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
- 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
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