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Publication search results
found 128 matches
- 1993
- Stephen Jose Hanson, Jack D. Cowan, C. Lee Giles:
Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30 - December 3, 1992]. Morgan Kaufmann 1993, ISBN 1-55860-274-7 [contents] - 1992
- Yaser S. Abu-Mostafa:
A Method for Learning From Hints. NIPS 1992: 73-80 - Subutai Ahmad, Volker Tresp:
Some Solutions to the Missing Feature Problem in Vision. NIPS 1992: 393-400 - Joshua Alspector, Ronny Meir, Ben P. Yuhas, Anthony Jayakumar, D. Lippe:
A Parallel Gradient Descent Method for Learning in Analog VLSI Neural Networks. NIPS 1992: 836-844 - Charles W. Anderson:
Q-Learning with Hidden-Unit Restarting. NIPS 1992: 81-88 - Janeen Anderson, John C. Platt, David Blair Kirk:
An Analog VLSI Chip for Radial Basis Functions. NIPS 1992: 765-772 - Bill Baird, Todd Troyer, Frank H. Eeckman:
Synchronization and Grammatical Inference in an Oscillating Elman Net. NIPS 1992: 236-243 - Pierre Baldi, Yves Chauvin, Tim Hunkapiller, Marcella A. McClure:
Hidden Markov Models in Molecular Biology: New Algorithms and Applications. NIPS 1992: 747-754 - Daphne Bavelier, Michael I. Jordan:
A Dynamical Model of Priming and Repetition Blindness. NIPS 1992: 879-886 - Suzanna Becker:
Learning to Categorize Objects Using Temporal Coherence. NIPS 1992: 361-368 - Richard K. Belew:
Interposing an Ontogenetic Model Between Genetic Algorithms and Neural Networks. NIPS 1992: 99-106 - Brian V. Bonnlander, Michael Mozer:
Metamorphosis Networks: An Alternative to Constructive Models. NIPS 1992: 131-138 - Christopher Bowman:
Neural Network On-Line Learning Control of Spacecraft Smart Structures. NIPS 1992: 303-310 - Steven J. Bradtke:
Reinforcement Learning Applied to Linear Quadratic Regulation. NIPS 1992: 295-302 - Carlos D. Brody:
A Model of Feedback to the Lateral Geniculate Nucleus. NIPS 1992: 409-416 - Neil Burgess, John O'Keefe, Michael Recce:
Using Hippocampal 'Plane Cells' for Navigation, Exploiting Phase Coding. NIPS 1992: 929-936 - Gert Cauwenberghs:
A Fast Stochastic Error-Descent Algorithm for Supervised Learning and Optimization. NIPS 1992: 244-251 - Eric I. Chang, Richard Lippmann:
A Boundary Hunting Radial Basis Function Classifier which Allocates Centers Constructively. NIPS 1992: 139-146 - Stephen Churcher, Donald J. Baxter, Alister Hamilton, Alan F. Murray, H. Martin Reekie:
Generic Analog Neural Computation - The Epsilon Chip. NIPS 1992: 773-780 - Olivier J. M. D. Coenen, Terrence J. Sejnowski, Stephen G. Lisberger:
Biologically Plausible Local Learning Rules for the Adaptation of the Vestibulo-Ocular Reflex. NIPS 1992: 961-968 - Michael Cohen, Horacio Franco, Nelson Morgan, David E. Rumelhart, Victor Abrash:
Context-Dependent Multiple Distribution Phonetic Modeling with MLPs. NIPS 1992: 649-657 - Yann LeCun, Patrice Y. Simard, Barak A. Pearlmutter:
Automatic Learning Rate Maximization in Large Adaptive Machines. NIPS 1992: 156-163 - Sreerupa Das, C. Lee Giles
, Guo-Zheng Sun:
Using Prior Knowledge in a {NNPDA} to Learn Context-Free Languages. NIPS 1992: 65-72 - Peter Dayan, Geoffrey E. Hinton:
Feudal Reinforcement Learning. NIPS 1992: 271-278 - David DeMers, Garrison W. Cottrell:
Non-Linear Dimensionality Reduction. NIPS 1992: 580-587 - David DeMers, Kenneth Kreutz-Delgado:
Global Regularization of Inverse Kinematics for Redundant Manipulators. NIPS 1992: 255-262 - Kenji Doya, Mary E. T. Boyle, Allen I. Selverston:
Maaping Between Neural and Physical Activities of the Lobster Gastric Mill. NIPS 1992: 913-920 - Bernard Doyon, Bruno Cessac, Mathias Quoy, Manuel Samuelides:
Destabilization and Route to Chaos in Neural Networks with Random Connectivity. NIPS 1992: 549-555 - Harris Drucker, Robert E. Schapire, Patrice Y. Simard:
Improving Performance in Neural Networks Using a Boosting Algorithm. NIPS 1992: 42-49 - Gerald Fahner, Rolf Eckmiller:
Learning Spatio-Temporal Planning from a Dynamic Programming Teacher: Feed-Forward Neurocontrol for Moving Obstacle Avoidance. NIPS 1992: 342-349
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