Advances in Neural Information Processing Systems 11

NIPS 1998

Edited by M. Kearns and S. Solla and D. Cohn

151 papers

Computational Differences between Asymmetrical and Symmetrical Networks Zhaoping Li, Peter Dayan
A Randomized Algorithm for Pairwise Clustering Yoram Gdalyahu, Daphna Weinshall, Michael Werman
Risk Sensitive Reinforcement Learning Ralph Neuneier, Oliver Mihatsch
Convergence of the Wake-Sleep Algorithm Shiro Ikeda, Shun-ichi Amari, Hiroyuki Nakahara
Mean Field Methods for Classification with Gaussian Processes Manfred Opper, Ole Winther
Learning from Dyadic Data Thomas Hofmann, Jan Puzicha, Michael I. Jordan
Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model Jaakko Hollmén, Volker Tresp
Analyzing and Visualizing Single-Trial Event-Related Potentials Tzyy-Ping Jung, Scott Makeig, Marissa Westerfield, Jeanne Townsend, Eric Courchesne, Terrence J. Sejnowski
Learning Nonlinear Dynamical Systems Using an EM Algorithm Zoubin Ghahramani, Sam T. Roweis
Replicator Equations, Maximal Cliques, and Graph Isomorphism Marcello Pelillo
Orientation, Scale, and Discontinuity as Emergent Properties of Illusory Contour Shape Karvel K. Thornber, Lance R. Williams
Active Noise Canceling Using Analog Neuro-Chip with On-Chip Learning Capability Jung-Wook Cho, Soo-Young Lee
Coordinate Transformation Learning of Hand Position Feedback Controller by Using Change of Position Error Norm Eimei Oyama, Susumu Tachi
Multi-Electrode Spike Sorting by Clustering Transfer Functions Dmitry Rinberg, Hanan Davidowitz, Naftali Tishby
Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models Thomas Briegel, Volker Tresp
Probabilistic Modeling for Face Orientation Discrimination: Learning from Labeled and Unlabeled Data Shumeet Baluja
Direct Optimization of Margins Improves Generalization in Combined Classifiers Llew Mason, Peter L. Bartlett, Jonathan Baxter
A Neuromorphic Monaural Sound Localizer John G. Harris, Chiang-Jung Pu, José Carlos Príncipe
Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks Patrice Simard, Léon Bottou, Patrick Haffner, Yann LeCun
Experimental Results on Learning Stochastic Memoryless Policies for Partially Observable Markov Decision Processes John K. Williams, Satinder P. Singh
Attentional Modulation of Human Pattern Discrimination Psychophysics Reproduced by a Quantitative Model Laurent Itti, Jochen Braun, Dale K. Lee, Christof Koch
Signal Detection in Noisy Weakly-Active Dendrites Amit Manwani, Christof Koch
Kernel PCA and De-Noising in Feature Spaces Sebastian Mika, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller, Matthias Scholz, Gunnar Rätsch
Multiple Paired Forward-Inverse Models for Human Motor Learning and Control Masahiko Haruno, Daniel M. Wolpert, Mitsuo Kawato
SMEM Algorithm for Mixture Models Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton
Learning Lie Groups for Invariant Visual Perception Rajesh P. N. Rao, Daniel L. Ruderman
Tractable Variational Structures for Approximating Graphical Models David Barber, Wim Wiegerinck
A Micropower CMOS Adaptive Amplitude and Shift Invariant Vector Quantiser Richard Coggins, Raymond J. Wang, Marwan A. Jabri
Convergence Rates of Algorithms for Visual Search: Detecting Visual Contours Alan L. Yuille, James M. Coughlan
Learning to Find Pictures of People Sergey Ioffe, David A. Forsyth
Visualizing Group Structure Marcus Held, Jan Puzicha, Joachim M. Buhmann
Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model Eero P. Simoncelli, Odelia Schwartz
Familiarity Discrimination of Radar Pulses Eric Granger, Stephen Grossberg, Mark A. Rubin, William W. Streilein
Graphical Models for Recognizing Human Interactions Nuria Oliver, Barbara Rosario, Alex Pentland
An Entropic Estimator for Structure Discovery Matthew Brand
The Effect of Correlations on the Fisher Information of Population Codes Hyoungsoo Yoon, Haim Sompolinsky
Spike-Based Compared to Rate-Based Hebbian Learning Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen
Contrast Adaptation in Simple Cells by Changing the Transmitter Release Probability Péter Adorján, Klaus Obermayer
Optimizing Correlation Algorithms for Hardware-Based Transient Classification R. Timothy Edwards, Gert Cauwenberghs, Fernando J. Pineda
Information Maximization in Single Neurons Martin Stemmler, Christof Koch
Mechanisms of Generalization in Perceptual Learning Zili Liu, Daphna Weinshall
Probabilistic Image Sensor Fusion Ravi K. Sharma, Todd K. Leen, Misha Pavel
On-Line Learning with Restricted Training Sets: Exact Solution as Benchmark for General Theories H. C. Rae, Peter Sollich, Anthony C. C. Coolen
Phase Diagram and Storage Capacity of Sequence-Storing Neural Networks A. Düring, Anthony C. C. Coolen, D. Sherrington
Example-Based Image Synthesis of Articulated Figures Trevor Darrell
Shrinking the Tube: A New Support Vector Regression Algorithm Bernhard Schölkopf, Peter L. Bartlett, Alex J. Smola, Robert C. Williamson
Lazy Learning Meets the Recursive Least Squares Algorithm Mauro Birattari, Gianluca Bontempi, Hugues Bersini
Reinforcement Learning for Trading John E. Moody, Matthew Saffell
Distributional Population Codes and Multiple Motion Models Richard S. Zemel, Peter Dayan
Using Collective Intelligence to Route Internet Traffic David Wolpert, Kagan Tumer, Jeremy Frank
Sparse Code Shrinkage: Denoising by Nonlinear Maximum Likelihood Estimation Aapo Hyvärinen, Patrik O. Hoyer, Erkki Oja
Finite-Dimensional Approximation of Gaussian Processes Giancarlo Ferrari-Trecate, Christopher K. I. Williams, Manfred Opper
Controlling the Complexity of HMM Systems by Regularization Christoph Neukirchen, Gerhard Rigoll
Scheduling Straight-Line Code Using Reinforcement Learning and Rollouts Amy McGovern, J. Eliot B. Moss
Learning to Estimate Scenes from Images William T. Freeman, Egon C. Pasztor
Learning Curves for Gaussian Processes Peter Sollich
Facial Memory Is Kernel Density Estimation (Almost) Matthew N. Dailey, Garrison W. Cottrell, Thomas A. Busey
VLSI Implementation of Motion Centroid Localization for Autonomous Navigation Ralph Etienne-Cummings, Viktor Gruev, Mohammed Abdel Ghani
Discontinuous Recall Transitions Induced by Competition Between Short- and Long-Range Interactions in Recurrent Networks N. S. Skantzos, C. F. Beckmann, Anthony C. C. Coolen
An Integrated Vision Sensor for the Computation of Optical Flow Singular Points Charles M. Higgins, Christof Koch
Robust, Efficient, Globally-Optimized Reinforcement Learning with the Parti-Game Algorithm Mohammad A. Al-Ansari, Ronald J. Williams
Learning a Hierarchical Belief Network of Independent Factor Analyzers Hagai Attias
A Reinforcement Learning Algorithm in Partially Observable Environments Using Short-Term Memory Nobuo Suematsu, Akira Hayashi
Maximum-Likelihood Continuity Mapping (MALCOM): An Alternative to HMMs David A. Nix, John E. Hogden
Semiparametric Support Vector and Linear Programming Machines Alex J. Smola, Thilo-Thomas Frieß, Bernhard Schölkopf
Regularizing AdaBoost Gunnar Rätsch, Takashi Onoda, Klaus R. Müller
Graph Matching for Shape Retrieval Benoit Huet, Andrew D. J. Cross, Edwin R. Hancock
DTs: Dynamic Trees Christopher K. I. Williams, Nicholas J. Adams
Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields Dan Cornford, Ian T. Nabney, Christopher K. I. Williams
The Belief in TAP Yoshiyuki Kabashima, David Saad
Synergy and Redundancy among Brain Cells of Behaving Monkeys Itay Gat, Naftali Tishby
Classification on Pairwise Proximity Data Thore Graepel, Ralf Herbrich, Peter Bollmann-Sdorra, Klaus Obermayer
Using Analytic QP and Sparseness to Speed Training of Support Vector Machines John C. Platt
Dynamically Adapting Kernels in Support Vector Machines Nello Cristianini, Colin Campbell, John Shawe-Taylor
Temporally Asymmetric Hebbian Learning, Spike liming and Neural Response Variability L. F. Abbott, Sen Song
Learning Mixture Hierarchies Nuno Vasconcelos, Andrew Lippman
On the Optimality of Incremental Neural Network Algorithms Ron Meir, Vitaly Maiorov
Optimizing Admission Control while Ensuring Quality of Service in Multimedia Networks via Reinforcement Learning Timothy X. Brown, Hui Tong, Satinder P. Singh
Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations Michael S. Lewicki, Terrence J. Sejnowski
Evidence for a Forward Dynamics Model in Human Adaptive Motor Control Nikhil Bhushan, Reza Shadmehr
Restructuring Sparse High Dimensional Data for Effective Retrieval Charles Lee Isbell Jr., Paul A. Viola
Classification in Non-Metric Spaces Daphna Weinshall, David W. Jacobs, Yoram Gdalyahu
Approximate Learning of Dynamic Models Xavier Boyen, Daphne Koller
Independent Component Analysis of Intracellular Calcium Spike Data Klaus Prank, Julia Börger, Alexander von zur Mühlen, Georg Brabant, Christof Schöfl
A Model for Associative Multiplication G. Bjorn Christianson, Suzanna Becker
Batch and On-Line Parameter Estimation of Gaussian Mixtures Based on the Joint Entropy Yoram Singer, Manfred K. Warmuth
Learning Macro-Actions in Reinforcement Learning Jette Randlov
Fast Neural Network Emulation of Dynamical Systems for Computer Animation Radek Grzeszczuk, Demetri Terzopoulos, Geoffrey E. Hinton
Neural Networks for Density Estimation Malik Magdon-Ismail, Amir F. Atiya
Improved Switching among Temporally Abstract Actions Richard S. Sutton, Satinder P. Singh, Doina Precup, Balaraman Ravindran
Dynamics of Supervised Learning with Restricted Training Sets Anthony C. C. Coolen, David Saad
Efficient Bayesian Parameter Estimation in Large Discrete Domains Nir Friedman, Yoram Singer
A Polygonal Line Algorithm for Constructing Principal Curves Balázs Kégl, Adam Krzyzak, Tamás Linder, Kenneth Zeger
Neuronal Regulation Implements Efficient Synaptic Pruning Gal Chechik, Isaac Meilijson, Eytan Ruppin
Finite-Sample Convergence Rates for Q-Learning and Indirect Algorithms Michael J. Kearns, Satinder P. Singh
Global Optimisation of Neural Network Models via Sequential Sampling João F. G. de Freitas, Mahesan Niranjan, Arnaud Doucet, Andrew H. Gee
Non-Linear PI Control Inspired by Biological Control Systems Lyndon J. Brown, Gregory E. Gonye, James S. Schwaber
Linear Hinge Loss and Average Margin Claudio Gentile, Manfred K. Warmuth
Learning Instance-Independent Value Functions to Enhance Local Search Robert Moll, Andrew G. Barto, Theodore J. Perkins, Richard S. Sutton
Support Vector Machines Applied to Face Recognition P. Jonathon Phillips
A Theory of Mean Field Approximation Toshiyuki Tanaka
Unsupervised and Supervised Clustering: The Mutual Information between Parameters and Observations Didier Herschkowitz, Jean-Pierre Nadal
Stationarity and Stability of Autoregressive Neural Network Processes Friedrich Leisch, Adrian Trapletti, Kurt Hornik
A Principle for Unsupervised Hierarchical Decomposition of Visual Scenes Michael Mozer
Gradient Descent for General Reinforcement Learning Leemon C. Baird III, Andrew W. Moore
Vertex Identification in High Energy Physics Experiments Gideon Dror, Halina Abramowicz, David Horn
Probabilistic Visualisation of High-Dimensional Binary Data Michael E. Tipping
Computation of Smooth Optical Flow in a Feedback Connected Analog Network Alan Stocker, Rodney J. Douglas
Applications of Multi-Resolution Neural Networks to Mammography Clay Spence, Paul Sajda
Divisive Normalization, Line Attractor Networks and Ideal Observers Sophie Denève, Alexandre Pouget, Peter E. Latham
Robot Docking Using Mixtures of Gaussians Matthew M. Williamson, Roderick Murray-Smith, Volker Hansen
Semi-Supervised Support Vector Machines Kristin P. Bennett, Ayhan Demiriz
A Phase Space Approach to Minimax Entropy Learning and the Minutemax Approximations James M. Coughlan, Alan L. Yuille
Almost Linear VC Dimension Bounds for Piecewise Polynomial Networks Peter L. Bartlett, Vitaly Maiorov, Ron Meir
Bayesian Modeling of Facial Similarity Baback Moghaddam, Tony Jebara, Alex Pentland
The Bias-Variance Tradeoff and the Randomized GACV Grace Wahba, Xiwu Lin, Fangyu Gao, Dong Xiang, Ronald Klein, Barbara Klein
The Role of Lateral Cortical Competition in Ocular Dominance Development Christian Piepenbrock, Klaus Obermayer
General Bounds on Bayes Errors for Regression with Gaussian Processes Manfred Opper, Francesco Vivarelli
Bayesian PCA Christopher M. Bishop
A Precise Characterization of the Class of Languages Recognized by Neural Nets under Gaussian and Other Common Noise Distributions Wolfgang Maass, Eduardo D. Sontag
General-Purpose Localization of Textured Image Regions Ruth Rosenholtz
Making Templates Rotationally Invariant. An Application to Rotated Digit Recognition Shumeet Baluja
Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage Yves Grandvalet, Stéphane Canu
Bayesian Modeling of Human Concept Learning Joshua B. Tenenbaum
Maximum Conditional Likelihood via Bound Maximization and the CEM Algorithm Tony Jebara, Alex Pentland
Source Separation as a By-Product of Regularization Sepp Hochreiter, Jürgen Schmidhuber
Analog VLSI Cellular Implementation of the Boundary Contour System Gert Cauwenberghs, James Waskiewicz
Unsupervised Classification with Non-Gaussian Mixture Models Using ICA Te-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski
Barycentric Interpolators for Continuous Space and Time Reinforcement Learning Rémi Munos, Andrew W. Moore
Exploiting Generative Models in Discriminative Classifiers Tommi Jaakkola, David Haussler
Learning a Continuous Hidden Variable Model for Binary Data Daniel D. Lee, Haim Sompolinsky
Perceiving without Learning: From Spirals to Inside/Outside Relations Ke Chen, DeLiang L. Wang
Optimizing Classifers for Imbalanced Training Sets Grigoris I. Karakoulas, John Shawe-Taylor
Blind Separation of Filtered Sources Using State-Space Approach Liqing Zhang, Andrzej Cichocki
Recurrent Cortical Amplification Produces Complex Cell Responses Frances S. Chance, Sacha B. Nelson, L. F. Abbott
Viewing Classifier Systems as Model Free Learning in POMDPs Akira Hayashi, Nobuo Suematsu
Reinforcement Learning Based on On-Line EM Algorithm Masa-aki Sato, Shin Ishii
Learning Multi-Class Dynamics Andrew Blake, Ben North, Michael Isard
Markov Processes on Curves for Automatic Speech Recognition Lawrence K. Saul, Mazin G. Rahim
Discovering Hidden Features with Gaussian Processes Regression Francesco Vivarelli, Christopher K. I. Williams
Utilizing lime: Asynchronous Binding Bradley C. Love
Very Fast EM-Based Mixture Model Clustering Using Multiresolution Kd-Trees Andrew W. Moore
Tight Bounds for the VC-Dimension of Piecewise Polynomial Networks Akito Sakurai
The Effect of Eligibility Traces on Finding Optimal Memoryless Policies in Partially Observable Markov Decision Processes John Loch
Exploratory Data Analysis Using Radial Basis Function Latent Variable Models Alan D. Marrs, Andrew R. Webb
A V1 Model of Pop Out and Asymmetty in Visual Search Zhaoping Li
A High Performance k-NN Classifier Using a Binary Correlation Matrix Memory Ping Zhou, Jim Austin, John Kennedy
Exploring Unknown Environments with Real-Time Search or Reinforcement Learning Sven Koenig
Inference in Multilayer Networks via Large Deviation Bounds Michael J. Kearns, Lawrence K. Saul
Basis Selection for Wavelet Regression Kevin R. Wheeler, Atam P. Dhawan
Where Does the Population Vector of Motor Cortical Cells Point during Reaching Movements? Pierre Baraduc, Emmanuel Guigon, Yves Burnod

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