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SUM
2009
Springer
14 years 2 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...
IPSN
2005
Springer
14 years 1 months ago
2005
Springer
Abstract— In some remote sensing applications, the functional relationship between the source being observed and the sensor readings may not be known. Because of communication co...
ESCIENCE
2007
IEEE
13 years 9 months ago
2007
IEEE
— The environmental science and engineering communities are actively engaged in planning and developing the next generation of large-scale sensor-based observing systems. These s...
IJCAI
2007
13 years 9 months ago
2007
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
UAI
1998
13 years 9 months ago
1998
The process of diagnosis involves learning about the state of a system from various observations of symptoms or findings about the system. Sophisticated Bayesian (and other) algor...