Advances in Neural Information Processing Systems 10 (NIPS 1997)

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• 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 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 Sa, 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