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Neuron Digest Volume 08 Number 08
Neuron Digest Sunday, 10 Nov 1991 Volume 8 : Issue 8
Today's Topics:
NIPS*91 UPDATE - Final Oral Program
NIPS*91 UPDATE - Poster Sessions
Send submissions, questions, address maintenance, and requests for old
issues to "neuron-request@cattell.psych.upenn.edu". The ftp archives are
available from cattell.psych.upenn.edu (128.91.2.173). Back issues
requested by mail will eventually be sent, but may take a while.
----------------------------------------------------------------------
Subject: NIPS*91 UPDATE - Final Oral Program
From: Steve Hanson <jose@tractatus.siemens.com>
Date: Mon, 23 Sep 91 18:39:27 -0500
NIPS*91 FINAL ORAL PROGRAM
MONDAY DECEMBER 2
After Dinner Talk:
Allan Hobson, Harvard Medical School
"Models Wanted: Must Fit Dimensions of Sleep and Dreaming"
TUESDAY DECEMBER 3
ORAL 1: LEARNING and GENERALIZATION I
O.1.1 V. Vapnik, Institute of Control Sciences, Academy of Sciences
"Principles of Risk Minimization for Learning Theory" (INVITED TALK)
O.1.2 D. MacKay, Caltech
"A Practical Bayesian Framework for Backprop Networks"
0.1.3 J .Moody, Yale Computer Science
" Generalization, Weight Decay, and Architecture Selection for
Nonlinear Learning Systems"
O.1.4 D. Haussler UC Santa Cruz
M. Kearns, International Computer Science Institute
M. Opper, Institute fuer Theoretische Physik
R. Schapire, Harvard University
"Estimating Average-Case Learning Curves Using Bayesian,
Statistical Physics and VC Dimension Methods"
ORAL 2: TEMPORAL PROCESSING
O.2.1 S. P. Singh, University of Massachusetts
"The Efficient Learning of Multiple Task Sequences"
O.2.2 G. Tesauro, IBM
"Practical Issues in Temporal Difference Learning"
O.2.3 H. Hild, Universitat Karlsruhe
W. Menzel, Universitat Karlsruhe
J. Feulner, Universitat Karlsruhe
"A Neural Net For Harmonizing Chorals in the Style of J.S. Bach"
O.2.4 M.A. Jabri, Sydney University
S. Pickard, Sydney University
P. Leong, Sydney University
Z. Chi, Sydney University
B. Flower, Sydney University
"Architectures and Implementation of Right Ventricular Apex
Signal Classifiers for Pacemakers"
SPOTLIGHT I: TEMPORAL PROCESSING
ORAL 3: VISUAL PROCESSING
O.3.1 D. A. Robinson, Johns Hopkins University School of Medicine
"Information Processing to Create Eye-Movements" (INVITED TALK)
O.3.2 S. Becker, University of Toronto
G. E. Hinton, University of Toronto
"Learning to Make Coherent Predictions in Domains
with Discontinuities"
O.3.3 K. A. Boahen, Caltech
A. G. Andreou, John Hopkins
"A Contrast Sensitive Silicon Retina with Reciprocal Synapses"
O.3.4 P.A. Viola, MIT
S.G. Lisberger, UC San Francisco
T.J. Sejnowski, Salk Institute for Biological Science,
"Recurrent Eye Tracking Network Using a Distributed
Representation of Image Motion"
ORAL 4: OPTICAL CHARACTER RECOGNITION
O.4.1 F. Faggin, Synaptics
"Neural Network Analog VLSI Implementations" (INVITED TALK)
O.4.2 J. D. Keeler, MCC
D. E. Rumelhart, Stanford University
"Self-Organizing Segmentation and Recognition Neural Network"
O.4.3 I. Guyon, ATt&T Bell Laboratories
V.N. Vapnik, ATt&T Bell Laboratories
B.E. Boser, ATt&T Bell Laboratories
L.Y. Bottou, ATt&T Bell Laboratories
S.A. Solla, ATt&T Bell Laboratories
"Structural Risk Minimization for Character Recognition"
SPOTLIGHT II: VISUAL PROCESSING AND OCR
SPOTLIGHT III: APPLICATIONS and PERFORMANCE COMPARISONS
WEDNESDAY DECEMBER 4
ORAL 5: LEARNING and GENERALIZATION II
O.5.1 J. S. Judd, Siemens Research
"Constant-Time Loading of Shallow 1-Dimensional Networks"
O.5.2 J. Alspector, Bellcore
A. Jayakumar,Bellcore
S. Luna, University of California
"Experimental Evaluation of Learning in a Neural Microsystem"
O.5.3 C. McMillan, University of Colorado
M. C. Mozer, University of Colorado
P. Smolensky, University of Colorado
"Rule Induction Through A Combination of Symbolic and
Subsymbolic Processing"
O.5.4 G. Towell, University of Wisconsin-Madison
J. W. Shavlik, University of Wisconsin-Madison
"Interpretation of Artificial Neural Networks: Mapping
Knowledge-Based NN into Rules"
SPOTLIGHT IV: LEARNING & ARCHITECTURES
ORAL 6: LOCOMOTION, PLANNING & CONTROL
O.6.1 A. W. Moore, MIT
"Fast, Robust Adaptive Control by Learning only Forward Models"
O.6.2 S. B. Thrun, German National Research Center for Computer Science
K. Moeller, University of Bonn
"Active Exploration in Dynamic Environments"
O.6.3 J. Buchanan, Marquette University
"Locomotion In A Lower Vertebrate:
Studies of The Cellular Basis Of
Rhythmogenesis and Oscillator Coupling"
O.6.4 M. Lemmon, University of Notre Dame
"Oscillatory Neural Networks for Globally Optimal Path Planning"
SPOTLIGHT V: NEURAL CONTROL
ORAL 7: SELF ORGANIZATION, ARCHITECTURES and LEARNING
O.7.1 M. I. Jordan, MIT
R. A. Jacobs , MIT
"Hierarchies of Adaptive Experts"
O.7.3 S. J. Nowlan, University of Toronto
G. E. Hinton, University of Toronto
"Adaptive Soft Weight Tying using Gaussian Mixtures"
O.7.4 D. Rogers, Research Institute for Advanced Computer Science
"Friedman's Multivariate Adaptive Regression Splines
(MARS)Algorithm with Holland's Genetic Algorithm"
O.7.5 D. Wettschereck, Oregon State University
T. Dietterich, Oregon State University
"Improving the Performance of Radial Basis Function
Networks by Learning Center Locations"
SPOTLIGHT VI: SPEECH
ORAL 8: VISUAL SYSTEM
O.8.1 A. Bonds, Vanderbilt University
"Dual Inhibitory Mechanisms for Definition of Receptive
Field Characteristics in Cat Striate Cortex"
O.8.2 K. Obermayer, University of Illinois
K. Schulten, University of Illinois
G.G. Blasdel, Harvard Medical School
"Comparison Between a Neural Network Model for the Formation
of Brain Maps and Experimental Data"
O.8.3 R. Kessing, Ricoh California Research Center
D. Stork, Ricoh California Research Center
C.J. Schatz, Stanford University School of Medicine
"Retinogeniculate Development: The Role of Competition and
Correlated Retinal Activity"
SPOTLIGHT VII: LEARNING & ARCHITECTURES
THURSDAY DECEMBER 5
ORAL 9: APPLICATIONS
O.9.1 M. R. Rutenburg, NeuroMedical Systems, Inc,
"PapNET: A Neural Net Based Cytological Screening System" (INVITED TALK)
O.9.2 M. Roscheisen Munich Technical University
R. Hofmann, Munich Technical University
V. Tresp, Siemens AG
"Incorporating Prior Knowledge in Parsimonious Networks of
Locally-Tuned Units"
O.9.3 P. Smyth, JPL
J. Mellstrom, JPL
"Fault Diagnosis of Antenna Pointing Systems using
Hybrid Neural Network and Signal Processing Techniques"
O.9.4 C. F. Neugebauer, Caltech
A. Yariv, Caltech
" A Parallel Analog CCD/CMOS Neural Network IC with Digital I/O"
BREAK
ORAL 10: SPEECH & SIGNAL PROCESSING
O.10.1 K. Church, AT&T Bell Labs
"Part of Speech Tagging" (INVITED TALK)
O.10.2 A. R. Bulsara, Naval Ocean Systems Center
F. E. Moss, Univ. of Missouri
"Single Neuron Dynamics: Noise-Enhanced Signal Processing"
O.10.3 D. Warland, University of California, Berkeley
F. Rieke, NEC Research Institute
W. Bialek, NEC Research Institute
"Efficient Coding in Sensory Systems"
O.10.4 J. Platt, Synaptics
F. Faggin, Synaptics
"A Network for the Separation of Sources That Are
Superimposed And Delayed"
O.10.5 A. Waibel, CMU
A. N. Jain, CMU
A. E. McNair, CMU
J. Tebelskis, CMU
A. Hauptmann, CMU
H. Saito, CMU
"JANUS: Speech-to-Speech Translation Using Connectionist and
Non-Connectionist Techniques"
SPOTLIGHT TALKS (4 Minute Talks)
SPOTLIGHT I: TEMPORAL PROCESSING
J. Connor, University of Washington
L.E. Atlas, University of Washington
D. Martin, University of Washington
"Advantages of Recurrency and Innovations in Time Series Prediction"
C. Brody, ILMAS, UNAM
"Fast Learning with Predictive Forward Models"
C.G. Atkeson, MIT
"Robot Juggling: A Real-Time Implementation of Learning Based on Locally
Weighted Regression"
SPOTLIGHT II: OCR and VISUAL PROCESSING
G.L. Martin, MCC & Eastman Kodak
"Centered-Object Integrated Segmentation and Recognition for Visual
Character Recognition"
G.E. Hinton, University of Toronto
C.K.I. Williams, University of Toronto
"Adaptive Elastic Models for Character Recognition"
S. Ahmad, ICSI
"Modelling Visual Attention and Visual Search"
D.Z. Anderson, University of Colorado
C. Benkert, University of Colorado
V. Hebler, University of Colorado
J.S. Jang, University of Colorado
D. D. Montgomery, University of Colorado
M. Saffman, University of Colorado
"Optical Implementation of a self-organizing feature extractor"
SPOTLIGHT III: APPLICATIONS AND PERFORMANCE COMPARISONS
M.W. Goudreau, NEC Research Institute, Inc.
C.L. Giles, NEC Research Institute, Inc.
"Neural Network Routing for Random Multistage Interconnection Networks"
P. Stolorz, Los Alamos National Laboratory
A. Lapedes, Los Alamos National Laboratory
R. Farber, Los Alamos National Laboratory
D. Wolf, Los Alamos National Laboratory
Y. Xia, Los Alamos National Laboratory
J. Bryngelson, Los Alamos National Laboratory
"Prediction of Protein Structure Using Neural Nets and Information Theory"
P. Kohn, ICSI
J. Bilmes, ICSI
N. Morgan, ICSI
J. Beck, ICSI
"Software for ANN Training on a Ring Array Processor"
J. Bernasconi, Asea Brown Boveri Corp.
K. Gustafson, University of Colorado
"Human and Machine 'Quick Modeling'"
L.G.C. Hamey, Macquarie University
"Benchmarking feed-forward Neural Networks: models and measures"
SPOTLIGHT IV: LEARNING & ARCHITECTURES
P. Koistinen, Rolf Nevanlinna Institute
L. Holmstroem, Rolf Nevanlinna Institute
"Kernel Regression and Backpropagation Training With Noise"
K.Y. Siu, Stanford University
J. Bruck, IBM Research Division
"Neural Computing With Small Weights"
SPOTLIGHT V: NEURAL CONTROL
T. Anastasio, USC
"Learning In the Vestibular System: Simulations Of Vestibular
Compensation Using Recurrent Back-Propagation"
P. Dean, University of Sheffield
E.W. Mayhew, University of Sheffield
"A Neural Net Model For Adaptive Control of Saccadic Accuracy By Primate
Cerebellum and Brainstem"
SPOTLIGHT VI: SPEECH
R. Cole, Oregon Graduate Institute of Science and Technology
K. Roginski, Oregon Graduate Institute of Science and Technology
M. Fanty, Oregon Graduate Institute of Science and Technology
"English Alphabet Recognition With Telephone Speech"
Y. Bengio, McGill University
R. DeMori, McGill University
G. Flammia, McGill University
R. Kompe, McGill University
"Global Optimization of Neural Network - Hidden Markov Model Hybrid"
SPOTLIGHT VII: LEARNING AND ARCHITECTURES
J. Bridle, R.S.R.E.
D.J.C. MacKay, Caltech
"Unsupervised Classifiers, Mutual Information And 'Phantom Targets'"
P. Simard, AT&T Bell Laboratories
B. Victorri, Universite de Caen
Y. Le Cun, AT&T Bell Laboratories
John Denker, AT&T Bell Laboratories
"Tangent Prop - A formalism for specifying selected invariances in
an adaptive network"
D. Montana, Bolt Beranek and Newman, Inc.
"A weighted probabilistic Neural Net"
T. Lange, University of California
"Dynamically-Adaptive Winner-Take-All Networks"
S. Omohundro, International Computer Science Institute
"Model-Merging for Improved Generalization"
------------------------------
Subject: NIPS*91 UPDATE - Poster Sessions
From: Steve Hanson <jose@tractatus.siemens.com>
Date: Mon, 23 Sep 91 18:51:11 -0500
NIPS*91 FINAL POSTER PROGRAM: SESSIONS I & II
TUESDAY EVENING: SESSION I
LEARNING METHODS AND GENERALIZATION I
M. R. Sydorenko, The Johns Hopkins School of Medicine
E. D. Young The Johns Hopkins School of Medicine
"Analysis of Stationarity of the Strength of Synaptic Coupling
Between Pairs of Neurons with Non-Stationary Discharge Properties"
P. Dayan, University of Edinburgh
G. Goodhill, University of Sussex
"Perturbing Hebbian Rules"
D. Geiger, Siemens Research
R. Pereira, Universita di Trento
"Selecting Minimal Surface Data"
J. Shawe-Taylor, University of London
"Threshold Network Learning in the Presence of Equivalences"
B. Pearlmutter, Yale
"Asymptotic Convergence of Gradient Descent with Second Order Momentum"
P. Munro, University of Pittsburgh
"Repeat until bored: a pattern selection strategy"
Y. Freund University of California, Santa Cruz
D. Haussler, University of California, Santa Cruz
"A fast and exact learning rule for a restricted class of Boltzmann machines"
IMPLEMENTATION I
R.G. Benson, Caltech
"Silicon ON-Cell Adaptive Photorecepetors"
E. Sackinger, AT&T Bell Laboratories
B.E. Boser, AT&T Bell Laboratories
L.D. Jackel, AT&T Bell Laboratories
"A Neurocomputer Board Based on the ANNA Neural Network Chip"
P. Kohn, ICSI
J. Bilmes, ICSI
N. Morgan, ICSI
J. Beck, ICSI
"Software for ANN Training on a Ring Array Processor"
VISUAL PROCESSING I
G.L. Martin, MCC & Eastman Kodak
"Centered-Object Integrated Segmentation and Recognition for Visual
Character Recognition"
S. Ahmad, ICSI
"Modelling Visual Attention and Visual Search"
E. Mjolsness,Yale University
"Visual Grammars and their Neural Nets"
M.C. Mozer, University of Colorado
R.S. Zemel, University of Toronto
M. Behrmann, University of Toronto
"Learning to Segment Images using Dynamic Feature Binding"
H. Greenspan, Caltech
R.M. Goodman, Caltech
R. Chellappa, University of Maryland
"A Combined Neural Network and Rule Based Framework for Probabilistic
Pattern Recognition and Discovery"
R. Basri MIT
S. Ullman MIT
"Linear Operator for Object Recognition"
G.E. Hinton, University of Toronto
C.K.I. Williams, University of Toronto
"Adaptive Elastic Models for Character Recognition"
O. Matan, AT&T Bell Laboratories
C.J.C. Burges, AT&TBell Laboratories
Y. Le Cun, AT&TBell Laboratories
J.S. Denker, AT&TBell Laboratories
"Multi-Digit Recognition Using a Space-Delay Neural Network"
N. Intrator, Brown University
J.I. Gold, Brown University
H.H. Buelthoff, Brown University
S. Edelman, Weizmann Institute of Science
Three-Dimensional Object Recognition Using an
"Unsupervised Neural Network: Understanding the Distinguishing Feature"
ARCHITECTURES AND APPROXIMATION
P. Koistinen, Rolf Nevanlinna Institute
L. Holmstroem, Rolf Nevanlinna Institute
"Kernel Regression and Backpropagation Training With Noise"
R. Williamson, Australian National University
P. Bartlett, University of Queensland
"Piecewise Linear Feedforward Neural Networks"
C. Ji, Caltech
D. PsaltisCaltech
"Storage Capacity and Generalization of Two-Layer Networks With Binary Weights
The VC-Dimension vs. The Statistical Capacity"
Y. Zhao, MIT
C.G. Atkeson, MIT
"Some Approximation Properties of Projection Pursuit Learning Networks"
J. Moody, Yale
N. Yarvin, Yale
"Networks with learned unit response functions"
N.J. Redding, Electronics Research Laboratory
T. Downs, University of Queensland
"Networks with Nonsmooth Functions"
T.D. Sanger, Massachusetts Institute of Technology
R.S. Sutton GTE Laboratories Inc.
C.J.Matheus, GTE Laboratories Inc.
"Iterative Construction of Sparse Polynomial Approximations"
M. Wynne-Jones, RSRE
"Node splitting: a constructive algorithm for feed-forward NN"
S. Ramachandran, Rutgers
L.Y. Pratt, Rutgers
"Information Measure Based Skeletonisation"
TEMPORAL PROCESSING
C. Koch, Caltech
H. Schuster, Universitaet Kiel
"A Simple Network Showing Burst Synchronization without Frequency-Locking"
C. Brody, ILMAS, UNAM
"Fast Learning with Predictive Forward Models"
C.G. Atkeson, MIT
"Robot Juggling: A Real-Time Implementation of Learning Based on
Locally Weighted Regression"
J.P. Sutton, Harvard Medical School
A.N. Mamelak, Harvard Medical School
A. Hobson, Harvard Medical School
"Network Model of State-Dependent Sequencing"
M.C. Mozer, University of Colorado
"Connectionist Music Composition and the Induction of
Multiscale Temporal Structure"
J. Schmidhuber, University of Colorado
"History Compression for Adaptive Sequence Chunking"
PERFORMANCE COMPARISONS
J. Bernasconi,Asea Brown Boveri Corp.
K. Gustafson, University of Colorado
"Human and Machine 'Quick Modeling'"
M. Maechler, University of Washington
R. D. Martin, University of Washington
J. Schimert, University of Washington
J.N. Hwang, University of Washington
"A Comparison of Projection Pursuit and NN Regression Modeling"
L.G.C. Hamey, Macquarie University
"Benchmarking feed-forward Neural Networks: models and measures"
APPLICATIONS I
P. Stolorz, Los Alamos National Laboratory
A. Lapedes, Los Alamos National Laboratory
R. Farber, Los Alamos National Laboratory
D. Wolf, Los Alamos National Laboratory
Y. Xia, Los Alamos National Laboratory
J. Bryngelson,Los Alamos National Laboratory
"Prediction of Protein Structure Using Neural Nets and Information Theory"
J. Connor, University of Washington
L.E. Atlas, University of Washington
D. Martin, University of Washington
"Advantages of Recurrency and Innovations in Time Series Prediction"
M.W.Goudreau, NEC Research Institute, Inc.
C.L. Giles, NEC Research Institute, Inc.
"Neural Network Routing for Random Multistage Interconnection Networks"
J. Moody, Yale University
J. Utans, Yale University
"Selecting Neural Network Architectures via the
Prediction Risk: Application to Corporate Bond Rating Prediction"
R. Venturini, The Salk Institute
W.W. Lytton, The Salk Institute
T.J. Sejnowski, The Salk Institute
"Neural Network Analysis of Event Related Potentials Predicts Vigilance"
SIGNAL PROCESSING
D. B. Schwartz, GTE Laboratories, Inc.
"Making Precise Measurements with Sloppy Sensors"
J. Lazzaro, University of Colorado
"Temporal Adaptation in a Silicon Auditory Nerve"
M.H. Cohen, The Johns Hopkins University
P.O. Pouliquen, The Johns Hopkins University
A.G. Andreou, The Johns Hopkins University
"Analog VLSI Implementation of an Auto-Adaptive Network for Real-Time
Separation of Independent Signals"
R. de Ruyter van Steveninck, University Hospital Groningen
W. Bialek, NEC Research Institute
"Statistical Reliability of a Movement-Sensitive Neuron"
B. De Vries, University of Florida
J.C. Principe, University of Florida
P.Guedes de Olivierra, Universidade de Aviero
"Neural Signal Procesing with an Adaptive Dispersive Tapped Delay Line"
PATTERN RECOGNITION
A.M. Chiang, MIT Lincoln Laboratory
M.L. Chuang, MIT Lincoln Laboratory
J.R. LaFranchise, MIT Lincoln Laboratory
"CCD Neural Network Processors for Pattern Recognition"
E.N. Eskandar, National Institute of Mental Health
B.J. Richmond, National Institute of Mental Health
J.A. Hertz, Nordita
L.M. Optican, National Eye Institute
"Decoding of Neuronal Signals in Visual Pattern Recognition"
B.W. Mel, Caltech
"NMDA-Based Pattern Discrimination in a Modeled Cortical Neuron"
O. Bernander, Caltech
R. Douglas, Oxford, UK & Caltech
K. Martin, Oxford, UK
C. Koch, Caltech
"Synaptic Background Activity Determines Spatio-Temporal Integration in
Single Cells"
SELF ORGANIZATION
A. Zador, Yale University
B.J. Clairborne, University of Texas
T.H. Brown, Yale University
"Nonlinear Processing in Single Hippocampal Neurons with Dendritic Hot
and Cold Spots"
D.Z. Anderson, University of Colorado
C. Benkert, University of Colorado
V. Hebler, University of Colorado
J. Jang, University of Colorado
D.D. Montgomery, University of Colorado
"Optical Implementation of a self-organizing feature extractor"
T. Bell, Vrije Universiteit Brussel
"Self-Organisation in Real Neurons: Gradient Descent In Channel Space?"
H.U. Bauer, Universitaet Frankfurt
K. Pawelzik, Universitaet Frankfurt
F. Wolf, Universitaet Frankfurt
T. Geisel, Universitaet Frankfurt
"A Topographic Product for the Optimization of Self-Organizing Feature Maps"
WEDNESDAY EVENING: SESSION II
VISUAL PROCESSING II
H.P. Graf, AT&T Bell Laboratories
C. Nohl, AT&T Bell Laboratories
J. Ben, AT&T Bell Laboratories
"Image Segmentation with Networks of Variable Scale"
T. Darrell, MIT
A. Pentland, MIT
"The Multi-Layer Support Process"
P. Cooper, Northwestern University
P. Prokopowicz, Northwestern University
"M. Random Fields can Bridge Levels of Abstraction"
A. Shashua, M.I.T.
"Illumination and 3D Object Recognition"
A. Pouget, The Salk Institute
S.A. Fisher, The Salk Institute
T.J. Sejnowski,The Salk Institute
"Hierarchical Transformation of Space in The Visual System"
LANGUAGE
A. Jain, CMU
"Generalization Performance in PARSEC- A Structured Connectionist
Parsing Architecture"
G. Pinkas, Washington University
"Syntactic Proofs Using Connectionist Constraint Satisfaction"
P. Gupta, CMU
D.S. Touretzky, CMU
"A Connectionist Learning Approach to Analyzing Linguistic Stress"
R.A. Sumida, University of California
M.G. Dyer, University of California
"Propagation Filters in PDS Networks for Sequencing and Ambiguity Resolution
Ambiguity Resolution"
Y. Muthusamy, Oregon Graduate Institute of Science and Technolgy
R. A. Cole, Oregon Graduate Institute of Science and Technolgy
"Segment-Based Automatic Language Identification System"
R.L. Watrous, Siemens Research
C.L. Giles, NEC Research Institute
C.B. Miller NEC Research Institute
G.M. Kuhn, IDA
D. Chen, University of Maryland
H.H. Chen, University of Maryland
G.Z. Sun, University of Maryland
Y.C. Lee, University of Maryland
"Induction of Finite State Automata from Discrete-time Recurrent
Neural Networks"
SPEECH PROCESSING
M. Hirayama, ATR
E.V. Bateson, ATR
M. Kawato, ATR
M.I. Jordan MIT
"Forward Dynamics Modeling of Speech Motor Control Using Physiological Data"
E. Levin, AT&T Bell Laboratories
R. Pieraccini, AT&T Bell Laboratories
E. Bocchieri, AT&T Bell Laboratories
"Time Warping Network: A Hybrid Framework for Speech Recognition"
R. Cole, Oregon Graduate Institute of Science and Technology
K. Roginski, Oregon Graduate Institute of Science and Technology
M. Fanty, Oregon Graduate Institute of Science and Technology
"English Alphabet Recognition With Telephone Speech"
P. Haffner, Centre National d'Etudes des Telecommunications
A. Waibel, CMU
"Multi-State Time Delay Neural Networks for Continous Speech Recognition"
HYBRID MODELS
E. Singer, MIT Lincoln Laboratory
R. P. Lippmann, MIT Lincoln Laboratory
"Improved Hidden Markov Model Speech Recognition Using Radial Basis
Function Networks"
S. Renals, ICSI
N. Morgan, ICSI
H. Bourlard, L&H Speechproducts
H. Franco, SRI International
Mike Cohen, SRI International
"Connectionist Optimisation of Tied Mixture Hidden Markov Models"
Y. Bengio, McGill University
R. DeMori, McGill University
G. Flammia, McGill University
R. Kompe, McGill University
"Global Optimization of Neural Network - Hidden Markov Model Hybrid"
ptimization with Deterministic Annealing to
"Solve"combinatorially hard problems"
CONTROL AND PLANNING
T. Prescott, University of Sheffield
J. Mayhew, University of Sheffield
"Obstacle Avoidance through Reinforcement Learning"
K. Doya, University of Tokyo
S. Yoshizawa, University of Tokyo
"Learning of Locomotion Patterns by Recurrent Neural Networks: How can a
central pattern generator adapt itself to the physical world?"
H. Gomi, ATR
M. Kawato, ATR
"Learning Closed-Loop Control and Recognition of Manipulated Objects"
G.M. Scott, University of Wisconsin
J.W. Shavlik, University of Wisconsin
W. H. Ray, University of Wisconsin
"Refining PID Controllers Using Neural Networks"
P. Dean, University of Sheffield
E.W. Mayhew, University of Sheffield
"A Neural Net Model For Adaptive Control of Saccadic Accuracy By Primate
Cerebellum and Brainstem"
T. Anastasio, USC
"Learning In the Vestibular System: Simulations Of Vestibular
Compensation Using Recurrent Back-Propagation"
APPLICATIONS II
S. Thiria, Universite de Paris Sud
C. Mejia, Universite de Paris Sud
F. Badran, Universite de Paris Sud
M. Creponi, LODYC
"Multimodular Neural Architecture for Remote Sensing Operations"
A. Manduca, Mayo Foundation
P. Christy, Mayo Foundation
R. Ehman, Mayo Foundation
"Neural Network Diagnosis of Avascular Necrosis From Magnetic Resonance Images"
S.L. Gish, IBM
M. Blaum, IBM
"Adaptive Development of Connectionist Decoders for Complex
Error-Correcting Codes"
A. C. Tsoi, University of Queensland
"Application of Neural Network Methodology to the Modelling of the Yield
Strength in a Steel Rolling Plate Mill"
D.T. Freeman, University of Pittsburgh School of Medicine
"Computer Recognition of Wave Location in Graphical Data by a Neural Network"
H. Tunley, University of Sussex
"A Neural Network for Motion Detection of Drift-Based Stimuli"
MEMORY
D. Horn, Tel Aviv University
M. Usher, Weizman Institute
"Oscillatory Model of Short Term Memory"
K-Y. Siu, Stanford University
J. Bruck, IBM Research Division
"Neural Computing With Small Weights"
IMPLEMENTATION
D. Kirk, Caltech
K. Fleischer, Caltech
A. Barr, Caltech
"Constrained Optimization Applied to the Parameter Setting Problem for
Analog Circuits"
J.G. Harris,Caltech
"Segmentation Circuits Using Contrained Optimization"
KINEMATICS & TRAJECTORIES
M. Dornay, ATR
Y. Uno,University of Tokyo
M. Kawato, ATR
R. Suzuki, University of Tokyo
"Simulation of Optimal Movements Using the Minimum Muscle-Tension-Change Model"
P. Simard, AT&T Bell Laboratories
Y. LeCun, AT&T Bell Laboratories
"Reverse TDNN: An Architecture for Trajectory Generation"
E. Henis, The Weizmann Institute of Science
T. Flash, The Weizmann Institute of Science
"A Computational Mechanism to Account for Averaged Modified Hand Trajectories"
D. DeMers, UC San Diego
K. Kreutz-Delgado, UC San Diego
"Learning Global Direct Inverse Kinematics"
N. E. Berthier,University of Massachusetts
S.P. Singh, University of Massachusetts
A.G. Barto, University of Massachusetts
J.C. Houk, Northwestern University Medical School
"A Cortico-Cerebellar Model That Learns To
Generate Distributed Motor Commands to Control A Kinematic Arm"
ARCHITECTURES AND GENERALIZATION
J. Bridle, R.S.R.E.
D.J.C. MacKay, Caltech
"Unsupervised Classifiers, Mutual Information And 'Phantom Targets'"
T. Lange, University of California
"Dynamically-Adaptive Winner-Take-All Networks"
A. Krogh, The Niels Bohr Institute
J.A. Hertz, Nordita
"A Simple Weight Decay Can Improve Generalization"
M.S. Glassman, Siemens Research
"A Network of Localized Linear Discriminants"
D. Montana, Bolt Beranek and Newman, Inc.
"A weighted probabilistic Neural Net"
S. Omohundro, International Computer Science Institute
"Model-Merging for Improved Generalization"
I. Grebert, Ricoh California Research Center
D.G. Stork, Ricoh California Research Center
R. Keesing, Ricoh California Research Center
S.Mims, Stanford University
"Network generalization for production:
learning and producing styled letterforms"
J.B. Hampshire II, Carnegie Mellon University
D.A. Pomerleau, Carnegie Mellon University
B.V.K. Vijaya Kumar Carnegie Mellon University
"Automatic Feature Selection and Functional Capacity Modulation in MLP
Classifiers via Learned Synaptic Correlations"
LEARNING METHODS AND GENERALIZATION II
P. Simard, AT&T Bell Laboratories
B. Victorri, Universite de Caen
Y. Le Cun, AT&T Bell Laboratories
J. Denker, AT&T Bell Laboratories
"Tangent Prop - A formalism for specifying selected invariances in an
adaptive networks"
G.Z. Sun, University of Maryland
H.H. Chen, University of Maryland
Y.C. Lee, University of Maryland
"Green's Function Method for Fast On-line learning Algorithm of recurrent
Method for Fast On-line learning Algorithm of recurrent NN"
C. Darken, Yale University
J. Moody, Yale University
"Faster Stochastic Gradient Search"
N.N. Schraudolph, UCSD
T. Sejnowski, The Salk Institute
"Competitive Anti-Hebbian Learning of Invariants"
J. Wiles, University of Queensland
A. Bloesch, University of Queensland
"Operators and curried functions: training and analysis of simple recurrent
networks"
A. Bertoni, Universita degli Studi Di Milano
P. Campadelli, Universita degli Studi Di Milano
A. Morpurgo, Universita degli Studi Di Milano
S. Panizza, Universita degli Studi Di Milano
"Polynomial Uniform Convergence of Relative Frequencies to Probabilities"
T. Kuh, University of Hawaii
T. Petsche, Siemens Research
R. Rivest, MIT
"Mistake Bounds of Incremental Learners when Concepts Drift with
Applications to Feedforward Networks"
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End of Neuron Digest [Volume 8 Issue 8]
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