Advances in Neural Information Processing Systems 8

NIPS 1995

Edited by D. Touretzky and M.C. Mozer and M. Hasselmo

152 papers

Learning to Predict Visibility and Invisibility from Occlusion Events Jonathan A. Marshall, Richard K. Alley, Robert S. Hubbard
Onset-based Sound Segmentation Leslie S. Smith
Beating a Defender in Robotic Soccer: Memory-Based Learning of a Continuous Function Peter Stone, Manuela M. Veloso
A Neural Network Autoassociator for Induction Motor Failure Prediction Thomas Petsche, Angelo Marcantonio, Christian Darken, Stephen Jose Hanson, Gary M. Kuhn, N. Iwan Santoso
The Gamma MLP for Speech Phoneme Recognition Steve Lawrence, Ah Chung Tsoi, Andrew D. Back
Laterally Interconnected Self-Organizing Maps in Hand-Written Digit Recognition Yoonsuck Choe, Joseph Sirosh, Risto Miikkulainen
Improved Silicon Cochlea using Compatible Lateral Bipolar Transistors André van Schaik, Eric Fragnière, Eric A. Vittoz
On the Computational Power of Noisy Spiking Neurons Wolfgang Maass
Parallel Optimization of Motion Controllers via Policy Iteration Jefferson A. Coelho Jr., R. Sitaraman, Roderic A. Grupen
Model Matching and SFMD Computation Steven Rehfuss, Dan W. Hammerstrom
Learning with ensembles: How overfitting can be useful Peter Sollich, Anders Krogh
Analog VLSI Processor Implementing the Continuous Wavelet Transform R. Timothy Edwards, Gert Cauwenberghs
A Novel Channel Selection System in Cochlear Implants Using Artificial Neural Network Marwan A. Jabri, Raymond J. Wang
Rapid Quality Estimation of Neural Network Input Representations Kevin J. Cherkauer, Jude W. Shavlik
Generating Accurate and Diverse Members of a Neural-Network Ensemble David W. Opitz, Jude W. Shavlik
A Model of Spatial Representations in Parietal Cortex Explains Hemineglect Alexandre Pouget, Terrence J. Sejnowski
Temporal Difference Learning in Continuous Time and Space Kenji Doya
Tempering Backpropagation Networks: Not All Weights are Created Equal Nicol N. Schraudolph, Terrence J. Sejnowski
Improving Policies without Measuring Merits Peter Dayan, Satinder P. Singh
Selective Attention for Handwritten Digit Recognition Ethem Alpaydin
Learning Model Bias Jonathan Baxter
Estimating the Bayes Risk from Sample Data Robert R. Snapp, Tong Xu
A Model of Auditory Streaming Susan L. McCabe, Michael J. Denham
Context-Dependent Classes in a Hybrid Recurrent Network-HMM Speech Recognition System Dan J. Kershaw, Anthony J. Robinson, Mike Hochberg
Exploiting Tractable Substructures in Intractable Networks Lawrence K. Saul, Michael I. Jordan
Statistical Theory of Overtraining - Is Cross-Validation Asymptotically Effective? Shun-ichi Amari, Noboru Murata, Klaus-Robert Müller, Michael Finke, Howard Hua Yang
Primitive Manipulation Learning with Connectionism Yoky Matsuoka
Silicon Models for Auditory Scene Analysis John Lazzaro, John Wawrzynek
Human Face Detection in Visual Scenes Henry A. Rowley, Shumeet Baluja, Takeo Kanade
SPERT-II: A Vector Microprocessor System and its Application to Large Problems in Backpropagation Training John Wawrzynek, Krste Asanovic, Brian Kingsbury, James Beck, David Johnson, Nelson Morgan
Pruning with generalization based weight saliencies: λOBD, λOBS Morten With Pedersen, Lars Kai Hansen, Jan Larsen
Stochastic Hillclimbing as a Baseline Method for Evaluating Genetic Algorithms Ari Juels, Martin Wattenberg
Using the Future to "Sort Out" the Present: Rankprop and Multitask Learning for Medical Risk Evaluation Rich Caruana, Shumeet Baluja, Tom Mitchell
Exponentially many local minima for single neurons Peter Auer, Mark Herbster, Manfred K. Warmuth
An Information-theoretic Learning Algorithm for Neural Network Classification David J. Miller, Ajit V. Rao, Kenneth Rose, Allen Gersho
Improving Elevator Performance Using Reinforcement Learning Robert H. Crites, Andrew G. Barto
Optimal Asset Allocation using Adaptive Dynamic Programming Ralph Neuneier
Recursive Estimation of Dynamic Modular RBF Networks Visakan Kadirkamanathan, Maha Kadirkamanathan
A Neural Network Classifier for the I100 OCR Chip John C. Platt, Timothy P. Allen
Modeling Saccadic Targeting in Visual Search Rajesh P. N. Rao, Gregory J. Zelinsky, Mary M. Hayhoe, Dana H. Ballard
Plasticity of Center-Surround Opponent Receptive Fields in Real and Artificial Neural Systems of Vision S. Yasui, T. Furukawa, M. Yamada, T. Saito
Active Gesture Recognition using Learned Visual Attention Trevor Darrell, Alex Pentland
On Neural Networks with Minimal Weights Vasken Bohossian, Jehoshua Bruck
Neural Networks with Quadratic VC Dimension Pascal Koiran, Eduardo D. Sontag
Factorial Hidden Markov Models Zoubin Ghahramani, Michael I. Jordan
Extracting Tree-Structured Representations of Trained Networks Mark Craven, Jude W. Shavlik
Improving Committee Diagnosis with Resampling Techniques Bambang Parmanto, Paul W. Munro, Howard R. Doyle
The Capacity of a Bump Gary William Flake
Boosting Decision Trees Harris Drucker, Corinna Cortes
Some results on convergent unlearning algorithm Serguei A. Semenov, Irina B. Shuvalova
Forward-backward retraining of recurrent neural networks Andrew W. Senior, Anthony J. Robinson
KODAK lMAGELINK™ OCR Alphanumeric Handprint Module Alexander Shustorovich, Christopher W. Thrasher
Predictive Q-Routing: A Memory-based Reinforcement Learning Approach to Adaptive Traffic Control Samuel P. M. Choi, Dit-Yan Yeung
High-Performance Job-Shop Scheduling With A Time-Delay TD(λ) Network Wei Zhang, Thomas G. Dietterich
Family Discovery Stephen M. Omohundro
Modeling Interactions of the Rat's Place and Head Direction Systems A. David Redish, David S. Touretzky
Empirical Entropy Manipulation for Real-World Problems Paul A. Viola, Nicol N. Schraudolph, Terrence J. Sejnowski
A Neural Network Model of 3-D Lightness Perception Luiz Pessoa, William D. Ross
Adaptive Retina with Center-Surround Receptive Field Shih-Chii Liu, Kwabena Boahen
Does the Wake-sleep Algorithm Produce Good Density Estimators? Brendan J. Frey, Geoffrey E. Hinton, Peter Dayan
EM Optimization of Latent-Variable Density Models Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams
Modern Analytic Techniques to Solve the Dynamics of Recurrent Neural Networks A.C.C. Coolen, S. N. Laughton, D. Sherrington
A Realizable Learning Task which Exhibits Overfitting Siegfried Bös
Simulation of a Thalamocortical Circuit for Computing Directional Heading in the Rat Hugh T. Blair
Clustering data through an analogy to the Potts model Marcelo Blatt, Shai Wiseman, Eytan Domany
Learning Fine Motion by Markov Mixtures of Experts Marina Meila, Michael I. Jordan
Stable LInear Approximations to Dynamic Programming for Stochastic Control Problems with Local Transitions Benjamin Van Roy, John N. Tsitsiklis
Generalisation of A Class of Continuous Neural Networks John Shawe-Taylor, Jieyu Zhao
Visual gesture-based robot guidance with a modular neural system Enno Littmann, Andrea Drees, Helge Ritter
Symplectic Nonlinear Component Analysis Lucas C. Parra
Independent Component Analysis of Electroencephalographic Data Scott Makeig, Anthony J. Bell, Tzyy-Ping Jung, Terrence J. Sejnowski
Competence Acquisition in an Autonomous Mobile Robot using Hardware Neural Techniques Geoffrey B. Jackson, Alan F. Murray
Gaussian Processes for Regression Christopher K. I. Williams, Carl Edward Rasmussen
Reorganisation of Somatosensory Cortex after Tactile Training Rasmus S. Petersen, John G. Taylor
Prediction of Beta Sheets in Proteins Anders Krogh, Soren Kamaric Riis
Active Learning in Multilayer Perceptrons Kenji Fukumizu
A model of transparent motion and non-transparent motion aftereffects Alexander Grunewald
Improved Gaussian Mixture Density Estimates Using Bayesian Penalty Terms and Network Averaging Dirk Ormoneit, Volker Tresp
A Practical Monte Carlo Implementation of Bayesian Learning Carl Edward Rasmussen
A Smoothing Regularizer for Recurrent Neural Networks Lizhong Wu, John E. Moody
REMAP: Recursive Estimation and Maximization of A Posteriori Probabilities - Application to Transition-Based Connectionist Speech Recognition Yochai Konig, Hervé Bourlard, Nelson Morgan
Harmony Networks Do Not Work René Gourley
Learning Sparse Perceptrons Jeffrey C. Jackson, Mark Craven
The Role of Activity in Synaptic Competition at the Neuromuscular Junction Samuel R. H. Joseph, David J. Willshaw
Absence of Cycles in Symmetric Neural Networks Xin Wang, Arun K. Jagota, Fernanda Botelho, Max H. Garzon
Explorations with the Dynamic Wave Model Thomas P. Rebotier, Jeffrey L. Elman
Generalization in Reinforcement Learning: Successful Examples Using Sparse Coarse Coding Richard S. Sutton
A Multiscale Attentional Framework for Relaxation Neural Networks Dimitris I. Tsioutsias, Eric Mjolsness
VLSI Model of Primate Visual Smooth Pursuit Ralph Etienne-Cummings, Jan Van der Spiegel, Paul Mueller
Reinforcement Learning by Probability Matching Philip N. Sabes, Michael I. Jordan
Generalized Learning Vector Quantization Atsushi Sato, Keiji Yamada
Bayesian Methods for Mixtures of Experts Steve R. Waterhouse, David MacKay, Anthony J. Robinson
High-Speed Airborne Particle Monitoring Using Artificial Neural Networks Alistair Ferguson, Theo Sabisch, Paul Kaye, Laurence C. Dixon, Hamid Bolouri
Adaptive Mixture of Probabilistic Transducers Yoram Singer
SEEMORE: A View-Based Approach to 3-D Object Recognition Using Multiple Visual Cues Bartlett W. Mel
Using Pairs of Data-Points to Define Splits for Decision Trees Geoffrey E. Hinton, Michael Revow
Dynamics of On-Line Gradient Descent Learning for Multilayer Neural Networks David Saad, Sara A. Solla
Geometry of Early Stopping in Linear Networks Robert H. Dodier
A Unified Learning Scheme: Bayesian-Kullback Ying-Yang Machine Lei Xu
Using Feedforward Neural Networks to Monitor Alertness from Changes in EEG Correlation and Coherence Scott Makeig, Tzyy-Ping Jung, Terrence J. Sejnowski
A Dynamical Model of Context Dependencies for the Vestibulo-Ocular Reflex Olivier J. M. D. Coenen, Terrence J. Sejnowski
Constructive Algorithms for Hierarchical Mixtures of Experts Steve R. Waterhouse, Anthony J. Robinson
Discovering Structure in Continuous Variables Using Bayesian Networks Reimar Hofmann, Volker Tresp
Temporal coding in the sub-millisecond range: Model of barn owl auditory pathway Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen, Hermann Wagner
Stable Dynamic Parameter Adaption Stefan M. Rüger
Optimizing Cortical Mappings Geoffrey J. Goodhill, Steven Finch, Terrence J. Sejnowski
Experiments with Neural Networks for Real Time Implementation of Control Peter K. Campbell, Michael Dale, Herman L. Ferrá, Adam Kowalczyk
Cholinergic suppression of transmission may allow combined associative memory function and self-organization in the neocortex Michael E. Hasselmo, Milos Cekic
Dynamics of Attention as Near Saddle-Node Bifurcation Behavior Hiroyuki Nakahara, Kenji Doya
Softassign versus Softmax: Benchmarks in Combinatorial Optimization Steven Gold, Anand Rangarajan
From Isolation to Cooperation: An Alternative View of a System of Experts Stefan Schaal, Christopher G. Atkeson
Fast Learning by Bounding Likelihoods in Sigmoid Type Belief Networks Tommi Jaakkola, Lawrence K. Saul, Michael I. Jordan
Neural Control for Nonlinear Dynamic Systems Ssu-Hsin Yu, Anuradha M. Annaswamy
Sample Complexity for Learning Recurrent Perceptron Mappings Bhaskar DasGupta, Eduardo D. Sontag
Is Learning The n-th Thing Any Easier Than Learning The First? Sebastian Thrun
Parallel analog VLSI architectures for computation of heading direction and time-to-contact Giacomo Indiveri, Jörg Kramer, Christof Koch
A Dynamical Systems Approach for a Learnable Autonomous Robot Jun Tani, Naohiro Fukumura
Optimization Principles for the Neural Code Michael DeWeese
A Framework for Non-rigid Matching and Correspondence Suguna Pappu, Steven Gold, Anand Rangarajan
Hierarchical Recurrent Neural Networks for Long-Term Dependencies Salah El Hihi, Yoshua Bengio
Finite State Automata that Recurrent Cascade-Correlation Cannot Represent Stefan C. Kremer
Memory-based Stochastic Optimization Andrew W. Moore, Jeff G. Schneider
Handwritten Word Recognition using Contextual Hybrid Radial Basis Function Network/Hidden Markov Models Bernard Lemarié, Michel Gilloux, Manuel Leroux
Universal Approximation and Learning of Trajectories Using Oscillators Pierre Baldi, Kurt Hornik
Correlated Neuronal Response: Time Scales and Mechanisms Wyeth Bair, Ehud Zohary, Christof Koch
Worst-case Loss Bounds for Single Neurons David P. Helmbold, Jyrki Kivinen, Manfred K. Warmuth
Stock Selection via Nonlinear Multi-Factor Models Asriel E. Levin
The Geometry of Eye Rotations and Listing's Law Amir A. Handzel, Tamar Flash
When is an Integrate-and-fire Neuron like a Poisson Neuron? Charles F. Stevens, Anthony M. Zador
Examples of learning curves from a modified VC-formalism Adam Kowalczyk, Jacek Szymanski, Peter L. Bartlett, Robert C. Williamson
Using Unlabeled Data for Supervised Learning Geoffrey G. Towell
Implementation Issues in the Fourier Transform Algorithm Yishay Mansour, Sigal Sahar
A Bound on the Error of Cross Validation Using the Approximation and Estimation Rates, with Consequences for the Training-Test Split Michael J. Kearns
Classifying Facial Action Marian Stewart Bartlett, Paul A. Viola, Terrence J. Sejnowski, Beatrice A. Golomb, Jan Larsen, Joseph C. Hager, Paul Ekman
Strong Unimodality and Exact Learning of Constant Depth µ-Perceptron Networks Mario Marchand, Saeed Hadjifaradji
Gradient and Hamiltonian Dynamics Applied to Learning in Neural Networks James W. Howse, Chaouki T. Abdallah, Gregory L. Heileman
A New Learning Algorithm for Blind Signal Separation Shun-ichi Amari, Andrzej Cichocki, Howard Hua Yang
Adaptive Back-Propagation in On-Line Learning of Multilayer Networks Ansgar H. L. West, David Saad
Neuron-MOS Temporal Winner Search Hardware for Fully-Parallel Data Processing Tadashi Shibata, Tsutomu Nakai, Tatsuo Morimoto, Ryu Kaihara, Takeo Yamashita, Tadahiro Ohmi
Human Reading and the Curse of Dimensionality Gale Martin
Unsupervised Pixel-prediction William R. Softky
Control of Selective Visual Attention: Modeling the "Where" Pathway Ernst Niebur, Christof Koch
Quadratic-Type Lyapunov Functions for Competitive Neural Networks with Different Time-Scales Anke Meyer-Bäse
Learning long-term dependencies is not as difficult with NARX networks Tsungnan Lin, Bill G. Horne, Peter Tiño, C. Lee Giles
Learning the Structure of Similarity Joshua B. Tenenbaum
Investment Learning with Hierarchical PSOMs Jörg A. Walter, Helge Ritter
How Perception Guides Production in Birdsong Learning Christopher L. Fry
Stable Fitted Reinforcement Learning Geoffrey J. Gordon
Information through a Spiking Neuron Charles F. Stevens, Anthony M. Zador
Discriminant Adaptive Nearest Neighbor Classification and Regression Trevor Hastie, Robert Tibshirani
A Predictive Switching Model of Cerebellar Movement Control Andrew G. Barto, James C. Houk
Recurrent Neural Networks for Missing or Asynchronous Data Yoshua Bengio, Francois Gingras

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