Histogramming in a Neurally-Inspired Approach to Visual Object Recognition Bartlett W. Mel

Selecting Optimal Experiments for Multiple Output Multilayer Perceptrons Lisa M. Belue, Kenneth W. Bauer Jr., Dennis W. Ruck

Self-Organization of Firing Activities in Monkey's Motor Cortex: Trajectory Computation from Spike Signals Siming Lin, Jennie Si, A. B. Schwartz

Self-Organized Formation of Various Invariant-Feature Filters in the Adaptive-Subspace SOM Teuvo Kohonen, Samuel Kaski, Harri Lappalainen

Self-Organizing mAP with Dynamical Node Splitting: Application to Handwritten Digit Recognition Sung-Bae Cho

Shape Quantization and Recognition with Randomized Trees Yali Amit, Donald Geman

Shattering All Sets of K Points in 'General Position' Requires (k - 1)/2 Parameters Eduardo D. Sontag

Shunting Inhibition Does Not Have a Divisive Effect on Firing Rates Gary R. Holt, Christof Koch

Similarity, Connectionism, and the Problem of Representation in Vision Shimon Edelman, Sharon Duvdevani-Bar

Singularities in Primate Orientation Maps Klaus Obermayer, Gary G. Blasdel

Solitary Waves of Integrate-and-Fire Neural Fields David Horn, Irit Opher

Statistical Inference, Occam's Razor, and Statistical Mechanics on the Space of Probability Distributions Vijay Balasubramanian

Stochastic Completion Fields: A Neural Model of Illusory Contour Shape and Salience Lance R. Williams, David W. Jacobs

Supervised Networks Which Self-Organize Class Outputs Ramesh R. Sarukkai

The Behavior of Forgetting Learning in Bidrectional Associative Memory Andrew Chi-Sing Leung, Lai-Wan Chan

The Faulty Behavior of Feedforward Neural Networks with Hard-Limiting Activation Fuction Zhiyu Tian, Ting-Ting Y. Lin, Shiyuan Yang, Shibai Tong

The Formation of Topographic Maps Which Maximize the Average Mutual Information of the Output Responses to Noiseless Input Signals Marc M. Van Hulle

The Joint Development of Orientation and Ocular Dominance: Role of Constraints Christian Piepenbrock, Helge J. Ritter, Klaus Obermayer

The NEURON Simulation Environment Michael L. Hines, Nicholas T. Carnevale

Time-Series Segmentation Using Predictive Modular Neural Networks Athanasios Kehagias, Vassilios Petridis

Topographic Receptive Fields and Patterned Lateral Interaction in a Self-Organizing Model of the Primary Visual Cortex Joseph Sirosh, Risto Miikkulainen

Using Expectation-Maximization for Reinforcement Learning Peter Dayan, Geoffrey E. Hinton