NIPS 1997 Proceedings

Advances in Neural Information Processing Systems 10 (NIPS 1997)

The papers below appear in Advances in Neural Information Processing Systems 10 edited by M.I. Jordan and M.J. Kearns and S.A. Solla.
They are proceedings from the conference, "Neural Information Processing Systems 1997."

Synchronized Auditory and Cognitive 40 Hz Attentional Streams, and the Impact of Rhythmic Expectation on Auditory Scene Analysis Bill Baird
On Parallel versus Serial Processing: A Computational Study of Visual Search Eyal Cohen, Eytan Ruppin
Task and Spatial Frequency Effects on Face Specialization Matthew N. Dailey, Garrison W. Cottrell
Neural Basis of Object-Centered Representations Sophie Denève, Alexandre Pouget
A Neural Network Model of Naive Preference and Filial Imprinting in the Domestic Chick Lucy E. Hadden
Adaptation in Speech Motor Control John F. Houde, Michael I. Jordan
Learning Human-like Knowledge by Singular Value Decomposition: A Progress Report Thomas K. Landauer, Darrell Laham, Peter W. Foltz
Multi-modular Associative Memory Nir Levy, David Horn, Eytan Ruppin
Serial Order in Reading Aloud: Connectionist Models and Neighborhood Structure Jeanne C. Milostan, Garrison W. Cottrell
A Superadditive-Impairment Theory of Optic Aphasia Michael C. Mozer, Mark Sitton, Martha J. Farah
A Hippocampal Model of Recognition Memory Randall C. O'Reilly, Kenneth A. Norman, James L. McClelland
Correlates of Attention in a Model of Dynamic Visual Recognition Rajesh P. N. Rao
Recurrent Neural Networks Can Learn to Implement Symbol-Sensitive Counting Paul Rodriguez, Janet Wiles
Comparison of Human and Machine Word Recognition Markus Schenkel, Cyril Latimer, Marwan A. Jabri
Coding of Naturalistic Stimuli by Auditory Midbrain Neurons Hagai Attias, Christoph E. Schreiner
Refractoriness and Neural Precision Michael J. Berry II, Markus Meister
Statistical Models of Conditioning Peter Dayan, Theresa Long
Characterizing Neurons in the Primary Auditory Cortex of the Awake Primate Using Reverse Correlation R. Christopher DeCharms, Michael Merzenich
Using Helmholtz Machines to Analyze Multi-channel Neuronal Recordings Virginia R. de Sa, R. Christopher DeCharms, Michael Merzenich
Instabilities in Eye Movement Control: A Model of Periodic Alternating Nystagmus Ernst R. Dow, Thomas J. Anastasio
Hippocampal Model of Rat Spatial Abilities Using Temporal Difference Learning David J. Foster, Richard G. M. Morris, Peter Dayan
Gradients for Retinotectal Mapping Geoffrey J. Goodhill
A Mathematical Model of Axon Guidance by Diffusible Factors Geoffrey J. Goodhill
Computing with Action Potentials John J. Hopfield, Carlos D. Brody, Sam Roweis
A Model of Early Visual Processing Laurent Itti, Jochen Braun, Dale K. Lee, Christof Koch
Perturbative M-Sequences for Auditory Systems Identification Mark Kvale, Christoph E. Schreiner
Effects of Spike Timing Underlying Binocular Integration and Rivalry in a Neural Model of Early Visual Cortex Erik D. Lumer
Dynamic Stochastic Synapses as Computational Units Wolfgang Maass, Anthony M. Zador
Synaptic Transmission: An Information-Theoretic Perspective Amit Manwani, Christof Koch
Toward a Single-Cell Account for Binocular Disparity Tuning: An Energy Model May Be Hiding in Your Dendrites Bartlett W. Mel, Daniel L. Ruderman, Kevin A. Archie
Just One View: Invariances in Inferotemporal Cell Tuning Maximilian Riesenhuber, Tomaso Poggio
On the Separation of Signals from Neighboring Cells in Tetrode Recordings Maneesh Sahani, John S. Pezaris, Richard A. Andersen
Independent Component Analysis for Identification of Artifacts in Magnetoencephalographic Recordings Ricardo Vigário, Veikko Jousmäki, Matti Hämäläinen, Riitta Hari, Erkki Oja
Modeling Complex Cells in an Awake Macaque during Natural Image Viewing William E. Vinje, Jack L. Gallant
The Canonical Distortion Measure in Feature Space and 1-NN Classification Jonathan Baxter, Peter L. Bartlett
Multiple Threshold Neural Logic Vasken Bohossian, Jehoshua Bruck
Generalization in Decision Trees and DNF: Does Size Matter? Mostefa Golea, Peter L. Bartlett, Wee Sun Lee, Llew Mason
Selecting Weighting Factors in Logarithmic Opinion Pools Tom Heskes
New Approximations of Differential Entropy for Independent Component Analysis and Projection Pursuit Aapo Hyvärinen
Boltzmann Machine Learning Using Mean Field Theory and Linear Response Correction Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz
Relative Loss Bounds for Multidimensional Regression Problems Jyrki Kivinen, Manfred K. Warmuth
Asymptotic Theory for Regularization: One-Dimensional Linear Case Petri Koistinen
Two Approaches to Optimal Annealing Todd K. Leen, Bernhard Schottky, David Saad
Structural Risk Minimization for Nonparametric Time Series Prediction Ron Meir
Analytical Study of the Interplay between Architecture and Predictability Avner Priel, Ido Kanter, David A. Kessler
Globally Optimal On-line Learning Rules Magnus Rattray, David Saad
Minimax and Hamiltonian Dynamics of Excitatory-Inhibitory Networks H. Sebastian Seung, Tom J. Richardson, J. C. Lagarias, John J. Hopfield
Data-Dependent Structural Risk Minimization for Perceptron Decision Trees John Shawe-Taylor, Nello Cristianini
From Regularization Operators to Support Vector Kernels Alex J. Smola, Bernhard Schölkopf
The Rectified Gaussian Distribution Nicholas D. Socci, Daniel D. Lee, H. Sebastian Seung
On-line Learning from Finite Training Sets in Nonlinear Networks Peter Sollich, David Barber
Competitive On-line Linear Regression Volodya Vovk
On the Infeasibility of Training Neural Networks with Small Squared Errors Van H. Vu
The Storage Capacity of a Fully-Connected Committee Machine Yuansheng Xiong, Chulan Kwon, Jong-Hoon Oh
The Efficiency and the Robustness of Natural Gradient Descent Learning Rule Howard Hua Yang, Shun-ichi Amari
Ensemble Learning for Multi-Layer Networks David Barber, Christopher M. Bishop
Radial Basis Functions: A Bayesian Treatment David Barber, Bernhard Schottky
Shared Context Probabilistic Transducers Yoshua Bengio, Samy Bengio, Jean-Franc Isabelle, Yoram Singer
Approximating Posterior Distributions in Belief Networks Using Mixtures Christopher M. Bishop, Neil D. Lawrence, Tommi Jaakkola, Michael I. Jordan
Receptive Field Formation in Natural Scene Environments: Comparison of Single Cell Learning Rules Brian S. Blais, Nathan Intrator, Harel Z. Shouval, Leon N. Cooper
An Annealed Self-Organizing Map for Source Channel Coding Matthias Burger, Thore Graepel, Klaus Obermayer
Incorporating Test Inputs into Learning Zehra Cataltepe, Malik Magdon-Ismail
On Efficient Heuristic Ranking of Hypotheses Steve A. Chien, Andre Stechert, Darren Mutz
Learning to Order Things William W. Cohen, Robert E. Schapire, Yoram Singer
Regularisation in Sequential Learning Algorithms João F. G. de Freitas, Mahesan Niranjan, Andrew H. Gee
Agnostic Classification of Markovian Sequences Ran El-Yaniv, Shai Fine, Naftali Tishby
Ensemble and Modular Approaches for Face Detection: A Comparison Raphaël Feraud, Olivier Bernier
A Revolution: Belief Propagation in Graphs with Cycles Brendan J. Frey, David J. C. MacKay
Hierarchical Non-linear Factor Analysis and Topographic Maps Zoubin Ghahramani, Geoffrey E. Hinton
Regression with Input-dependent Noise: A Gaussian Process Treatment Paul W. Goldberg, Christopher K. I. Williams, Christopher M. Bishop
Linear Concepts and Hidden Variables: An Empirical Study Adam J. Grove, Dan Roth
Classification by Pairwise Coupling Trevor Hastie, Robert Tibshirani
Unsupervised On-line Learning of Decision Trees for Hierarchical Data Analysis Marcus Held, Joachim M. Buhmann
Nonlinear Markov Networks for Continuous Variables Reimar Hofmann, Volker Tresp
Active Data Clustering Thomas Hofmann, Joachim M. Buhmann
Function Approximation with the Sweeping Hinge Algorithm Don R. Hush, Fernando Lozano, Bill G. Horne
The Error Coding and Substitution PaCTs Gareth James, Trevor Hastie
S-Map: A Network with a Simple Self-Organization Algorithm for Generative Topographic Mappings Kimmo Kiviluoto, Erkki Oja
Learning Nonlinear Overcomplete Representations for Efficient Coding Michael S. Lewicki, Terrence J. Sejnowski
Factorizing Multivariate Function Classes Juan K. Lin
A Framework for Multiple-Instance Learning Oded Maron, Tomás Lozano-Pérez
An Application of Reversible-Jump MCMC to Multivariate Spherical Gaussian Mixtures Alan D. Marrs
Estimating Dependency Structure as a Hidden Variable Marina Meila, Michael I. Jordan
Combining Classifiers Using Correspondence Analysis Christopher J. Merz
Learning Path Distributions Using Nonequilibrium Diffusion Networks Paul Mineiro, Javier R. Movellan, Ruth J. Williams
Learning Generative Models with the Up Propagation Algorithm Jong-Hoon Oh, H. Sebastian Seung
An Incremental Nearest Neighbor Algorithm with Queries Joel Ratsaby
RCC Cannot Compute Certain FSA, Even with Arbitrary Transfer Functions Mark Ring
EM Algorithms for PCA and SPCA Sam T. Roweis
Local Dimensionality Reduction Stefan Schaal, Sethu Vijayakumar, Christopher G. Atkeson
Prior Knowledge in Support Vector Kernels Bernhard Schölkopf, Patrice Simard, Alex J. Smola, Vladimir Vapnik
Training Methods for Adaptive Boosting of Neural Networks Holger Schwenk, Yoshua Bengio
Learning Continuous Attractors in Recurrent Networks H. Sebastian Seung
Monotonic Networks Joseph Sill
Stacked Density Estimation Padhraic Smyth, David Wolpert
Bidirectional Retrieval from Associative Memory Friedrich T. Sommer, Günther Palm
Mapping a Manifold of Perceptual Observations Joshua B. Tenenbaum
Graph Matching with Hierarchical Discrete Relaxation Richard C. Wilson, Edwin R. Hancock
Multiplicative Updating Rule for Blind Separation Derived from the Method of Scoring Howard Hua Yang
A 1, 000-Neuron System with One Million 7-bit Physical Interconnections Yuzo Hirai
Silicon Retina with Adaptive Filtering Properties Shih-Chii Liu
Analog VLSI Model of Intersegmental Coordination with Nearest-Neighbor Coupling Girish N. Patel, Jeremy H. Holleman, Stephen P. DeWeerth
An Analog VLSI Neural Network for Phase-based Machine Vision Bertram Emil Shi, Kwok Fai Hui
Analysis of Drifting Dynamics with Neural Network Hidden Markov Models Jens Kohlmorgen, Klaus-Robert Müller, Klaus Pawelzik
Bayesian Robustification for Audio Visual Fusion Javier R. Movellan, Paul Mineiro
Modeling Acoustic Correlations by Factor Analysis Lawrence K. Saul, Mazin G. Rahim
Blind Separation of Radio Signals in Fading Channels Kari Torkkola
Hybrid NN/HMM-Based Speech Recognition with a Discriminant Neural Feature Extraction Daniel Willett, Gerhard Rigoll
A Non-Parametric Multi-Scale Statistical Model for Natural Images Jeremy S. De Bonet, Paul A. Viola
Recovering Perspective Pose with a Dual Step EM Algorithm Andrew D. J. Cross, Edwin R. Hancock
Bayesian Model of Surface Perception William T. Freeman, Paul A. Viola
Features as Sufficient Statistics Davi Geiger, Archisman Rudra, Laurance T. Maloney
Detection of First and Second Order Motion Alexander Grunewald, Heiko Neumann
A Simple and Fast Neural Network Approach to Stereovision Rolf D. Henkel
Visual Navigation in a Robot Using Zig-Zag Behavior M. Anthony Lewis
2D Observers for Human 3D Object Recognition? Zili Liu, Daniel Kersten
Self-similarity Properties of Natural Images Antonio Turiel, Germán Mato, Néstor Parga, Jean-Pierre Nadal
Multiresolution Tangent Distance for Affine-invariant Classification Nuno Vasconcelos, Andrew Lippman
Phase Transitions and the Perceptual Organization of Video Sequences Yair Weiss
Using Expectation to Guide Processing: A Study of Three Real-World Applications Shumeet Baluja
Structure Driven Image Database Retrieval Jeremy S. De Bonet, Paul A. Viola
A General Purpose Image Processing Chip: Orientation Detection Ralph Etienne-Cummings, Donghui Cai
An Analog VLSI Model of the Fly Elementary Motion Detector Reid R. Harrison, Christof Koch
MELONET I: Neural Nets for Inventing Baroque-Style Chorale Variations Dominik Hörnel
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
A Generic Approach for Identification of Event Related Brain Potentials via a Competitive Neural Network Structure Daniel H. Lange, Hava T. Siegelmann, Hillel Pratt, Gideon F. Inbar
A Neural Network Based Head Tracking System Daniel D. Lee, H. S. Seung
Wavelet Models for Video Time-Series Sheng Ma, Chuanyi Ji
Reinforcement Learning for Call Admission Control and Routing in Integrated Service Networks Peter Marbach, Oliver Mihatsch, Miriam Schulte, John N. Tsitsiklis
Learning to Schedule Straight-Line Code J. Eliot B. Moss, Paul E. Utgoff, John Cavazos, Doina Precup, Darko Stefanovic, Carla E. Brodley, David Scheeff
Enhancing Q-Learning for Optimal Asset Allocation Ralph Neuneier
Intrusion Detection with Neural Networks Jake Ryan, Meng-Jang Lin, Risto Miikkulainen
Incorporating Contextual Information in White Blood Cell Identification Xubo B. Song, Yaser S. Abu-Mostafa, Joseph Sill, Harvey Kasdan
Bach in a Box - Real-Time Harmony Randall R. Spangler, Rodney M. Goodman, Jim Hawkins
Experiences with Bayesian Learning in a Real World Application Peter Sykacek, Georg Dorffner, Peter Rappelsberger, Josef Zeitlhofer
A Solution for Missing Data in Recurrent Neural Networks with an Application to Blood Glucose Prediction Volker Tresp, Thomas Briegel
Use of a Multi-Layer Perceptron to Predict Malignancy in Ovarian Tumors Herman Verrelst, Yves Moreau, Joos Vandewalle, Dirk Timmerman
Modelling Seasonality and Trends in Daily Rainfall Data Peter M. Williams
The Observer-Observation Dilemma in Neuro-Forecasting Hans-Georg Zimmermann, Ralph Neuneier
Generalized Prioritized Sweeping David Andre, Nir Friedman, Ronald Parr
Nonparametric Model-Based Reinforcement Learning Christopher G. Atkeson
An Improved Policy Iteration Algorithm for Partially Observable MDPs Eric A. Hansen
Automated Aircraft Recovery via Reinforcement Learning: Initial Experiments Jeffrey F. Monaco, David G. Ward, Andrew G. Barto
Reinforcement Learning for Continuous Stochastic Control Problems Rémi Munos, Paul Bourgine
Adaptive Choice of Grid and Time in Reinforcement Learning Stephan Pareigis
Reinforcement Learning with Hierarchies of Machines Ronald Parr, Stuart J. Russell
Multi-time Models for Temporally Abstract Planning Doina Precup, Richard S. Sutton
How to Dynamically Merge Markov Decision Processes Satinder P. Singh, David Cohn
The Asymptotic Convergence-Rate of Q-learning Csaba Szepesvári
Hybrid Reinforcement Learning and Its Application to Biped Robot Control Satoshi Yamada, Akira Watanabe, Michio Nakashima