NIPS 1994:
Denver,
CO,
USA
Gerald Tesauro, David S. Touretzky, Todd K. Leen (Eds.):
Advances in Neural Information Processing Systems 7, [NIPS Conference, Denver, Colorado, USA, 1994].
MIT Press 1995 BibTeX
@proceedings{DBLP:conf/nips/1994,
editor = {Gerald Tesauro and
David S. Touretzky and
Todd K. Leen},
title = {Advances in Neural Information Processing Systems 7, [NIPS Conference,
Denver, Colorado, USA, 1994]},
booktitle = {NIPS},
publisher = {MIT Press},
year = {1995},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Cognitive Science
Neuroscience
- Neil Burgess:
A solvable connectionist model of immediate recall of ordered lists.
51-58
Electronic Edition (link) BibTeX
- Rainer Malaka, Thomas Ragg, Martin Hammer:
A Model for Chemosensory Reception.
61-68
Electronic Edition (link) BibTeX
- Nicholas T. Carnevale, Kenneth Y. Tsai, Brenda J. Claiborne, Thomas H. Brown:
The Electrotonic Transformation: a Tool for Relating Neuronal Form to Function.
69-76
Electronic Edition (link) BibTeX
- Michael E. Hasselmo, Eric Schnell, Joshua Berke, Edi Barkai:
A model of the hippocampus combibing self-organization and associative memory function.
77-84
Electronic Edition (link) BibTeX
- Sean D. Murphy, Edward W. Kairiss:
Model of a Biological Neuron as a Temporal Neural Network.
85-91
Electronic Edition (link) BibTeX
- E. Erwin, Klaus Obermayer, Klaus Schulten:
A Critical Comparison of Models for Orientation and Ocular Dominance Columns in the Striate Cortex.
93-100
Electronic Edition (link) BibTeX
- Kenji Doya, Terrence J. Sejnowski:
A Novel Reinforcement Model of Birdsong Vocalization Learning.
101-108
Electronic Edition (link) BibTeX
- Joseph Sirosh, Risto Miikkulainen:
Ocular Dominance and Patterned Lateral Connections in a Self-Organizing Model of the Primary Visual Cortex.
109-116
Electronic Edition (link) BibTeX
- Kalanit Grill Spector, Shimon Edelman, Rafael Malach:
Anatomical origin and computational role of diversity in the response properties of cortical neurons.
117-124
Electronic Edition (link) BibTeX
- Alexandre Pouget, Cedric Deffayet, Terrence J. Sejnowski:
Reinforcement Learning Predicts the Site of Plasticity for Auditory Remapping in the Barn Owl.
125-132
Electronic Edition (link) BibTeX
- Svilen Tzonev, Klaus Schulten, Joseph G. Malpeli:
Morphogenesis of the Lateral Geniculate Nucleus: How Singularities Affect Global Structure.
133-140
Electronic Edition (link) BibTeX
- Todd S. Braver, Jonathan D. Cohen, David Servan-Schreiber:
A Computational Model of Prefrontal Cortex Function.
141-148
Electronic Edition (link) BibTeX
- Eytan Ruppin, James A. Reggia, David Horn:
A Neural Model of Delusions and Hallucinations in Schizophrenia.
149-156
Electronic Edition (link) BibTeX
- Alexandre Pouget, Terrence J. Sejnowski:
Spatial Representations in the Parietal Cortex May Use Basis Functions.
157-164
Electronic Edition (link) BibTeX
- Richard S. Zemel, Terrence J. Sejnowski:
Grouping Components of Three-Dimensional Moving Objects in Area MST of Visual Cortex.
165-172
Electronic Edition (link) BibTeX
Learning Theory and Dynamics
- William E. Skaggs, James J. Knierim, Hemant S. Kudrimoti, Bruce L. McNaughton:
A Model of the Neural Basis of the Rat's Sense of Direction.
173-180
Electronic Edition (link) BibTeX
- Wolfgang Maass:
On the Computational Complexity of Networks of Spiking Neurons.
183-190
Electronic Edition (link) BibTeX
- Babak Hassibi, Thomas Kailath:
Optimal Training Algorithms and their Relation to Backpropagation.
191-198
Electronic Edition (link) BibTeX
- DeLiang L. Wang, David Terman:
Synchrony and Desynchrony in Neural Oscillator Networks.
199-206
Electronic Edition (link) BibTeX
- Peter Sollich:
Learning in large linear perceptrons and why the thermodynamic limit is relevant to the real world.
207-214
Electronic Edition (link) BibTeX
- Adam Kowalczyk, Herman L. Ferrá:
Generalisation in Feedforward Networks.
215-222
Electronic Edition (link) BibTeX
- Todd K. Leen:
From Data Distributions to Regularization in Invariant Learning.
223-230
Electronic Edition (link) BibTeX
- Anders Krogh, Jesper Vedelsby:
Neural Network Ensembles, Cross Validation, and Active Learning.
231-238
Electronic Edition (link) BibTeX
- Corinna Cortes, Lawrence D. Jackel, Wan-Ping Chiang:
Limits in Learning Machine Accuracy Imposed by Data Quality.
239-246
Electronic Edition (link) BibTeX
- Gustavo Deco, Wilfried Brauer:
Higher Order Statistical Decorrelation without Information Loss.
247-254
Electronic Edition (link) BibTeX
- Glenn Marion, David Saad:
Hyperparameters Evidence and Generalisation for an Unrealisable Rule.
255-262
Electronic Edition (link) BibTeX
- Changfeng Wang, Santosh S. Venkatesh:
Temporal Dynamics of Generalization in Neural Networks.
263-270
Electronic Edition (link) BibTeX
- Toru Ohira, Jack D. Cowan:
Stochastic Dynamics of Three-State Neural Networks.
271-278
Electronic Edition (link) BibTeX
- Mario Marchand, Saeed Hadjifaradji:
Learning Stochastic Perceptrons Under k-Blocking Distributions.
279-286
Electronic Edition (link) BibTeX
- Peter Sollich, David Saad:
Learning from queries for maximum information gain in imperfectly learnable problems.
287-294
Electronic Edition (link) BibTeX
- Ronny Meir:
Bias, Variance and the Combination of Least Squares Estimators.
295-302
Electronic Edition (link) BibTeX
- N. Barkai, H. Sebastian Seung, Haim Sompolinsky:
On-line Learning of Dichotomies.
303-310
Electronic Edition (link) BibTeX
- José Carlos Príncipe, Jyh-Ming Kuo:
Dynamic Modelling of Chaotic Time Series with Neural Networks.
311-318
Electronic Edition (link) BibTeX
- Jianfeng Feng, Hong Pan, Vwani P. Roychowdhury:
A Rigorous Analysis of Linsker-Type Hebbian Learning.
319-326
Electronic Edition (link) BibTeX
- Michael J. Turmon, Terrence Fine:
Sample Size Requirements for Feedforward Neural Networks.
327-334
Electronic Edition (link) BibTeX
Reinforcement Learning
- Sayandev Mukherjee, Terrence Fine:
Asymptotics of Gradient-based Neural Network Training Algorithms.
335-342
Electronic Edition (link) BibTeX
- Tommi Jaakkola, Satinder P. Singh, Michael I. Jordan:
Reinforcement Learning Algorithm for Partially Observable Markov Decision Problems.
345-352
Electronic Edition (link) BibTeX
- Mance E. Harmon, Leemon C. Baird III, A. Harry Klopf:
Advantage Updating Applied to a Differrential Game.
353-360
Electronic Edition (link) BibTeX
- Satinder P. Singh, Tommi Jaakkola, Michael I. Jordan:
Reinforcement Learning with Soft State Aggregation.
361-368
Electronic Edition (link) BibTeX
- Justin A. Boyan, Andrew W. Moore:
Generalization in Reinforcement Learning: Safely Approximating the Value Function.
369-376
Electronic Edition (link) BibTeX
- Andrew McCallum:
Instance-Based State Identification for Reinforcement Learning.
377-384
Electronic Edition (link) BibTeX
- Sebastian Thrun, Anton Schwartz:
Finding Structure in Reinforcement Learning.
385-392
Electronic Edition (link) BibTeX
- Steven J. Bradtke, Michael O. Duff:
Reinforcement Learning Methods for Continuous-Time Markov Decision Problems.
393-400
Electronic Edition (link) BibTeX
Algorithms and Architectures
- Robert H. Crites, Andrew G. Barto:
An Actor/Critic Algorithm that is Equivalent to Q-Learning.
401-408
Electronic Edition (link) BibTeX
- Yaser S. Abu-Mostafa:
Financial Applications of Learning from Hints.
411-418
Electronic Edition (link) BibTeX
- Volker Tresp, Michiaki Taniguchi:
Combining Estimators Using Non-Constant Weighting Functions.
419-426
Electronic Edition (link) BibTeX
- Yoshua Bengio, Paolo Frasconi:
An Input Output HMM Architecture.
427-434
Electronic Edition (link) BibTeX
- Lawrence K. Saul, Michael I. Jordan:
Boltzmann Chains and Hidden Markov Models.
435-442
Electronic Edition (link) BibTeX
- Gerhard Paass, Jörg Kindermann:
Bayesian Query Construction for Neural Network Models.
443-450
Electronic Edition (link) BibTeX
- Shumeet Baluja, Dean Pomerleau:
Using a Saliency Map for Active Spatial Selective Attention: Implementation & Initial Results.
451-458
Electronic Edition (link) BibTeX
- Thomas Hofmann, Joachim M. Buhmann:
Multidimensional Scaling and Data Clustering.
459-466
Electronic Edition (link) BibTeX
- Anthony J. Bell, Terrence J. Sejnowski:
A Non-linear Information Maximisation Algorithm that Performs Blind Separation.
467-474
Electronic Edition (link) BibTeX
- Nicol N. Schraudolph, Terrence J. Sejnowski:
Plasticity-Mediated Competitive Learning.
475-480
Electronic Edition (link) BibTeX
- Fu-Sheng Tsung, Garrison W. Cottrell:
Phase-Space Learning.
481-488
Electronic Edition (link) BibTeX
- David A. Nix, Andreas S. Weigend:
Learning Local Error Bars for Nonlinear Regression.
489-496
Electronic Edition (link) BibTeX
- Jörg Bruske, Gerald Sommer:
Dynamic Cell Structures.
497-504
Electronic Edition (link) BibTeX
- Sebastian Thrun:
Extracting Rules from Artifical Neural Networks with Distributed Representations.
505-512
Electronic Edition (link) BibTeX
- Bruce Graham, David J. Willshaw:
Capacity and Information Efficiency of a Brain-like Associative Net.
513-520
Electronic Edition (link) BibTeX
- Michael R. Berthold, Jay Diamond:
Boosting the Performance of RBF Networks with Dynamic Decay Adjustment.
521-528
Electronic Edition (link) BibTeX
- Sepp Hochreiter, Jürgen Schmidhuber:
Simplifying Neural Nets by Discovering Flat Minima.
529-536
Electronic Edition (link) BibTeX
- Laurens R. Leerink, C. Lee Giles, Bill G. Horne, Marwan A. Jabri:
Learning with Product Units.
537-544
Electronic Edition (link) BibTeX
- Naonori Ueda, Ryohei Nakano:
Deterministic Annealing Variant of the EM Algorithm.
545-552
Electronic Edition (link) BibTeX
- Yoshua Bengio, Paolo Frasconi:
Diffusion of Credit in Markovian Models.
553-560
Electronic Edition (link) BibTeX
- Joshua B. Tenenbaum, Emanuel Todorov:
Factorial Learning by Clustering Features.
561-568
Electronic Edition (link) BibTeX
- Michael D. Lemmon, Peter T. Szymanski:
Interior Point Implementations of Alternating Minimization Training.
569-576
Electronic Edition (link) BibTeX
- Daniel L. James, Risto Miikkulainen:
SARDNET: A Self-Organizing Feature Map for Sequences.
577-584
Electronic Edition (link) BibTeX
- Léon Bottou, Yoshua Bengio:
Convergence Properties of the K-Means Algorithms.
585-592
Electronic Edition (link) BibTeX
- Kah Kay Sung, Partha Niyogi:
Active Learning for Function Approximation.
593-600
Electronic Edition (link) BibTeX
- Thomas R. Shultz, Yuriko Oshima-Takane, Yoshio Takane:
Analysis of Unstandardized Contributions in Cross Connected Networks.
601-608
Electronic Edition (link) BibTeX
- Jay A. Alexander, Michael Mozer:
Template-Based Algorithms for Connectionist Rule Extraction.
609-616
Electronic Edition (link) BibTeX
- Zoubin Ghahramani:
Factorial Learning and the EM Algorithm.
617-624
Electronic Edition (link) BibTeX
- Bernd Fritzke:
A Growing Neural Gas Network Learns Topologies.
625-632
Electronic Edition (link) BibTeX
- Lei Xu, Michael I. Jordan, Geoffrey E. Hinton:
An Alternative Model for Mixtures of Experts.
633-640
Electronic Edition (link) BibTeX
- Christopher M. Bishop, Claire Legleye:
Estimating Conditional Probability Densities for Periodic Variables.
641-648
Electronic Edition (link) BibTeX
- Kam-Chuen Jim, Bill G. Horne, C. Lee Giles:
Effects of Noise on Convergence and Generalization in Recurrent Networks.
649-656
Electronic Edition (link) BibTeX
- Rich Caruana:
Learning Many Related Tasks at the Same Time with Backpropagation.
657-664
Electronic Edition (link) BibTeX
- Alessandro Sperduti, David G. Stork:
A Rapid Graph-based Method for Arbitrary Transformation-Invariant Pattern Classification.
665-672
Electronic Edition (link) BibTeX
- Morten With Pedersen, Lars Kai Hansen:
Recurrent Networks: Second Order Properties and Pruning.
673-680
Electronic Edition (link) BibTeX
- Nanda Kambhatla, Todd K. Leen:
Classifying with Gaussian Mixtures and Clusters.
681-688
Electronic Edition (link) BibTeX
- Volker Tresp, Ralph Neuneier, Subutai Ahmad:
Efficient Methods for Dealing with Missing Data in Supervised Learning.
689-696
Electronic Edition (link) BibTeX
- Bill G. Horne, C. Lee Giles:
An experimental comparison of recurrent neural networks.
697-704
Electronic Edition (link) BibTeX
- David A. Cohn, Zoubin Ghahramani, Michael I. Jordan:
Active Learning with Statistical Models.
705-712
Electronic Edition (link) BibTeX
- Steven Gold, Anand Rangarajan, Eric Mjolsness:
Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures.
713-720
Electronic Edition (link) BibTeX
Implementations
- Peter T. Kazlas, Andreas S. Weigend:
Direct Multi-Step Time Series Prediction Using TD-lambda.
721-728
Electronic Edition (link) BibTeX
- Richard Coggins, Marwan A. Jabri, Barry Flower, Stephen Pickard:
ICEG Morphology Classification using an Analogue VLSI Neural Network.
731-738
Electronic Edition (link) BibTeX
- Bradley A. Minch, Paul E. Hasler, Chris Diorio, Carver Mead:
A Silicon Axon.
739-746
Electronic Edition (link) BibTeX
- Michael P. Perrone, Leon N. Cooper:
The Ni1000: High Speed Parallel VLSI for Implementing Multilayer Perceptrons.
747-754
Electronic Edition (link) BibTeX
- Teresa Serrano-Gotarredona, Bernabé Linares-Barranco, José Luis Huertas:
A Real Time Clustering CMOS Neural Engine.
755-762
Electronic Edition (link) BibTeX
- A. J. Holmes, Alan F. Murray, Stephen Churcher, J. Hajto, M. J. Rose:
Pulsestream Synapses with Non-Volatile Analogue Amorphous-Silicon Memories.
763-769
Electronic Edition (link) BibTeX
- James Edward Steck, Steven R. Skinner, Alvaro A. Cruz-Cabrara, Elizabeth C. Behrman:
A Lagrangian Formulation For Optical Backpropagation Training In Kerr-Type Optical Networks.
771-778
Electronic Edition (link) BibTeX
- Gert Cauwenberghs, Volnei A. Pedroni:
A Charge-Based Parallel Analog Vector Quantizer.
779-787
Electronic Edition (link) BibTeX
- Timothy K. Horiuchi:
An Auditory Localization and Coordinate Transform Chip.
787-794
Electronic Edition (link) BibTeX
- Fernando J. Pineda, Andreas G. Andreou:
An Analog Neural Network Inspired by Fractal Block Coding.
795-802
Electronic Edition (link) BibTeX
- D. Lippe, Joshua Alspector:
A Study of Parallel Perturbative Gradient Descent.
803-810
Electronic Edition (link) BibTeX
- Il Song Han, Ki-Chul Kim, Hwang-Soo Lee:
Implementation of Neural Hardware with the Neural VLSI of URAN in Applications with Reduced Representations.
811-815
Electronic Edition (link) BibTeX
Speech and Signal Processing
- Paul E. Hasler, Chris Diorio, Bradley A. Minch, Carver Mead:
Single Transistor Learning Synapses.
817-824
Electronic Edition (link) BibTeX
- Malcolm Slaney:
Pattern Playback in the 90s.
827-834
Electronic Edition (link) BibTeX
- Steve R. Waterhouse, Anthony J. Robinson:
Non-linear Prediction of Acoustic Vectors Using Hierarchical Mixtures of Experts.
835-842
Electronic Edition (link) BibTeX
- Sidney Fels, Geoffrey E. Hinton:
Glove-TalkII: Mapping Hand Gestures to Speech Using Neural Networks.
843-850
Electronic Edition (link) BibTeX
- Javier R. Movellan:
Visual Speech Recognition with Stochastic Networks.
851-858
Electronic Edition (link) BibTeX
- Ying Zhao, Richard M. Schwartz, Jason J. Sroka, John Makhoul:
Hierarchical Mixtures of Experts Methodology Applied to Continuous Speech Recognition.
859-865
Electronic Edition (link) BibTeX
- Cesare Furlanello, Diego Giuliani, Edmondo Trentin:
Connectionist Speaker Normalization with Generalized Resource Allocating Networks.
865-874
Electronic Edition (link) BibTeX
- Eric I. Chang, Richard Lippmann:
Using Voice Transformations to Create Additional Training Talkers for Word Spotting.
875-882
Electronic Edition (link) BibTeX
Visual Processing
- Andrew D. Back, Ah Chung Tsoi:
A Comparison of Discrete-Time Operator Models and for Nonlinear System Identification.
883-890
Electronic Edition (link) BibTeX
- Rajesh P. N. Rao, Dana H. Ballard:
Learning Saccadic Eye Movements Using Multiscale Spatial Filters.
893-900
Electronic Edition (link) BibTeX
- Steven J. Nowlan, John C. Platt:
A Convolutional Neural Network Hand Tracker.
901-908
Electronic Edition (link) BibTeX
- Trevor Darrell, Irfan A. Essa, Alex Pentland:
Correlation and Interpolation Networks for Real-time Expression Analysis/Synthesis.
909-916
Electronic Edition (link) BibTeX
- V. Sundareswaran, Lucia M. Vaina:
Learning direction in global motion: two classes of psychophysically-motivated models.
917-924
Electronic Edition (link) BibTeX
- Dawei W. Dong:
Associative Decorrelation Dynamics: A Theory of Self-Organization and Optimization in Feedback Networks.
925-932
Electronic Edition (link) BibTeX
- Suzanna Becker:
JPMAX: Learning to Recognize Moving Objects as a Model-fitting Problem.
933-940
Electronic Edition (link) BibTeX
- Horst Bischof, Kurt Hornik:
PCA-Pyramids for Image Compression.
941-948
Electronic Edition (link) BibTeX
- Satoshi Suzuki, Hiroshi Ando:
Unsupervised Classification of 3D Objects from 2D Views.
949-956
Electronic Edition (link) BibTeX
- Steven Gold, Chien-Ping Lu, Anand Rangarajan, Suguna Pappu, Eric Mjolsness:
New Algorithms for 2D and 3D Point Matching: Pose Estimation and Correspondence.
957-964
Electronic Edition (link) BibTeX
- Christopher K. I. Williams, Michael Revow, Geoffrey E. Hinton:
Using a neural net to instantiate a deformable model.
965-972
Electronic Edition (link) BibTeX
- Christoph Bregler, Stephen M. Omohundro:
Nonlinear Image Interpolation using Manifold Learning.
973-980
Electronic Edition (link) BibTeX
Applications
- Clay Spence, John C. Pearson, Jim Bergen:
Coarse-to-Fine Image Search Using Neural Networks.
981-988
Electronic Edition (link) BibTeX
- Holger Schwenk, Maurice Milgram:
Transformation Invariant Autoassociation with Application to Handwritten Character Recognition.
992-998
Electronic Edition (link) BibTeX
- Trevor Hastie, Patrice Simard:
Learning Prototype Models for Tangent Distance.
999-1006
Electronic Edition (link) BibTeX
- Christopher M. Bishop:
Real-Time Control of a Tokamak Plasma Using Neural Networks.
1007-1014
Electronic Edition (link) BibTeX
- Geoffrey E. Hinton, Michael Revow, Peter Dayan:
Recognizing Handwritten Digits Using Mixtures of Linear Models.
1015-1022
Electronic Edition (link) BibTeX
- Terence D. Sanger:
Optimal Movement Primitives.
1023-1030
Electronic Edition (link) BibTeX
- Ke Liu, Robert L. Tokar, Brain D. McVey:
An Integrated Architecture of Adaptive Neural Network Control for Dynamic Systems.
1031-1038
Electronic Edition (link) BibTeX
- Dean Pomerleau:
A Connectionist Technique for Accelerated Textual Input: Letting a Network Do the Typing.
1039-1046
Electronic Edition (link) BibTeX
- Jürgen Schmidhuber, Stefan Heil:
Predictive Coding with Neural Nets: Application to Text Compression.
1047-1054
Electronic Edition (link) BibTeX
- Richard Lippmann, Linda Kukolich, David Shahian:
Predicting the Risk of Complications in Coronary Artery Bypass Operations using Neural Networks.
1055-1062
Electronic Edition (link) BibTeX
- Harry B. Burke, David B. Rosen, Philip H. Goodman:
Comparing the prediction accuracy of artifical neural networks and other statistical models for breast cancer survival.
1063-1067
Electronic Edition (link) BibTeX
- Sebastian Thrun:
Learning to Play the Game of Chess.
1069-1076
Electronic Edition (link) BibTeX
- Magnus Stensmo, Terrence J. Sejnowski:
A Mixture Model System for Medical and Machine Diagnosis.
1077-1084
Electronic Edition (link) BibTeX
- Padhraic Smyth, Usama M. Fayyad, Michael C. Burl, Pietro Perona, Pierre Baldi:
Inferring Ground Truth from Subjective Labelling of Venus Images.
1085-1092
Electronic Edition (link) BibTeX
- Stefan Manke, Michael Finke, Alex Waibel:
The Use of Dynamic Writing Information in a Connectionist On-Line Cursive Handwriting Recognition System.
1093-1100
Electronic Edition (link) BibTeX
- Minoru Asogawa:
Adaptive Elastic Input Field for Recognition Improvement.
1101-1108
Electronic Edition (link) BibTeX
- David Price, Stefan Knerr, Léon Personnaz, Gérard Dreyfus:
Pairwise Neural Network Classifiers with Probabilistic Outputs.
1109-1116
Electronic Edition (link) BibTeX
- Reza Shadmehr, Tom Brashers-Krug, Ferdinando A. Mussa-Ivaldi:
Interference in Learning Internal Models of Inverse Dynamics in Humans.
1117-1124
Electronic Edition (link) BibTeX
- Zoubin Ghahramani, Daniel M. Wolpert, Michael I. Jordan:
Computational Structure of coordinate transformations: A generalization study.
1125-1132
Electronic Edition (link) BibTeX
Copyright © Sat May 16 23:31:29 2009
by Michael Ley (ley@uni-trier.de)
