68 search results - page 1 / 14 » Updating beliefs with incomplete observations |
AI
2004
Springer
15 years 4 days ago
2004
Springer
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...
116
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SUM
2009
Springer
15 years 6 months ago
2009
Springer
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...
103
Voted
ISIPTA
2005
IEEE
15 years 5 months ago
2005
IEEE
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...
106
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UAI
2003
15 years 1 months ago
2003
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...
115
Voted
ECML
2005
Springer
15 years 5 months ago
2005
Springer
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...