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NIPS
1997
15 years 5 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
152
Voted
WEBNET
2000
15 years 5 months ago
New Approaches to Law Education: Making the Case for Web-based Learning
: Web-based instruction and online learning are changing customary practices in education. As conventional patterns for content delivery are influenced by new and improving technol...
Jennifer Gramling, Tom Galligan, Jean A. Derco
149
Voted
WSC
2000
15 years 5 months ago
Using simulation and critical points to define states in continuous search spaces
Many artificial intelligence techniques rely on the notion ate" as an abstraction of the actual state of the nd an "operator" as an abstraction of the actions that ...
Marc S. Atkin, Paul R. Cohen
WSC
2000
15 years 5 months ago
Input modeling using a computer algebra system
Input modeling that involves fitting standard univariate parametric probability distributions is typically performed using an input modeling package. These packages typically fit ...
Diane L. Evans, Lawrence Leemis
WSC
2000
15 years 5 months ago
Abstract modeling for engineering and engagement level simulations
MODELING FOR ENGINEERING AND ENGAGEMENT LEVEL SIMULATIONS Robert M. McGraw Richard A. MacDonald RAM Laboratories, Inc. 6540 Lusk Boulevard, Suite C200 San Diego, CA 92121, U.S.A. ...
Robert M. McGraw, Richard A. MacDonald
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