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IJCAI
2003
11 years 2 months ago
On the Revision of Probabilistic Beliefs using Uncertain Evidence
We revisit the problem of revising probabilistic beliefs using uncertain evidence, and report results on four major issues relating to this problem: How to specify uncertain evide...
Hei Chan, Adnan Darwiche
AAAI
2010
11 years 2 months ago
A Belief Revision Framework for Revising Epistemic States with Partial Epistemic States
Belief revision performs belief change on an agent's beliefs when new evidence (either of the form of a propositional formula or of the form of a total pre-order on a set of ...
Jianbing Ma, Weiru Liu, Salem Benferhat
ISMIS
2009
Springer
11 years 7 months ago
A General Framework for Revising Belief Bases Using Qualitative Jeffrey's Rule
Intelligent agents require methods to revise their epistemic state as they acquire new information. Jeffrey’s rule, which extends conditioning to uncertain inputs, is used to re...
Salem Benferhat, Didier Dubois, Henri Prade, Mary-...
ICTAI
2006
IEEE
11 years 7 months ago
Belief Update in Bayesian Networks Using Uncertain Evidence
This paper reports our investigation on the problem of belief update in Bayesian networks (BN) using uncertain evidence. We focus on two types of uncertain evidences, virtual evid...
Rong Pan, Yun Peng, Zhongli Ding
AAAI
2008
11 years 3 months ago
Revising Imprecise Probabilistic Beliefs in the Framework of Probabilistic Logic Programming
Probabilistic logic programming is a powerful technique to represent and reason with imprecise probabilistic knowledge. A probabilistic logic program (PLP) is a knowledge base whi...
Anbu Yue, Weiru Liu
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