Book

Advances in Neural Information Processing Systems 10 (NIPS 1997)

Edited by: M. Jordan and M. Kearns and S. Solla

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