68 search results - page 1 / 14 » Updating beliefs with incomplete observations |
AI
2004
Springer
13 years 4 months 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...
SUM
2009
Springer
13 years 11 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...
ISIPTA
2005
IEEE
13 years 10 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...
UAI
2003
13 years 6 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...
ECML
2005
Springer
13 years 10 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...