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» On the Revision of Probabilistic Beliefs using Uncertain Evi...
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FLAIRS
2009
13 years 3 months ago
Modeling Belief Change on Epistemic States
Belief revision always results in trusting new evidence, so it may admit an unreliable one and discard a more confident one. We therefore use belief change instead of belief revis...
Jianbing Ma, Weiru Liu
EUSFLAT
2009
121views Fuzzy Logic» more  EUSFLAT 2009»
13 years 3 months ago
A New Conditioning Rule, Its Generalization and Evidential Reasoning
- In Evidence theory, several conditioning rules for updating belief have been proposed, including Dempster's rule of conditioning. The paper views the conditioning rules prop...
Koichi Yamada, Vilany Kimala, Muneyuki Unehara
KI
2010
Springer
13 years 3 months ago
Soft Evidential Update via Markov Chain Monte Carlo Inference
The key task in probabilistic reasoning is to appropriately update one’s beliefs as one obtains new information in the form of evidence. In many application settings, however, th...
Dominik Jain, Michael Beetz
JAIR
1998
198views more  JAIR 1998»
13 years 5 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
ICONIP
2009
13 years 3 months ago
Probabilistic Combination of Multiple Evidence
In pattern recognition systems, data fusion is an important issue and evidence theory is one such method that has been successful. Many researchers have proposed different rules fo...
Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonseop...