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» Updating with incomplete observations
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AI
2004
Springer
10 years 2 months ago
Updating beliefs with incomplete observations
Currently, there is renewed interest in the problem, raised by Shafer in 1985, of updating probabilities when observations are incomplete (or set-valued). This is a fundamental pro...
Gert de Cooman, Marco Zaffalon
UAI
2003
10 years 4 months ago
Updating with incomplete observations
Currently, there is renewed interest in the problem, raised by Shafer in 1985, of updating probabilities when observations are incomplete (or setvalued). This is a fundamental pro...
Gert de Cooman, Marco Zaffalon
CORR
2010
Springer
105views Education» more  CORR 2010»
10 years 3 months ago
Online Identification and Tracking of Subspaces from Highly Incomplete Information
This work presents GROUSE (Grassmanian Rank-One Update Subspace Estimation), an efficient online algorithm for tracking subspaces from highly incomplete observations. GROUSE requi...
Laura Balzano, Robert Nowak, Benjamin Recht
SUM
2009
Springer
10 years 9 months ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti
ISIPTA
2005
IEEE
140views Mathematics» more  ISIPTA 2005»
10 years 8 months ago
Conservative Rules for Predictive Inference with Incomplete Data
This paper addresses the following question: how should we update our beliefs after observing some incomplete data, in order to make credible predictions about new, and possibly i...
Marco Zaffalon
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