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Publication search results
found 152 matches
- 1999
- Michael J. Kearns, Sara A. Solla, David A. Cohn:
Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30 - December 5, 1998]. The MIT Press 1999, ISBN 0-262-11245-0 [contents] - 1998
- L. F. Abbott, Sen Song:
Temporally Asymmetric Hebbian Learning, Spike liming and Neural Response Variability. NIPS 1998: 69-75 - Péter Adorján, Klaus Obermayer:
Contrast Adaptation in Simple Cells by Changing the Transmitter Release Probability. NIPS 1998: 76-82 - Mohammad A. Al-Ansari, Ronald J. Williams:
Robust, Efficient, Globally-Optimized Reinforcement Learning with the Parti-Game Algorithm. NIPS 1998: 961-967 - Hagai Attias:
Learning a Hierarchical Belief Network of Independent Factor Analyzers. NIPS 1998: 361-367 - Leemon C. Baird III, Andrew W. Moore:
Gradient Descent for General Reinforcement Learning. NIPS 1998: 968-974 - Shumeet Baluja:
Making Templates Rotationally Invariant. An Application to Rotated Digit Recognition. NIPS 1998: 847-853 - Shumeet Baluja:
Probabilistic Modeling for Face Orientation Discrimination: Learning from Labeled and Unlabeled Data. NIPS 1998: 854-860 - Pierre Baraduc, Emmanuel Guigon, Yves Burnod:
Where Does the Population Vector of Motor Cortical Cells Point during Reaching Movements? NIPS 1998: 83-89 - David Barber, Wim Wiegerinck:
Tractable Variational Structures for Approximating Graphical Models. NIPS 1998: 183-189 - Peter L. Bartlett, Vitaly Maiorov, Ron Meir:
Almost Linear VC Dimension Bounds for Piecewise Polynomial Networks. NIPS 1998: 190-196 - Kristin P. Bennett, Ayhan Demiriz:
Semi-Supervised Support Vector Machines. NIPS 1998: 368-374 - Nikhil Bhushan, Reza Shadmehr:
Evidence for a Forward Dynamics Model in Human Adaptive Motor Control. NIPS 1998: 3-9 - Mauro Birattari, Gianluca Bontempi, Hugues Bersini:
Lazy Learning Meets the Recursive Least Squares Algorithm. NIPS 1998: 375-381 - Christopher M. Bishop:
Bayesian PCA. NIPS 1998: 382-388 - Andrew Blake, Ben North, Michael Isard:
Learning Multi-Class Dynamics. NIPS 1998: 389-395 - Xavier Boyen, Daphne Koller:
Approximate Learning of Dynamic Models. NIPS 1998: 396-402 - Matthew Brand:
An Entropic Estimator for Structure Discovery. NIPS 1998: 723-729 - Thomas Briegel, Volker Tresp:
Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models. NIPS 1998: 403-409 - Lyndon J. Brown, Gregory E. Gonye, James S. Schwaber:
Non-Linear PI Control Inspired by Biological Control Systems. NIPS 1998: 975-981 - Timothy X. Brown, Hui Tong, Satinder Singh:
Optimizing Admission Control while Ensuring Quality of Service in Multimedia Networks via Reinforcement Learning. NIPS 1998: 982-988 - Gert Cauwenberghs, James Waskiewicz:
Analog VLSI Cellular Implementation of the Boundary Contour System. NIPS 1998: 657-663 - Frances S. Chance, Sacha B. Nelson, L. F. Abbott:
Recurrent Cortical Amplification Produces Complex Cell Responses. NIPS 1998: 90-96 - Gal Chechik, Isaac Meilijson, Eytan Ruppin:
Neuronal Regulation Implements Efficient Synaptic Pruning. NIPS 1998: 97-103 - Ke Chen, DeLiang L. Wang:
Perceiving without Learning: From Spirals to Inside/Outside Relations. NIPS 1998: 10-16 - Jung-Wook Cho, Soo-Young Lee:
Active Noise Canceling Using Analog Neuro-Chip with On-Chip Learning Capability. NIPS 1998: 664-670 - G. Bjorn Christianson, Suzanna Becker:
A Model for Associative Multiplication. NIPS 1998: 17-23 - Richard Coggins, Raymond J. Wang, Marwan A. Jabri:
A Micropower CMOS Adaptive Amplitude and Shift Invariant Vector Quantiser. NIPS 1998: 671-677 - Anthony C. C. Coolen, David Saad:
Dynamics of Supervised Learning with Restricted Training Sets. NIPS 1998: 197-203 - Dan Cornford, Ian T. Nabney, Christopher K. I. Williams:
Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields. NIPS 1998: 861-867
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