Book

Advances in Neural Information Processing Systems 6 (NIPS 1993)

Edited by: J. Cowan and G. Tesauro and J. Alspector

Backpropagation without Multiplication Patrice Simard, Hans Graf
Hoeffding Races: Accelerating Model Selection Search for Classification and Function Approximation Oded Maron, Andrew Moore
Putting It All Together: Methods for Combining Neural Networks Michael Perrone
Cross-Validation Estimates IMSE Mark Plutowski, Shinichi Sakata, Halbert White
The Power of Amnesia Dana Ron, Yoram Singer, Naftali Tishby
On the Non-Existence of a Universal Learning Algorithm for Recurrent Neural Networks Herbert Wiklicky
Constructive Learning Using Internal Representation Conflicts Laurens Leerink, Marwan Jabri
A Local Algorithm to Learn Trajectories with Stochastic Neural Networks Javier Movellan
Use of Bad Training Data for Better Predictions Tal Grossman, Alan Lapedes
Non-Intrusive Gaze Tracking Using Artificial Neural Networks Shumeet Baluja, Dean Pomerleau
Learning Curves: Asymptotic Values and Rate of Convergence Corinna Cortes, L. D. Jackel, Sara Solla, Vladimir Vapnik, John Denker
How to Describe Neuronal Activity: Spikes, Rates, or Assemblies? Wulfram Gerstner, J. van Hemmen
Digital Boltzmann VLSI for constraint satisfaction and learning Michael Murray, Ming-Tak Leung, Kan Boonyanit, Kong Kritayakirana, James Burg, Gregory Wolff, Tokahiro Watanabe, Edward Schwartz, David Stork, Allen M. Peterson
Feature Densities are Required for Computing Feature Correspondences Subutai Ahmad
Emergence of Global Structure from Local Associations Thea Ghiselli-Crippa, Paul Munro
Robot Learning: Exploration and Continuous Domains David Cohn
Lower Boundaries of Motoneuron Desynchronization via Renshaw Interneurons Mitchell Maltenfort, Robert Druzinsky, C. Heckman, W. Rymer
Catastrophic interference in connectionist networks: Can It Be predicted, can It be prevented? Robert French
Signature Verification using a "Siamese" Time Delay Neural Network Jane Bromley, Isabelle Guyon, Yann LeCun, Eduard Säckinger, Roopak Shah
Connectionism for Music and Audition Andreas Weigend
Central and Pairwise Data Clustering by Competitive Neural Networks Joachim Buhmann, Thomas Hofmann
Processing of Visual and Auditory Space and Its Modification by Experience Josef Rauschecker, Terrence J. Sejnowski
A Connectionist Model of the Owl's Sound Localization System Daniel Rosen, David Rumelhart, Eric Knudsen
Identifying Fault-Prone Software Modules Using Feed-Forward Networks: A Case Study N. Karunanithi
Event-Driven Simulation of Networks of Spiking Neurons Lloyd Watts
Grammatical Inference by Attentional Control of Synchronization in an Oscillating Elman Network Bill Baird, Todd Troyer, Frank Eeckman
Bayesian Self-Organization Alan L. Yuille, Stelios Smirnakis, Lei Xu
The "Softmax" Nonlinearity: Derivation Using Statistical Mechanics and Useful Properties as a Multiterminal Analog Circuit Element I. M. Elfadel, J. L. Wyatt, Jr.
Robust Parameter Estimation and Model Selection for Neural Network Regression Yong Liu
Computational Elements of the Adaptive Controller of the Human Arm Reza Shadmehr, Ferdinando Mussa-Ivaldi
Transition Point Dynamic Programming Kenneth Buckland, Peter Lawrence
Dopaminergic Neuromodulation Brings a Dynamical Plasticity to the Retina Eric Boussard, Jean-François Vibert
Monte Carlo Matrix Inversion and Reinforcement Learning Andrew Barto, Michael Duff
Globally Trained Handwritten Word Recognizer using Spatial Representation, Convolutional Neural Networks, and Hidden Markov Models Yoshua Bengio, Yann LeCun, Donnie Henderson
Robust Reinforcement Learning in Motion Planning Satinder Singh, Andrew Barto, Roderic Grupen, Christopher Connolly
Optimal Stopping and Effective Machine Complexity in Learning Changfeng Wang, Santosh Venkatesh, J. Judd
Exploiting Chaos to Control the Future Gary Flake, Guo-Zhen Sun, Yee-Chun Lee
Backpropagation Convergence Via Deterministic Nonmonotone Perturbed Minimization O. L. Mangasarian, M. V. Solodov
Fool's Gold: Extracting Finite State Machines from Recurrent Network Dynamics John Kolen
Two Iterative Algorithms for Computing the Singular Value Decomposition from Input/Output Samples Terence Sanger
Efficient Computation of Complex Distance Metrics Using Hierarchical Filtering Patrice Simard
Statistics of Natural Images: Scaling in the Woods Daniel Ruderman, William Bialek
GDS: Gradient Descent Generation of Symbolic Classification Rules Reinhard Blasig
Packet Routing in Dynamically Changing Networks: A Reinforcement Learning Approach Justin Boyan, Michael Littman
A Massively-Parallel SIMD Processor for Neural Network and Machine Vision Applications Michael Glover, W. Miller
How to Choose an Activation Function H. N. Mhaskar, C. A.. Micchelli
Efficient Simulation of Biological Neural Networks on Massively Parallel Supercomputers with Hypercube Architecture Ernst Niebur, Dean Brettle
Convergence of Stochastic Iterative Dynamic Programming Algorithms Tommi Jaakkola, Michael Jordan, Satinder Singh
High Performance Neural Net Simulation on a Multiprocessor System with "Intelligent" Communication Urs A. Müller, Michael Kocheisen, Anton Gunzinger
An Analog VLSI Model of Central Pattern Generation in the Leech Micah Siegel
Non-Linear Statistical Analysis and Self-Organizing Hebbian Networks Jonathan Shapiro, Adam Prügel-Bennett
Locally Adaptive Nearest Neighbor Algorithms Dietrich Wettschereck, Thomas Dietterich
Bayesian Backprop in Action: Pruning, Committees, Error Bars and an Application to Spectroscopy Hans Thodberg
Solvable Models of Artificial Neural Networks Sumio Watanabe
A Comparative Study of a Modified Bumptree Neural Network with Radial Basis Function Networks and the Standard Multi Layer Perceptron Richard Bostock, Alan Harget
Generalization Error and the Expected Network Complexity Chuanyi Ji
Combined Neural Networks for Time Series Analysis Iris Ginzburg, David Horn
Illumination-Invariant Face Recognition with a Contrast Sensitive Silicon Retina Joachim Buhmann, Martin Lades, Frank Eeckman
Address Block Location with a Neural Net System Hans Graf, Eric Cosatto
Assessing the Quality of Learned Local Models Stefan Schaal, Christopher Atkeson
Synchronization, oscillations, and 1/f noise in networks of spiking neurons Martin Stemmler, Marius Usher, Christof Koch, Zeev Olami
What Does the Hippocampus Compute?: A Precis of the 1993 NIPS Workshop Mark Gluck
Unsupervised Learning of Mixtures of Multiple Causes in Binary Data Eric Saund
A Hodgkin-Huxley Type Neuron Model That Learns Slow Non-Spike Oscillation Kenji Doya, Allen Selverston, Peter Rowat
Memory-Based Methods for Regression and Classification Thomas Dietterich, Dietrich Wettschereck, Chris G. Atkeson, Andrew Moore
Neural Network Methods for Optimization Problems Arun Jagota
A Comparison of Dynamic Reposing and Tangent Distance for Drug Activity Prediction Thomas Dietterich, Ajay Jain, Richard Lathrop, Tomás Lozano-Pérez
Hoo Optimality Criteria for LMS and Backpropagation Babak Hassibi, Ali H. Sayed, Thomas Kailath
Classifying Hand Gestures with a View-Based Distributed Representation Trevor J. Darrell, Alex P. Pentland
Optimal Unsupervised Motor Learning Predicts the Internal Representation of Barn Owl Head Movements Terence Sanger
Amplifying and Linearizing Apical Synaptic Inputs to Cortical Pyramidal Cells Öjvind Bernander, Christof Koch, Rodney Douglas
Decoding Cursive Scripts Yoram Singer, Naftali Tishby
Foraging in an Uncertain Environment Using Predictive Hebbian Learning P. Montague, Peter Dayan, Terrence J. Sejnowski
Analysis of Short Term Memories for Neural Networks Jose C. Principe, Hui-H. Hsu, Jyh-Ming Kuo
Credit Assignment through Time: Alternatives to Backpropagation Yoshua Bengio, Paolo Frasconi
Analyzing Cross-Connected Networks Thomas Shultz, Jeffrey Elman
Recognition-based Segmentation of On-Line Cursive Handwriting Nicholas Flann
Implementing Intelligence on Silicon Using Neuron-Like Functional MOS Transistors Tadashi Shibata, Koji Kotani, Takeo Yamashita, Hiroshi Ishii, Hideo Kosaka, Tadahiro Ohmi
Probabilistic Anomaly Detection in Dynamic Systems Padhraic Smyth
Learning Complex Boolean Functions: Algorithms and Applications Arlindo Oliveira, Alberto Sangiovanni-Vincentelli
A Unified Gradient-Descent/Clustering Architecture for Finite State Machine Induction Sreerupa Das, Michael C. Mozer
Convergence of Indirect Adaptive Asynchronous Value Iteration Algorithms Vijaykumar Gullapalli, Andrew Barto
Fast Pruning Using Principal Components Asriel Levin, Todd Leen, John Moody
Hidden Markov Models for Human Genes Pierre Baldi, Søren Brunak, Yves Chauvin, Jacob Engelbrecht, Anders Krogh
Postal Address Block Location Using a Convolutional Locator Network Ralph Wolf, John Platt
An Analog VLSI Saccadic Eye Movement System Timothy Horiuchi, Brooks Bishofberger, Christof Koch
An Optimization Method of Layered Neural Networks based on the Modified Information Criterion Sumio Watanabe
A Computational Model for Cursive Handwriting Based on the Minimization Principle Yasuhiro Wada, Yasuharu Koike, Eric Vatikiotis-Bateson, Mitsuo Kawato
Discontinuous Generalization in Large Committee Machines H. Schwarze, J. Hertz
Inverse Dynamics of Speech Motor Control Makoto Hirayama, Eric Vatikiotis-Bateson, Mitsuo Kawato
Learning Temporal Dependencies in Connectionist Speech Recognition Steve Renals, Mike Hochberg, Tony Robinson
Odor Processing in the Bee: A Preliminary Study of the Role of Central Input to the Antennal Lobe Christiane Linster, David Marsan, Claudine Masson, Michel Kerszberg
Surface Learning with Applications to Lipreading Christoph Bregler, Stephen Omohundro
Figure of Merit Training for Detection and Spotting Eric Chang, Richard P. Lippmann
Generation of Internal Representation by α-Transformation Ryotaro Kamimura
Autoencoders, Minimum Description Length and Helmholtz Free Energy Geoffrey E. Hinton, Richard Zemel
Dual Mechanisms for Neural Binding and Segmentation Paul Sajda, Leif Finkel
The Statistical Mechanics of k-Satisfaction Scott Kirkpatrick, Géza Györgyi, Naftali Tishby, Lidror Troyansky
Lipreading by neural networks: Visual preprocessing, learning, and sensory integration Gregory Wolff, K. Prasad, David Stork, Marcus Hennecke
Dynamic Modulation of Neurons and Networks Eve Marder
Training Neural Networks with Deficient Data Volker Tresp, Subutai Ahmad, Ralph Neuneier
When will a Genetic Algorithm Outperform Hill Climbing Melanie Mitchell, John Holland, Stephanie Forrest
Unsupervised Parallel Feature Extraction from First Principles Mats Österberg, Reiner Lenz
Classification of Electroencephalogram using Artificial Neural Networks A C Tsoi, D S C So, A Sergejew
Comparison Training for a Rescheduling Problem in Neural Networks Didier Keymeulen, Martine de Gerlache
Bounds on the complexity of recurrent neural network implementations of finite state machines Bill Horne, Don Hush
Classification of Multi-Spectral Pixels by the Binary Diamond Neural Network Yehuda Salu
Optimal Brain Surgeon: Extensions and performance comparisons Babak Hassibi, David Stork, Gregory Wolff
Agnostic PAC-Learning of Functions on Analog Neural Nets Wolfgang Maass
Mixtures of Controllers for Jump Linear and Non-Linear Plants Timothy Cacciatore, Steven Nowlan
A Hybrid Radial Basis Function Neurocomputer and Its Applications Steven Watkins, Paul Chau, Raoul Tawel, Bjorn Lambrigtsen, Mark Plutowski
Resolving motion ambiguities K. I. Diamantaras, D. Geiger
Developing Population Codes by Minimizing Description Length Richard Zemel, Geoffrey E. Hinton
Learning in Computer Vision and Image Understanding Hayit Greenspan
Neural Network Definitions of Highly Predictable Protein Secondary Structure Classes Alan Lapedes, Evan Steeg, Robert Farber
Coupled Dynamics of Fast Neurons and Slow Interactions A.C.C. Coolen, R. Penney, D. Sherrington
Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming Christopher Atkeson
Connectionist Modeling and Parallel Architectures Joachim Diederich, Ah Tsoi
Structural and Behavioral Evolution of Recurrent Networks Gregory Saunders, Peter Angeline, Jordan Pollack
Two-Dimensional Object Localization by Coarse-to-Fine Correlation Matching Chien-Ping Lu, Eric Mjolsness
WATTLE: A Trainable Gain Analogue VLSI Neural Network Richard Coggins, Marwan Jabri
Neurobiology, Psychophysics, and Computational Models of Visual Attention Ernst Niebur, Bruno Olshausen
Bayesian Backpropagation Over I-O Functions Rather Than Weights David H. Wolpert
Fast Non-Linear Dimension Reduction Nanda Kambhatla, Todd Leen
Observability of Neural Network Behavior Max Garzon, Fernanda Botelho
Optimal Signalling in Attractor Neural Networks Isaac Meilijson, Eytan Ruppin
Neural Network Exploration Using Optimal Experiment Design David Cohn
Directional Hearing by the Mauthner System Audrey Guzik, Robert Eaton
Asynchronous Dynamics of Continuous Time Neural Networks Xin Wang, Qingnan Li, Edward Blum
Development of Orientation and Ocular Dominance Columns in Infant Macaques Klaus Obermayer, Lynne Kiorpes, Gary Blasdel
Counting function theorem for multi-layer networks Adam Kowalczyk
Supervised Learning with Growing Cell Structures Bernd Fritzke
A Learning Analog Neural Network Chip with Continuous-Time Recurrent Dynamics Gert Cauwenberghs
Functional Models of Selective Attention and Context Dependency Thomas Hildebrandt
Learning Classification with Unlabeled Data Virginia de Sa
Temporal Difference Learning of Position Evaluation in the Game of Go Nicol Schraudolph, Peter Dayan, Terrence J. Sejnowski
Recovering a Feed-Forward Net From Its Output Charles Fefferman, Scott Markel
Optimal Stochastic Search and Adaptive Momentum Todd Leen, Genevieve Orr
The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces Andrew Moore
Complexity Issues in Neural Computation and Learning V. P. Roychowdhury, K.-Y. Siu
Stability and Observability Max Garzon, Fernanda Botelho
The Role of MT Neuron Receptive Field Surrounds in Computing Object Shape from Velocity Fields G. Buracas, T. Albright
Estimating analogical similarity by dot-products of Holographic Reduced Representations Tony A. Plate
Segmental Neural Net Optimization for Continuous Speech Recognition Ying Zhao, Richard Schwartz, John Makhoul, George Zavaliagkos
Adaptive knot Placement for Nonparametric Regression Hossein L. Najafi, Vladimir Cherkassky
Bayesian Modeling and Classification of Neural Signals Michael Lewicki
Supervised learning from incomplete data via an EM approach Zoubin Ghahramani, Michael Jordan
Correlation Functions in a Large Stochastic Neural Network Iris Ginzburg, Haim Sompolinsky
Clustering with a Domain-Specific Distance Measure Steven Gold, Eric Mjolsness, Anand Rangarajan
Speaker Recognition Using Neural Tree Networks Kevin Farrell, Richard Mammone
Tonal Music as a Componential Code: Learning Temporal Relationships Between and Within Pitch and Timing Components Catherine Stevens, Janet Wiles
Connectionist Models for Auditory Scene Analysis Richard Duda
Learning in Compositional Hierarchies: Inducing the Structure of Objects from Data Joachim Utans
VLSI Phase Locking Architectures for Feature Linking in Multiple Target Tracking Systems Andreas Andreou, Thomas Edwards
A Network Mechanism for the Determination of Shape-From-Texture Kô Sakai, Leif Finkel
Encoding Labeled Graphs by Labeling RAAM Alessandro Sperduti
Learning Mackey-Glass from 25 examples, Plus or Minus 2 Mark Plutowski, Garrison Cottrell, Halbert White
Structured Machine Learning for 'Soft' Classification with Smoothing Spline ANOVA and Stacked Tuning, Testing and Evaluation Grace Wahba, Yuedong Wang, Chong Gu, Ronald Klein, MD, Barbara Klein, MD