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» Parallel Distributed Belief Networks
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UAI
1996
15 years 1 months ago
Why is diagnosis using belief networks insensitive to imprecision in probabilities?
Recent research has found that diagnostic performance with Bayesian belief networks is often surprisingly insensitive to imprecision in the numerical probabilities. For example, t...
Max Henrion, Malcolm Pradhan, Brendan Del Favero, ...
PODC
1994
ACM
15 years 3 months ago
Using Belief to Reason about Cache Coherence
The notion of belief has been useful in reasoning about authentication protocols. In this paper, we show how the notion of belief can be applied to reasoning about cache coherence...
Lily B. Mummert, Jeannette M. Wing, Mahadev Satyan...
ICANN
2001
Springer
15 years 4 months ago
Nonlinear Adaptive Beliefs and the Dynamics of Financial Markets: The Role of the Evolutionary Fitness Measure
We introduce a simple asset pricing model with two types of adaptively learning traders, fundamentalists and technical traders. Traders update their beliefs according to past perfo...
Andrea Gaunersdorfer, Cars H. Hommes
NECO
2008
170views more  NECO 2008»
14 years 11 months ago
Representational Power of Restricted Boltzmann Machines and Deep Belief Networks
Deep Belief Networks (DBN) are generative neural network models with many layers of hidden explanatory factors, recently introduced by Hinton et al., along with a greedy layer-wis...
Nicolas Le Roux, Yoshua Bengio
IPPS
1998
IEEE
15 years 4 months ago
A New Self-Routing Multicast Network
Yuanyuan Yang, Jianchao Wang