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NIPS*1997
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| Title Pages [ps][pdf][djvu] Synchronized Auditory and Cognitive 40 Hz Attentional Streams, and the Impact of Rhythmic Expectation on Auditory Scene Analysis, Bill Baird [ps][pdf][djvu] On Parallel versus Serial Processing: A Computational Study of Visual Search, Eyal Cohen and Eytan Ruppin [ps][pdf][djvu] Task and Spatial Frequency Effects on Face Specialization, Matthew N. Dailey and Garrison W. Cottrell [ps][pdf][djvu] Neural Basis of Object-Centered Representations, Sophie Deneve and Alexandre Pouget [ps][pdf][djvu] A Neural Network Model of Naive Preference and Filial Imprinting in the Domestic Chick, Lucy E. Hadden [ps][pdf][djvu] Adaptation in Speech Motor Control, John F. Houde and Michael I. Jordan [ps][pdf][djvu] Learning Human-like Knowledge by Singular Value Decomposition.' A Progress Report, Thomas K. Landauer, Darrell Laham and Peter Foltz [ps][pdf][djvu] Multi-modular Associative Memory, Nit Levy, David Horn and Eytan Ruppin [ps][pdf][djvu] Serial Order in Reading Aloud: Connectionist Models and Neighborhood Structure, Jeanne C. Milostan and Garrison W. Cottrell [ps][pdf][djvu] A Superadditive-Impairment Theory of Optic Aphasia, Michael C. Mozer, Mark Sitton and Martha Farah [ps][pdf][djvu] A Hippocampal Model of Recognition Memory, Randall C. O'Reilly, Kenneth A. Norman and James L. McClelland [ps][pdf][djvu] Correlates of Attention in a Model of Dynamic Visual Recognition, Rajesh P. N. Rao [ps][pdf][djvu] Recurrent Neural Networks Can Learn to Implement Symbol-Sensitive Counting, Paul Rodriguez and Janet Wiles [ps][pdf][djvu] Comparison of Human and Machine Word Recognition, Markus Schenkel, Cyril Latimer and Marwan Jabri [ps][pdf][djvu] [ps][pdf][djvu] Coding of Naturalistic Stimuli by Auditory Midbrain Neurons, Hagai Attias and Christoph E. Schreiner [ps][pdf][djvu] Refractoriness and Neural Precision, Michael J. Berry II and Markus Meister [ps][pdf][djvu] Statistical Models of Conditioning, Peter Dayan and Theresa Long [ps][pdf][djvu] Characterizing Neurons in the Primary Auditory Cortex of the Awake Primate Using Reverse Correlation, R. Christopher deCharms and Michael M. Mer-zenich [ps][pdf][djvu] Using Helmholtz Machines to Analyze Multi-channel Neuronal Recordings, Virginia R. de Sa, R. Christopher deCharms and Michael M. Merzenich [ps][pdf][djvu] Instabilities in Eye Movement Control: A Model of Periodic Alternating Nystagmus, Ernst R. Dow and Thomas J. Anastasio [ps][pdf][djvu] Hippocampal Model of Rat Spatial Abilities Using Temporal Difference Learning, David J. Foster, Richard G. M. Morris and Peter Dayan [ps][pdf][djvu] Gradients for Retinotectal Mapping, Geoffrey J. Goodhill [ps][pdf][djvu] A Mathematical Model of Axon Guidance by Diffusible Factors, Geoffrey J. Goodhill [ps][pdf][djvu] Computing with Action Potentials (Invited Talk), John J. Hopfield, Carlos D. Brody and Sam Roweis [ps][pdf][djvu] A Model of Early Visual Processing, Laurent Itti, Jochen Braun, Dale K. Lee and Christof Koch [ps][pdf][djvu] Perturbative M-Sequences for Auditory Systems Identification, Maxk Kvale and Christoph E. Schreiner [ps][pdf][djvu] Effects of Spike Timing Underlying Binocular Integration and Rivalry in a Neural Model of Early Visual Cortex, Erik D. Lumer [ps][pdf][djvu] Dynamic Stochastic Synapses as Computational Units, Wolfgang Maass and Anthony M. Zador [ps][pdf][djvu] Synaptic Transmission: An Information-Theoretic Perspective, Amit Manwani and Christof Koch [ps][pdf][djvu] Toward a Single-Cell Account for Binocular Disparity Tuning: An Energy Model May Be Hiding in Your Dendrites, Bartlett W. Mel, Daniel L. Ruderman and Kevin A. Archie [ps][pdf][djvu] Just One View: Invariances in Inferotemporal Cell Tuning, Maximilian Riesenhuber and Tomaso Poggio [ps][pdf][djvu] On the Separation of Signals from Neighboring Cells in Tetrode Recordings, Maneesh Sahani, John S. Pezaris and Richard A. Andersen [ps][pdf][djvu] Independent Component Analysis for Identification of Artifacts in MagnetoencephaIographic Recordings, Ricardo firio, Veikko Jousmfiki, Matti H'fi. mfil'ninen, Riitta Hari and Erkki Oja [ps][pdf][djvu] Modeling Complex Cells in an Awake Macaque during Natural Image Viewing, William E. Vinje and Jack L. Gallant [ps][pdf][djvu] [ps][pdf][djvu] The Canonical Distortion Measure in Feature Space and 1-NN Classification, Jonathan Baxter and Peter Bartlett [ps][pdf][djvu] Multiple Threshold Neural Logic, Vasken Bohossian and Jehoshua Brock [ps][pdf][djvu] Generalization in Decision Trees and DNF: Does Size Matter? Mostefa Golea, Peter Bartlett, Wee Sun Lee and Llew Mason [ps][pdf][djvu] Selecting Weighting Factors in Logarithmic Opinion Pools, Tom Heskes [ps][pdf][djvu] New Approximations of Differential Entropy for Independent Component Analysis and Projection Pursuit, Aapo Hyv'firinen [ps][pdf][djvu] Boltzmann Machine Learning Using Mean Field Theory and Linear Response Correction, Hilbert J. Kappen and F. B. Rodriguez [ps][pdf][djvu] Relative Loss Bounds for Multidimensional Regression Problems, Jyrki Kivinen and Manfred K. Warmuth [ps][pdf][djvu] Asymptotic Theory for Regularization: One-Dimensional Linear Case, Petri Koistinen [ps][pdf][djvu] Two Approaches to Optimal Annealing, Todd K. Leen, Bernhard Schottky and David Saad [ps][pdf][djvu] Structural Risk Minimization for Nonparametric Time Series Prediction, Ron Meir [ps][pdf][djvu] Analytical Study of the Interplay between Architecture and Predictability, Avner Priel, Ido Kanter and David A. Kessler [ps][pdf][djvu] Globally Optimal On-line Learning Rules, Magnus Rattray and David Saad [ps][pdf][djvu] Minimax and Hamiltonian Dynamics of Excitatory-Inhibitory Networks, H. Sebastian Seung, Tom J. Richardson, Jeffrey C. Lagarias and John J. Hopfield [ps][pdf][djvu] Data-Dependent Structural Risk Minimization for Perceptron Decision Trees, John Shawe-qnaylor and Nello Cristianini [ps][pdf][djvu] From Regularization Operators to Support Vector Kernels, Alex J. Smola and Bernhard Schoelkopf [ps][pdf][djvu] The Rectified Gaussian Distribution, Nicholas D. Socci, Daniel D. Lee and H. Sebastian Seung [ps][pdf][djvu] On-line Learning from Finite Training Sets in Nonlinear Networks, Peter Sollich and David Barber [ps][pdf][djvu] Competitive On-line Linear Regression, Volodya Vovk [ps][pdf][djvu] On the Infeasibility of Training Neural Networks with Small Squared Errors, Van H. Vu [ps][pdf][djvu] The Storage Capacity of a Fully-Connected Committee Machine, Yuansheng Xiong, Chulan Kwon and Jong-Hoon Oh [ps][pdf][djvu] The Efficiency and the Robustness of Natural Gradient Descent Learning Rule, Howard H. Yang and Shun-ichi Amari [ps][pdf][djvu] [ps][pdf][djvu] Ensemble Learning for Multi-Layer Networks, David Barber and Christopher M. Bishop [ps][pdf][djvu] Radial Basis Functions: A Bayesian Treatment, David Barber and Bernhard Schottky [ps][pdf][djvu] Shared Context Probabilistic Transducers, Yoshua Bengio, Samy Bengio, Jean-Franqois Isabelle and Yoram Singer [ps][pdf][djvu] Approximating Posterior Distributions in Belief Networks Using Mixtures, Christopher M. Bishop, Nell Lawrence, Tommi Jaakkola and Michael I. Jordan [ps][pdf][djvu] Receptive Field Formation in Natural Scene Environments: Comparison of Single Cell Learning Rules, Brian S. Blais, Nathan Intrator, Harel Shouval and Leon N. Cooper [ps][pdf][djvu] An Annealed Self-Organizing Map for Source Channel Coding, Matthias Burger, Thore Graepel and Klaus Obermayer [ps][pdf][djvu] Incorporating Test Inputs into Learning, Zehra Cataltepe and Malik Magdon-Isrnail [ps][pdf][djvu] On Efficient Heuristic Ranking of Hypotheses, Steve Chien, Andre Stechert and Darren Mutz [ps][pdf][djvu] Learning to Order Things, Wiliam W. Cohen, Robert E. Schapire and Yoram Singer [ps][pdf][djvu] Regularisation in Sequential Learning Algorithms, Joao F. G. de Freitas, Mahesan Niranjan and Andrew H. Gee [ps][pdf][djvu] Agnostic Classification of Markovian Sequences, Ran E1-Yaniv, Shai Fine and Naftali Tlshby [ps][pdf][djvu] Ensemble and ModularApproaches for Face Detection: A Comparison, Raphael Feraud and Olivier Bernier [ps][pdf][djvu] A Revolution: Belief Propagation in Graphs with Cycles, Brendan J. Frey and David J. C. MacKay [ps][pdf][djvu] Hierarchical Non-linear Factor Analysis and Topographic Maps, Zoubin Ghahramani and Geoffrey E. Hinton [ps][pdf][djvu] Regression with Input-dependent Noise: A Gaussian Process Treatment, Paul W. Goldberg, Christopher K. I. Williams and Christopher M. Bishop [ps][pdf][djvu] Linear Concepts and Hidden Variables: An Empirical Study, Adam J. Grove and Dan Roth [ps][pdf][djvu] Classification by Pairwise Coupling, Trevor Hastie and Robert Tibshirani [ps][pdf][djvu] Unsupervised On-line Learning of Decision Trees for Hierarchical Data Analysis, Marcus Held and Joachim M. Buhmann [ps][pdf][djvu] Nonlinear Markov Networks for Continuous Variables, Reimar Hofmann and Volker Tresp [ps][pdf][djvu] Active Data Clustering, Thomas Hofmann and Joachim M. Buhnmnn [ps][pdf][djvu] Function Approximation with the Sweeping Hinge Algorithm, Don R. Hush, Fernando Lozano and Bill Home [ps][pdf][djvu] The Error Coding and Substitution PaCTs, Gareth James and Trevor Hastie [ps][pdf][djvu] S-Map: A Network with a Simple Self-Organization Algorithm for Generarive Topographic Mappings, Kimmo Kiviluoto and Erkki Oja [ps][pdf][djvu] Learning Nonlinear Overcomplete Representations for Efficient Coding, Michael S. Lewicki and Terrence J. Sejnowski [ps][pdf][djvu] Factorizing Multivariate Function Classes, Juan K. Lin [ps][pdf][djvu] A Framework for Multiple-Instance Learning, Oded Maron and Tonaris Lozano-Perez [ps][pdf][djvu] An Application of Reversible-Jump MCMC to Multivariate Spherical Gaussian Mixtures, Alan D. Marts [ps][pdf][djvu] Estimating Dependency Structure as a Hidden Variable, Marina Meila and Michael I. Jordan [ps][pdf][djvu] Combining Classifiers Using Correspondence Analysis, Christopher J. Merz [ps][pdf][djvu] Learning Path Distributions Using Nonequilibrium Diffusion Networks, Paul Mineiro, Javier Movellan and Ruth J. Williams [ps][pdf][djvu] [ps][pdf][djvu] An Incremental Nearest Neighbor Algorithm with Queries, Joel Ratsaby [ps][pdf][djvu] RCC Cannot Compute Certain FSA, Even with Arbitrary Transfer Functions, Mark Ring [ps][pdf][djvu] EM Algorithms for PCA and SPCA, Sam Roweis [ps][pdf][djvu] Local Dimensionality Reduction, Stefan Schaal, Sethu Vijayakumar and Christopher G. Atkeson [ps][pdf][djvu] Prior Knowledge in Support Vector Kernels, Bernhard Sch61kopf, Patrice Simard, Alex J. Smola and Vladimir Vapnik [ps][pdf][djvu] Training Methods for Adaptive Boosting of Neural Networks, Holger Schwenk and Yoshua Bengio [ps][pdf][djvu] Learning Continuous Attractors in Recurrent Networks, H. Sebastian Seung [ps][pdf][djvu] Monotonic Networks, Joseph Sill [ps][pdf][djvu] Stacked Density Estimation, Padhraic Smyth and David Wolpert [ps][pdf][djvu] Bidirectional Retrieval from Associative Memory, Friedrich T. Sommer and Gunther Palm [ps][pdf][djvu] Mapping a Manifold of Perceptual Observations, Joshua B. Tenenbaum [ps][pdf][djvu] Graph Matching with Hierarchical Discrete Relaxation, Richard C. Wilson and Edwin R. Hancock [ps][pdf][djvu] Multiplicative Updating Rule for Blind Separation Derived from the Method of Scoring, Howard H. Yang [ps][pdf][djvu] [ps][pdf][djvu] A 1,000-Neuron System with One Million 7-bit Physical Interconnections, Yuzo Hirai [ps][pdf][djvu] Silicon Retina with Adaptive Filtering Propertie, Shih-Chii Liu [ps][pdf][djvu] Analog VLSI Model of lntersegmental Coordination with Nearest-Neighbor Coupling, Girish N. Patel, Jeremy H. Holleman and Stephen P. DeWeerth [ps][pdf][djvu] An Analog VLSI Neural Network for Phase-based Machine Vision, Bertram E. Shi and Kwok Fai Hui [ps][pdf][djvu] [ps][pdf][djvu] Analysis of Drifting Dynamics with Neural Network Hidden Markov Models, Jens Kohlmorgen, Klaus-Robert Muller and Klaus Pawelzik [ps][pdf][djvu] Bayesian Robustification for Audio Visual Fusion, Javier Movellan and Paul Mineiro [ps][pdf][djvu] Modeling Acoustic Correlations by Factor Analysis, Lawrence Saul and Mazin Rahim [ps][pdf][djvu] Blind Separation of Radio Signals in Fading Channels, Karl Torkkola [ps][pdf][djvu] Hybrid NN/HMM-Based Speech Recognition with a Discriminant Neural Feature Extraction, Daniel Willett and Gerhard Rigoll [ps][pdf][djvu] [ps][pdf][djvu] A Non-Parametric Multi-Scale Statistical Model for Natural Images, Jeremy S. De Bonet and Paul A. Viola [ps][pdf][djvu] Recovering Perspective Pose with a Dual Step EM Algorithm, Andrew D. J. Cross and Edwin R. Hancock [ps][pdf][djvu] Bayesian Model of Surface Perception, Wfiliam T. Freeman and Paul A. Viola [ps][pdf][djvu] Features as Sufficient Statistics, Davi Geiger, Archisman Rudra and Laurance T. Maloney [ps][pdf][djvu] Detection of First and Second Order Motion, Alexander Grunewald and Heiko Neumann [ps][pdf][djvu] A Simple and Fast Neural Network Approach to Stereovision, Rolf D. Henkel [ps][pdf][djvu] Visual Navigation in a Robot Using Zig-Zag Behavior, M. Anthony Lewis [ps][pdf][djvu] 2D Observers for Human 3D Object Recognition, Zili Liu and Daniel Kersten [ps][pdf][djvu] Self-similarity Properties of Natural Images, Antonio Turiel, Germfin Mato, N6stor Parga and Jean-Pierre Nadal [ps][pdf][djvu] Multiresolution Tangent Distance forAffine-invariant Classification, Nuno Vasconcelos and Andrew Lippman [ps][pdf][djvu] Phase Transitions and the Perceptual Organization of Video Sequences, Yair Weiss [ps][pdf][djvu] [ps][pdf][djvu] Using Expectation to Guide Processing: A Study of Three Real-World Applications, Shumeet Baluja [ps][pdf][djvu] Structure Driven Image Database Retrieval, Jeremy S. De Bonet and Paul A. Viola [ps][pdf][djvu] A General Purpose Image Processing Chip: Orientation Detection, Ralph Etienne-Cummings and Donghui Cai [ps][pdf][djvu] An Analog VLSI Model of the Fly Elementary Motion Detector, Reid R. Hamson and Christof Koch [ps][pdf][djvu] MELONET h Neural Nets for Inventing Baroque-Style Chorale Variations, Dominik Hornel [ps][pdf][djvu] Extended ICA Removes Artifacts from Electroencephalographic Recordings, Tzyy-Ping Jung, Colin Humphties, Te-Won Lee, Scott Makeig, Martin J. McKeown, Vicente Iragui and Terrence J. Sejnowski [ps][pdf][djvu] 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 [ps][pdf][djvu] [ps][pdf][djvu] Wavelet Models for Video Time-Series, Sheng Ma and Chuanyi Ji [ps][pdf][djvu] Reinforcement Learning for Call Admission Control and Routing in Integrated Service Networks, Peter Marbach, Oliver Mihatsch, Miriam Schulte and John N. Tsitsiklis [ps][pdf][djvu] Learning to Schedule Straight-Line Code, Eliot Moss, Paul Utgoff, John Cavazos, Doina Precup, Darko Stefanovid, Carla Brodley and David Scheeff [ps][pdf][djvu] Enhancing Q-Learning for Optimal Asset Allocation, Ralph Neuneier [ps][pdf][djvu] Intrusion Detection with Neural Networks, Jake Ryan, Meng-Jang Lin and Risto Mikkulainen [ps][pdf][djvu] Incorporating Contextual Information in White Blood Cell Identification, Xubo Song, Yaser Abu-Mostafa, Joseph Sill and Harvey Kasdan [ps][pdf][djvu] Bach in a Box--Real-Time Harmony, Randall R. Spangler, Rodney M. Goodman and Jim Hawkins [ps][pdf][djvu] Experiences with Bayesian Learning in a Real World Application, Peter Sykacek, Georg Dorffner, Peter Rappelsberger and Josef Zeitlhofer [ps][pdf][djvu] A Solution for Missing Data in Recurrent Neural Networks with anApplication to Blood Glucose Prediction, Volker Tresp and Thomas Briegel [ps][pdf][djvu] Use of a Multi-Layer Perceptron to Predict Malignancy in Ovarian Tumors, Herman Verrelst, Yves Moreau, Joos Vandewalle and Dirk Ttmmennan [ps][pdf][djvu] Modelling Seasonality and Trends in Daily Rainfall Data, Peter M. Williams [ps][pdf][djvu] The Observer-Observation Dilemma in Neuro-Forecasting, Hans Georg Zimmermann and Ralph Netmeier [ps][pdf][djvu] [ps][pdf][djvu] Generalized Prioritized Sweeping, David Andre, Nit Friedman and Ronald Parr [ps][pdf][djvu] Nonparametric Model-Based Reinforcement Learning, Christopher G. Atkeson [ps][pdf][djvu] An Improved Policy Iteration Algorithm for Partially Observable MDPS, Eric A. Hansen [ps][pdf][djvu] Automated Aircraft Recovery via Reinforcement Learning: Initial Experiments, Jeffrey F. Monaco, David G. Ward and Andrew G. Barto [ps][pdf][djvu] Reinforcement Learning for Continuous Stochastic Control Problems, Remi Munos and Paul Bourgine [ps][pdf][djvu] Adaptive Choice of Grid and Time in Reinforcement Learning, Stephan Pareigis [ps][pdf][djvu] Reinforcement Learning with Hierarchies of Machines, Ronald Parr and Stuart Russell [ps][pdf][djvu] Multi-time Models for Temporally Abstract Planning, Doina Precup and Richard S. Sutton [ps][pdf][djvu] How to Dynamically Merge Markov Decision Processes, Satinder Singh and David Cohn [ps][pdf][djvu] The Asymptotic Convergence-Rate of Q-learning, Csaba Szepesvttri [ps][pdf][djvu] Hybrid Reinforcement Learning and Its Application to Biped Robot Control, Satoshi Yamada, Akira Watanabe and Michio Nakashima [ps][pdf][djvu] Index of Authors [ps][pdf][djvu] Keyword Index [ps][pdf][djvu] |