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HIS
2004
13 years 10 months ago
Neural Networks and Belief Logic
Many researchers have observed that neurons process information in an imprecise manner - if a logical inference emerges from neural computation, it is inexact at best. Thus, there...
Yuan Yan Chen, Joseph J. Chen
HIS
2003
13 years 10 months ago
A Hybrid Approach for Learning Parameters of Probabilistic Networks from Incomplete Databases
– Probabilistic Inference Networks are becoming increasingly popular for modeling and reasoning in uncertain domains. In the past few years, many efforts have been made in learni...
S. Haider
SIPS
2008
IEEE
14 years 2 months ago
Analysis of belief propagation for hardware realization
Belief propagation has become a popular technique for solving computer vision problems, such as stereo estimation and image denoising. However, it requires large memory and bandwi...
Chao-Chung Cheng, Chia-Kai Liang, Yen-Chieh Lai, H...
ECSQARU
2007
Springer
14 years 2 months ago
On Latent Belief Structures
Based on the canonical decomposition of belief functions, Smets introduced the concept of a latent belief structure (LBS). This concept is revisited in this article. The study of t...
Frédéric Pichon, Thierry Denoeux
CSFW
2005
IEEE
14 years 2 months ago
Belief in Information Flow
To reason about information flow based on beliefs, a new model is developed that describes how attacker beliefs change due to the attacker’s observation of the execution of a p...
Michael R. Clarkson, Andrew C. Myers, Fred B. Schn...