SUN DEC 1
---------
18:00-22:00 Registration
MON DEC 2
---------
08:30-18:00 Registration
09:30-17:30 Tutorials
18:30 Reception and Conference Banquet
20:30 Computer graphics for film: Automatic versus manual
techniques (Banquet talk)
E. Enderton
Industrial Light and Magic
TUE DEC 3
---------
Oral Session 1:
08:30 The CONDENSATION algorithm---conditional density
propagation and applications to visual tracking
(Invited)
A. Blake
University of Oxford
09:10 Interpreting images by propagating Bayesian beliefs
(VS410, Oral)
Y. Weiss
Massachusetts Institute of Technology
09:25 Iterative spline organisation with the EM algorithm
(VS365, Oral)
J. Leite, E. Hancock
University of York
09:40 Neural models for part-whole hierarchies (CS114, Oral)
M. Riesenhuber, P. Dayan
Massachusetts Institute of Technology
09:55 Representing face images for emotion classification
(VS504, Spotlight)
C. Padgett, G. Cottrell
University of California, San Diego
Visual cortex circuitry, popout, and the tilt illusion
(VS152, Spotlight)
T. Mundel, J. Cowan
University of Chicago
On a modification to the mean field EM algorithm in
factorial learning (AA22, Spotlight)
A. Dunmur, M. Titterington
University of Glasgow
Recursive algorithms for approximating probabilities in
graphical models (AA314, Spotlight)
T. Jaakkola, M. Jordan
Massachusetts Institute of Technology
Learning Bayesian belief networks with neural network
estimators (AA494, Spotlight)
S. Monti, G. Cooper
University of Pittsburgh
Continuous sigmoidal belief networks trained using
slice sampling (AA349, Spotlight)
B. Frey
University of Toronto
10:10-10:40 Break
Oral Session 2:
10:40 Expert-level accuracy on a scientific data analysis
task by a system using artificial neural network ensembles
(AP21, Oral)
K. Cherkauer
University of Wisconsin-Madison
10:55 Reinforcement learning for dynamic channel allocation in
cellular telephone systems
(AP116, Oral)
S. Singh, D. Bertsekas
University of Colorado, Boulder
11:10 A comparison between neural networks and other statistical
techniques for modeling the relationship between tobacco
and alcohol and cancer (AP162, Spotlight)
T. Plate, P. Band, J. Bert and J. Grace
British Columbia Cancer Agency
The neurothermostat: Predictive optimal control of
residential heating systems (AP125, Spotlight)
M. Mozer, L. Vidmar and R. Dodier
University of Colorado, Boulder
An orientation selective neural network for pattern
identification in particle detectors (AP329, Spotlight)
H. Abramowicz, D. Horn, U. Naftaly and C. Sahar-Pikielny
Tel Aviv University
A silicon model of amplitude modulation detection in
the auditory brainstem (IM432, Spotlight)
A. Schaik, E. Fragniere and E. Vittoz
Swiss Federal Institute of Technology
Bangs, clicks, snaps, thuds and whacks: An architecture
for acoustic transient processing (IM360, Spotlight)
F. Pineda, G. Cauwenberghs and T. Edwards
The John Hopkins University
A spike based learning neuron in analog VLSI (IM408, Spotlight)
P. Haefliger, M. Mahowald and L. Watts
Institute of Neuroinformatics ETH/UNIZ
11:25 A micropower analog VLSI HMM state decoder for wordspotting
(IM11, Oral)
J. Lazzaro, J. Wawrzynek and R. Lippmann
University of California, Berkeley
11:40 Analog VLSI circuits for attention-based, visual tracking
(IM207, Oral)
T. Horiuchi, T. Morris, C. Koch and S. DeWeerth
California Institute of Technology
11:55-14:00 Lunch
Oral Session 3:
14:00 Compositionality, MDL priors, and object recognition
(Invited)
S. Geman, E. Bienenstock
Brown University
14:40 For valid generalization, the size of the weights is
more important than the size of the network (LT33, Oral)
P. Bartlett
Australian National University
14:55 A variational principle for model-based interpolation
(LT260, Oral)
L. Saul, M. Jordan
Massachusetts Institute of Technology
15:10 Microscopic equations in rough energy landscape for
neural networks (LT96, Oral)
K. Wong
The Hong Kong University of Science and Technology
15:25 Combining neural network regression estimates with
regularized linear weights (AA183, Oral)
C. Merz, M. Pazzani
University of California, Irvine
15:40 Online learning from finite training sets: An analytical
case study (LT460, Spotlight)
P. Sollich, D. Barber
Aston University
Dynamics of training (LT83, Spotlight)
S. Boes, M. Opper
RIKEN
Adaptive on-line learning in changing environments
(AA58, Spotlight)
N. Murata, K. Mueller, A. Ziehe and S. Amari
GMD-First
Statistical mechanics of the mixture of experts
(LT444, Spotlight)
K. Kang, J. Oh
Pohang University of Science and Technology
Time series prediction using mixtures of experts
(LT224, Spotlight)
A. Zeevi, R. Meir and R. Adler
Israel Institute of Technology
Are Hopfield networks faster than conventional computers?
(LT251, Spotlight)
I. Parberry, H. Tseng
University of North Texas
15:55-16:15 Break
16:15-18:00 Poster Preview
19:30 Poster Session
WED DEC 4
---------
Oral Session 4:
08:30 Plasticity of dynamics as opposed to absolute strength
of synapse
(Invited)
H. Markram
Weizmann Institute
Transition between rate and temporal coding in neocortex as
determined by synaptic depression
(Invited)
M. Tsodyks
Weizmann Institute
09:35 Extraction of temporal features in the electrosensory
system of weakly electric fish (NS322, Spotlight)
F. Gabbiani, W. Metzner, R. Wessel and C. Koch
California Institute of Technology
Cholinergic modulation preserves spike timing under
physiologically realistic fluctuating input (NS158, Spotlight)
A. Tang, T. Sejnowski
The Salk Institute
A hierarchical model of visual rivalry (NS100, Spotlight)
P. Dayan
Massachusetts Institute of Technology
A neural model of visual contour integration (NS354, Spotlight)
Z. Li
Hong Kong University of Science & Technology
Temporal low-order statistics of natural sounds
(NS123, Spotlight)
H. Attias, C. Schreiner
University of California at San Francisco
09:50 An evidence for Hebbian synaptic potentation in hippocampus
during behavior (NS324, Oral)
M. Mehta, C. Barnes and B. McNaughton
University of Arizona
10:05 Reconstruction of stimulus velocity from neuronal responses
in area MT (NS515, Oral)
W. Bair, J. Cavanaugh and A. Movshon
New York University
10:20-10:45 Break
Oral Session 5:
10:45 On bias and variance in classification (LT344, Oral)
J. Friedman
Stanford University
11:00 An apobayesian relative of Winnow (LT176, Oral)
N. Littlestone, C. Mesterharm
NEC Research
11:15 Bayesian model comparison by Monte Carlo chaining
(AA459, Spotlight)
D. Barber, C. Bishop
Aston University
Genetic algorithms and explicit search statistics
(AA140, Spotlight)
S. Baluja
Carnegie Mellon University
Minimizing statistical bias with queries (AA313, Spotlight)
D. Cohn
Harlequin, Inc.
Balancing between bagging and bumping (AA92, Spotlight)
T. Heskes
University of Nijmegen
LSTM can solve hard long time lag problems (AA5, Spotlight)
S. Hochreiter, J. Schmidhuber
Technischen Universitaet Muenchen
488 solutions to the XOR problem (AA469, Spotlight)
F. Coetzee, V. Stonik
Carnegie Mellon University
11:30 Linear support vector regression machines (LT423, Oral)
H. Drucker, C. Burges, L. Kaufman, A. Smola and V. Vapnik
Bell Laboratories
11:45 A mixture of experts classifier with learning based on
both labelled and unlabelled data (AA1, Oral)
D. Miller, S. Uyar
Pennsylvania State University
12:00-14:00 Lunch
13:00-14:00 Feedback session with NIPS board
Oral Session 6:
14:00 Analysis of temporal-difference learning with function
approximation (CN71, Oral)
J. Tsitsiklis, B. Van Roy
Massachusetts Institute of Technology
14:15 On-line policy improvement using Monte-Carlo search
(CN312, Oral)
G. Tesauro, G. Galperin
IBM T.J. Watson Research Center
14:30 Learning from demonstration (CN388, Oral)
S. Schaal
Georgia Institute of Technology
14:45 Why did TD-Gammon work? (CS301, Spotlight)
J. Pollack, A. Blair
Brandeis University
Local bandit approximation for optimal learning problems
(CN236, Spotlight)
M. Duff, A. Barto
University of Massachusetts Amherst
Analytical mean squared error curves in temporal
difference learning (CN117, Spotlight)
S. Singh, P. Dayan
University of Colorado, Boulder
Learning decision theoretic utilities through reinforcement
learning (CN256, Spotlight)
M. Stensmo, T. Sejnowski
University of California, Berkeley
Dynamic features for visual speechreading:
A systematic comparison (SP208, Spotlight)
M. Gray, J. Movellan and T. Sejnowski
The Salk Institute
Ensemble methods for phoneme classification
(SP245, Spotlight)
S. Waterhouse, G. Cook
Cambridge University
Neural network modelling of speech and music signals
(SP222, Spotlight)
A. Roebel
Technische Universitaet Berlin
15:05 A constructive RBF network for writer adaptation
(SP499, Oral)
J. Platt, N. Matic
Synaptics
15:20 One-unit learning rules for independent component analysis
(AA299, Oral)
A. Hyvarinen, E. Oja
Helsinki University of Technology
15:35 Maximum likelihood blind source separation: A context-sensitive
generalization of ICA (AA157, Oral)
B. Pearlmutter, L. Parra
University of California San Diego
15:50-16:15 Break
16:15-18:00 Poster Preview
19:30 Poster Session
THU DEC 5
---------
Oral Session 7:
08:30 Wavelets, wavelet packets, and beyond:
Applications of new adaptive signal representations
(Invited)
D. Donoho
Stanford University and University of California Berkeley
09:10 Gaussian processes for Bayesian classification via hybrid
Monte Carlo (AA461, Oral)
D. Barber, C. Williams
Aston University
09:25 Hidden Markov decision trees (AA479, Oral)
M. Jordan, Z. Ghahramani and L. Saul
Massachusetts Institute of Technology
09:40 Separable mixture models: Separating style and content
(AA401, Oral)
J. Tenenbaum, W. Freeman
Massachusetts Institute of Technology
09:55 Smoothing regularizers for projective basis function networks
(AA317, Oral)
J. Moody, T. Rognvaldsson
Oregon Graduate Institute
10:10-10:40 Break
Oral Session 8:
10:40 GTM: A principled alternative to the self-organizing map
(AA458, Oral)
C. Bishop, M. Svensen and C. Williams
Aston University
10:55 NeuroScale: Novel topographic feature extraction using
RBF networks (AA454, Oral)
D. Lowe, M. Tipping
Aston University
11:10 Statistically efficient estimation using cortical
lateral connections (NS355, Oral)
A. Pouget, K. Zhang
Georgetown Institute for Computational and Cognitive Sciences
11:25 Edges are the independent components of natural scenes
(VS168, Oral)
A. Bell, T. Sejnowski
The Salk Institute
11:40 Optimization by mutual information maximization and input
clustering (AA315, Oral)
J. De Bonet, C. Isbell and P. Viola
Massachusetts Institute of Technology
TUE DEC 3 (Posters)
-------------------
One-unit learning rules for independent component analysis
(AA299, Oral)
A. Hyvarinen, E. Oja
Helsinki University of Technology
Maximum likelihood blind source separation: A context-sensitive
generalization of ICA (AA157, Oral)
B. Pearlmutter, L. Parra
University of California San Diego
GTM: A principled alternative to the self-organizing map
(AA458, Oral)
C. Bishop, M. Svensen and C. Williams
Aston University
Optimization by mutual information maximization and input
clustering (AA315, Oral)
J. De Bonet, C. Isbell and P. Viola
Massachusetts Institute of Technology
Combining neural network regression estimates with
regularized linear weights (AA183, Oral)
C. Merz, M. Pazzani
University of California, Irvine
On a modification to the mean field EM algorithm in
factorial learning (AA22, Spotlight)
A. Dunmur, M. Titterington
University of Glasgow
Recursive algorithms for approximating probabilities in
graphical models (AA314, Spotlight)
T. Jaakkola, M. Jordan
Massachusetts Institute of Technology
Learning Bayesian belief networks with neural network
estimators (AA494, Spotlight)
S. Monti, G. Cooper
University of Pittsburgh
Continuous sigmoidal belief networks trained using
slice sampling (AA349, Spotlight)
B. Frey
University of Toronto
Adaptive on-line learning in changing environments
(AA58, Spotlight)
N. Murata, K. Mueller, A. Ziehe and S. Amari
GMD-First
Second-order learning algorithm with squared penalty
term (AA320, Poster)
K. Saito, R. Nakano
NTT Communications Science Laboratories
A convergence proof for the softassign quadratic
assignment algorithm (AA232, Poster)
A. Rangarajan, S. Gold
Yale University School of Medicine
Improving the accuracy and speed of support vector
machines (AA199, Poster)
C. Burges, B. Schoelkopf
Bell Laboratories
Softening discrete relaxation (AA303, Poster)
A. Finch, R. Wilson and E. Hancock
University of York
Representation and induction of finite state machines
using time-delay neural networks (AA356, Poster)
D. Clouse, C. Giles, B. Horne and G. Cotrell
University of California, San Diego
Firm and soft classification in real space (AA227,
Poster)
Y. Baram
Technion, Israel Institute of Technology
Clustering via concave minimization (AA84, Poster)
P. Bradley, O. Mangasarian and W. Street
University of Wisconsin
Information controller to maximize and minimize
information (AA10, Poster)
R. Kamimura
Tokai University
Population code representations of probability density
functions (AA411, Poster)
R. Zemel, P. Dayan
Carnegie Mellon University
Training algorithms for hidden Markov models using
entropy based distance functions (AA115, Poster)
Y. Singer, M. Warmuth
AT&T Laboratories
Ordered classes and incomplete examples in
classification (AA16, Poster)
M. Mathieson
University of Oxford
Combinations of weak classifiers (AA418, Poster)
C. Ji, S. Ma
Renssalaer Polytechnic Institute
Fast network pruning and feature extraction by
removing complete units (AA434, Poster)
A. Stahlberger, M. Riedmiller
Universitaet Karlsruhe
Self-organizing and adaptive algorithms for
generalized eigen-decomposition (AA463, Poster)
C. Chatterjee, V. Roychowdhury
Purdue University
Some input features work better as outputs (AA150,
Poster)
R. Caruana, V. de Sa
Carnegie Mellon University
Expert-level accuracy on a scientific data analysis
task by a system using artificial neural network ensembles
(AP21, Oral)
K. Cherkauer
University of Wisconsin-Madison
Reinforcement learning for dynamic channel allocation in
cellular telephone systems
(AP116, Oral)
S. Singh, D. Bertsekas
University of Colorado, Boulder
A comparison between neural networks and other statistical
techniques for modeling the relationship between tobacco
and alcohol and cancer (AP162, Spotlight)
T. Plate, P. Band, J. Bert and J. Grace
British Columbia Cancer Agency
The neurothermostat: Predictive optimal control of
residential heating systems (AP125, Spotlight)
M. Mozer, L. Vidmar and R. Dodier
University of Colorado, Boulder
An orientation selective neural network for pattern
identification in particle detectors (AP329, Spotlight)
H. Abramowicz, D. Horn, U. Naftaly and C. Sahar-Pikielny
Tel Aviv University
Multi-effect decompositions for high frequency
financial data modeling (AP141, Poster)
L. Wu, J. Moody
Oregon Graduate Institute
Predicting lifetimes in dynamically allocated memory
(AP377, Poster)
D. Cohn, S. Singh
Harlequin, Inc.
Spectroscopic detection of cervical pre-cancer through
radial basis function networks (AP477, Poster)
K. Tumer, N. Ramanujam, R. Richards-Kortum and J. Gosh
The University of Texas at Austin
Approximate solutions to optimal stopping problems
(CN72, Poster)
J. Tsitsiklis, B. Van Roy
Massachusetts Institute of Technology
Reinforcement learning for mixed open-loop and
closed-loop control (CN237, Poster)
E. Hansen, A. Barto, and S. Zilberstein
University of Massachusetts, Amherst
Multi-grid methods for reinforcement learning in
controlled diffusion processes (CN18, Poster)
S. Pareigis
Christian-Albrechts-Universitaet Kiel
Learning decision theoretic utilities through reinforcement
learning (CN256, Spotlight)
M. Stensmo, T. Sejnowski
University of California, Berkeley
Multidimensional triangulation and interpolation for
reinforcement learning (CN153, Poster)
S. Davies
Carnegie Mellon University
Exploiting model uncertainty estimates for safe
dynamic control learning (CN200, Poster)
J. Schneider
Carnegie Mellon University
A silicon model of amplitude modulation detection in
the auditory brainstem (IM432, Spotlight)
A. Schaik, E. Fragniere and E. Vittoz
Swiss Federal Institute of Technology
Bangs, clicks, snaps, thuds and whacks: An architecture
for acoustic transient processing (IM360, Spotlight)
F. Pineda, G. Cauwenberghs and T. Edwards
The John Hopkins University
A spike based learning neuron in analog VLSI (IM408, Spotlight)
P. Haefliger, M. Mahowald and L. Watts
Institute of Neuroinformatics ETH/UNIZ
A micropower analog VLSI HMM state decoder for wordspotting
(IM11, Oral)
J. Lazzaro, J. Wawrzynek and R. Lippmann
University of California, Berkeley
Analog VLSI circuits for attention-based, visual tracking
(IM207, Oral)
T. Horiuchi, T. Morris, C. Koch and S. DeWeerth
California Institute of Technology
For valid generalization, the size of the weights is
more important than the size of the network (LT33, Oral)
P. Bartlett
Australian National University
A variational principle for model-based interpolation
(LT260, Oral)
L. Saul, M. Jordan
Massachusetts Institute of Technology
Microscopic equations in rough energy landscape for
neural networks (LT96, Oral)
K. Wong
The Hong Kong University of Science and Technology
Statistical mechanics of the mixture of experts
(LT444, Spotlight)
K. Kang, J. Oh
Pohang University of Science and Technology
Time series prediction using mixtures of experts
(LT224, Spotlight)
A. Zeevi, R. Meir and R. Adler
Israel Institute of Technology
Are Hopfield networks faster than conventional computers?
(LT251, Spotlight)
I. Parberry, H. Tseng
University of North Texas
Online learning from finite training sets: An analytical
case study (LT460, Spotlight)
P. Sollich, D. Barber
Aston University
Dynamics of training (LT83, Spotlight)
S. Boes, M. Opper
RIKEN
MLP can provably generalise much better than VC-bounds
indicate (LT305, Poster)
A. Kowalczyk, H. Ferra
Telecom Australia
Hebb learning of features based on their information
content (LT107, Poster)
F. Peper, H. Noda
Communications Research Lab.
On the effect of analog noise in discrete-time analog
computations (LT487, Poster)
W. Maass, P. Orponen
Technische Universitaet Graz
Radial basis function networks and complexity
regularization in function learning (LT253, Poster)
A. Krzyzak, T. Linder
Concordia University, Montreal
The effect of correlated input data on the dynamics of
learning (LT40, Poster)
S. Halkjaer, O. Winther
The Niels Bohr Institute
Multilayer neural networks: one or two hidden layers?
(LT77, Poster)
G. Brightwell, C. Kenyon and H. Paugam-Moisy
London School of Economics
Learning exact patterns of quasi-synchronization among
spiking neurons from data on multi-unit recordings
(NS170, Poster)
L. Martignon, K. Laskey, G. Deco and E. Vaadia
Max Planck Institute
A model of recurrent interactions in primary visual
cortex (NS481, Poster)
E. Todorov, A. Siapas and D. Somers
Massachusetts Institute of Technology
3D Object Recognition: A Model of View-Tuned Neurons
(NS429, Poster)
E. Bricolo, T. Poggio and N. Logothetis
Massachusetts Institute of Technology
Neural network models of chemotaxis in the nematode
Caenorhabditis elegans (NS182, Poster)
T. Ferree, B. Marcotte, and S. Lockery
University of Oregon
Orientation contrast sensitivity from long-range
interactions in visual cortex (NS113, Poster)
K. Pawelzik, U. Ernst, F. Wolf and T. Geisel
Universitaet Frankfurt
Complex-cell responses derived from center-surround
inputs: The surprising power of intradendritic
computation (NS442, Poster)
B. Mel, D. Ruderman and K. Archie
University of Southern California
Neural models for part-whole hierarchies (CS114, Oral)
M. Riesenhuber, P. Dayan
Massachusetts Institute of Technology
Text-based information retrieval using exponentiated
gradient descent (CS507, Poster)
R. Papka, J. Callen and A. Barto
University of Massachusetts, Amherst
A constructive learning algorithm for discriminant
tangent models (SP281, Poster)
D. Sona, A. Sperduti and A. Starita
Universita di Pisa
A new approach to hybrid HMM/ANN speech recognition
using mutual information neural networks (SP289,
Poster)
G. Rigoll, C. Neukirchen
Gethard-Mercator University
Interpreting images by propagating Bayesian beliefs
(VS410, Oral)
Y. Weiss
Massachusetts Institute of Technology
Iterative spline organisation with the EM algorithm
(VS365, Oral)
J. Leite, E. Hancock
University of York
Representing face images for emotion classification
(VS504, Spotlight)
C. Padgett, G. Cottrell
University of California, San Diego
Visual cortex circuitry, popout, and the tilt illusion
(VS152, Spotlight)
T. Mundel, J. Cowan
University of Chicago
Spatial decorrelation in orientation tuned cortical
cells (VS351, Poster)
A. Dimitrov, J. Cowan
University of Chicago
ARTEX: A self-organizing architecture for classifying
image regions (VS26, Poster)
S. Grossberg, J. Williamson
Boston University
Selective integration: a model for disparity
estimation (VS393, Poster)
M. Gray, A. Pouget, R. Zemel, S. Nowlan,
and T. Sejnowski
The Salk Institute
Rapid visual processing using spike asynchrony (VS422,
Poster)
S. Thorpe, J. Gautrais
Centre de Recherche Cerveau & Cognition
Learning appearance based models: mixtures of second
moment experts (VS186, Poster)
C. Bregler, J. Malik
Univesity of California, Berkeley
WED DEC 4 (Posters)
-------------------
Gaussian processes for Bayesian classification via hybrid
Monte Carlo (AA461, Oral)
D. Barber, C. Williams
Aston University
Hidden Markov decision trees (AA479, Oral)
M. Jordan, Z. Ghahramani and L. Saul
Massachusetts Institute of Technology
NeuroScale: Novel topographic feature extraction using
RBF networks (AA454, Oral)
D. Lowe, M. Tipping
Aston University
Smoothing regularizers for projective basis function networks
(AA317, Oral)
J. Moody, T. Rognvaldsson
Oregon Graduate Institute
Separable mixture models: Separating style and content
(AA401, Oral)
J. Tenenbaum, W. Freeman
Massachusetts Institute of Technology
A mixture of experts classifier with learning based on
both labelled and unlabelled data (AA1, Oral)
D. Miller, S. Uyar
Pennsylvania State University
Bayesian model comparison by Monte Carlo chaining
(AA459, Spotlight)
D. Barber, C. Bishop
Aston University
Genetic algorithms and explicit search statistics
(AA140, Spotlight)
S. Baluja
Carnegie Mellon University
Minimizing statistical bias with queries (AA313, Spotlight)
D. Cohn
Harlequin, Inc.
Balancing between bagging and bumping (AA92, Spotlight)
T. Heskes
University of Nijmegen
LSTM can solve hard long time lag problems (AA5, Spotlight)
S. Hochreiter, J. Schmidhuber
Technischen Universitaet Muenchen
488 solutions to the XOR problem (AA469, Spotlight)
F. Coetzee, V. Stonik
Carnegie Mellon University
Using curvature information for fast stochastic search
(AA50, Poster)
G. Orr, T. Leen
Willamette University
Regression with input-dependent noise: a Bayesian treatment
(AA457, Poster)
C. Bishop, C. Qazaz
Aston University
Early brain damage (AA39, Poster)
V. Tresp, R. Neuneier and H. Zimmermann
Siemens AG, Central Research
A self-organizing net for density approximation and
independent component analysis (AA350, Poster)
J. Lin, J. Cowan and D. Grier
University of Chicago
Unsupervised learning by convex and conic coding
(AA385, Poster)
D. Lee, H. Seung
Bell Laboratories, Lucent Technologies
A new adaptive resampling algorithm for improving ANN
classifiers (AA61, Poster)
F. Leisch, K. Hornik
Technische Universitaet Wien
Clustering sequences with hidden markov models (AA128,
Poster)
P. Smyth
University of California, Irvine
Competition among networks improves committee
performance (AA213, Poster)
P. Munro, B. Parmanto
University of Pittsburgh
Limitations of self-organizing maps for vector
quantization and multi-dimensional scaling (AA297,
Poster)
A. Flexer
University of Vienna
Bayesian unsupervised learning of higher order
structure (AA394, Poster)
M. Lewicki, T. Sejnowski
The Salk Institute
Estimating equivalent kernels for neural networks: A
data perturbation approach (AA78, Poster)
A. Burgess
London Business School
Adaptively growing hierarchical mixtures of experts
(AA425, Poster)
J. Fritsch, M. Finke and A. Waibel
Carnegie Mellon University
Optimal triangulation with continuous cost
functions (AA258, Poster)
M. Meila, M. Jordan
Massachusetts Institute of Technology
Monotonicity hints (AA379, Poster)
J. Sill, Y. Abu-Mostafa
California Institute of Technology
Interpolating earth-science data using RBF networks
and mixtures of experts (AP382, Poster)
E. Wan, D. Bone
Australia National University
Multi-task learning for stock selection (AP180,
Poster)
J. Ghosn, Y. Bengio
Universite de Montreal
Sequential tracking in pricing financial options using
model based and neural network approaches (AP506,
Poster)
M. Niranjan
Cambridge University
Adaptive access control applied to ethernet data
(AP188, Poster)
T. Brown
University of Colorado, Boulder
Analysis of temporal-difference learning with function
approximation (CN71, Oral)
J. Tsitsiklis, B. Van Roy
Massachusetts Institute of Technology
On-line policy improvement using Monte-Carlo search
(CN312, Oral)
G. Tesauro, G. Galperin
IBM T.J. Watson Research Center
Learning from demonstration (CN388, Oral)
S. Schaal
Georgia Institute of Technology
Local bandit approximation for optimal learning problems
(CN236, Spotlight)
M. Duff, A. Barto
University of Massachusetts Amherst
Analytical mean squared error curves in temporal
difference learning (CN117, Spotlight)
S. Singh, P. Dayan
University of Colorado, Boulder
Efficient nonlinear control with actor-tutor architecture
(CN270, Poster)
K. Doya
ATR Human Information Processing Laboratories
Why did TD-Gammon work? (CS301, Spotlight)
J. Pollack, A. Blair
Brandeis University
An adaptive WTA using floating gate technology (IM204,
Poster)
W. Kruger, P. Hasler, B. Minch and C. Koch
California Institute of Technology
VLSI implementation of cortical visual motion
detection using an analog neural computer (IM44,
Poster)
R. Etienne-Cummings, J. Van der Spiegel, N. Takahashi
and P. Mueller
Southern Illinois University, Carbondale, IL
An analog implementation of the constant average
statistics constraint for sensor calibration (IM386,
Poster)
J. Harris, Y-M. Chiang
University of Florida
Dynamically adaptable CMOS winner-take-all neural
network (IM399, Poster)
K. Iizuka, M. Miyamoto and H. Matsui
Information Technology Research Laboratories Sharp
On bias and variance in classification (LT344, Oral)
J. Friedman
Stanford University
An apobayesian relative of Winnow (LT176, Oral)
N. Littlestone, C. Mesterharm
NEC Research
Linear support vector regression machines (LT423, Oral)
H. Drucker, C. Burges, L. Kaufman, A. Smola and V. Vapnik
Bell Laboratories
Support vector method for function approximation,
regression estimation, and signal processing (LT85,
Poster)
V. Vapnik, S. Golowich and A. Smola
AT&T Research
Practical confidence and prediction intervals (LT93,
Poster)
T. Heskes
University of Nijmegen
Computing with infinite networks (LT451, Poster)
C. Williams
Aston University
Removing noise in on-line search using adaptive batch
sizes (LT147, Poster)
G. Orr
Willamette University
Neural learning in structured parameter spaces -
natural Riemannian gradient (LT12, Poster)
S-I. Amari
Riken Frontier Research Program, RIKEN
Learning with noise and regularizers in multilayer
neural networks (LT464, Poster)
D. Saad, S. Solla
Aston University
The learning dynamics of a universal approximator
(LT465, Poster)
A. West, D. Saad, and I. Nabney
Aston University
Estimation of sub-optimality (LT452, Poster)
R. Rohwer, M. Morciniec
Aston University
Noisy spiking neurons with temporal coding have more
computational power than sigmoidal neurons (LT488,
Poster)
W. Maass
Technische Universitaet Graz
Size of multilayer networks for exact learning:
analytic approach (LT381, Poster)
A. Elisseeff, H. Paugam-Moisy
Ecole Normale Superieure de Lyon
A mean field algorithm for Bayes learning in large
feed-forward neural networks (LT165, Poster)
M. Opper, O. Winther
Universitaet Wurzburg
Statistically efficient estimation using cortical
lateral connections (NS355, Oral)
A. Pouget, K. Zhang
Georgetown Institute for Computational and Cognitive Sciences
Extraction of temporal features in the electrosensory
system of weakly electric fish (NS322, Spotlight)
F. Gabbiani, W. Metzner, R. Wessel and C. Koch
California Institute of Technology
Cholinergic modulation preserves spike timing under
physiologically realistic fluctuating input (NS158, Spotlight)
A. Tang, T. Sejnowski
The Salk Institute
A hierarchical model of visual rivalry (NS100, Spotlight)
P. Dayan
Massachusetts Institute of Technology
A neural model of visual contour integration (NS354, Spotlight)
Z. Li
Hong Kong University of Science & Technology
Temporal low-order statistics of natural sounds
(NS123, Spotlight)
H. Attias, C. Schreiner
University of California at San Francisco
An evidence for Hebbian synaptic potentation in hippocampus
during behavior (NS324, Oral)
M. Mehta, C. Barnes and B. McNaughton
University of Arizona
Reconstruction of stimulus velocity from neuronal responses
in area MT (NS515, Oral)
W. Bair, J. Cavanaugh and A. Movshon
New York University
An architectural mechanism for velocity-tuned cortical
simple cells: the role of mutual inhibition (NS59,
Poster)
S. Sabatini, F. Solari and G. Bisio
Universita Degli Studi Di Genova
A constructive RBF network for writer adaptation
(SP499, Oral)
J. Platt, N. Matic
Synaptics
Dynamic features for visual speechreading:
A systematic comparison (SP208, Spotlight)
M. Gray, J. Movellan and T. Sejnowski
The Salk Institute
Ensemble methods for phoneme classification
S. Waterhouse, G. Cook (SP245, Spotlight)
Cambridge University
Neural network modelling of speech and music signals
(SP222, Spotlight)
A. Roebel
Technische Universitaet Berlin
Blind separation of delayed and convolved sources
(SP215, Poster)
A. Bell, T-W. Lee
The Salk Institute
Dual Kalman filtering methods for nonlinear
prediction, smoothing, and estimation (SP203, Poster)
E. Wan, A. Nelson
Oregon Graduate Institute
Effective training of a neural network character
classifier for word recognition (SP185, Poster)
L. Yaeger, R. Lyon and B. Webb
Apple Computer, Inc.
Edges are the independent components of natural scenes
(VS168, Oral)
A. Bell, T. Sejnowski
The Salk Institute
Learning invariant visual representations in an
attractor network (VS43, Poster)
M. Stewart Bartlett, T. Sejnowski
The Salk Institute
Salient contour extraction through temporal binding in
a cortically-based network (VS169, Poster)
S-C. Yen, L. Finkel
University of Pennsylvania
Learning temporally persistent hierarchical
representations (VS467, Poster)
S. Becker
McMaster University
Spatiotemporal coupling and scaling of natural images
and human visual sensitivities (VS476, Poster)
D. Dong
California Institute of Technology
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