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Conference Materials

Neural Information Processing Systems 1997 (NIPS10)

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

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