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» Conditionalization and total knowledge
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JANCL
2008
109views more  JANCL 2008»
13 years 3 months ago
Conditionalization and total knowledge
This paper employs epistemic logic to investigate the philosophical foundations of Bayesian updating in belief revision. By Bayesian updating, we understand the tenet that an agen...
Ian Pratt-Hartmann
AAAI
2010
13 years 5 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
ECCV
2010
Springer
13 years 2 months ago
Hybrid Compressive Sampling via a New Total Variation TVL1
Compressive sampling (CS) is aimed at acquiring a signal or image from data which is deemed insufficient by Nyquist/Shannon sampling theorem. Its main idea is to recover a signal ...
Xianbiao Shu, Narendra Ahuja
ICASSP
2011
IEEE
12 years 7 months ago
Weighted and structured sparse total least-squares for perturbed compressive sampling
Solving linear regression problems based on the total least-squares (TLS) criterion has well-documented merits in various applications, where perturbations appear both in the data...
Hao Zhu, Georgios B. Giannakis, Geert Leus
AAAI
2000
13 years 5 months ago
Total Knowledge
In this paper, we analyse a concept of total knowledge based on the idea that an agent's total knowledge is the strongest proposition the agent knows. We propose semantics fo...
Ian Pratt-Hartmann