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» Monotonicity in Bayesian Networks
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ECML
2006
Springer
15 years 7 months ago
EM Algorithm for Symmetric Causal Independence Models
Causal independence modelling is a well-known method both for reducing the size of probability tables and for explaining the underlying mechanisms in Bayesian networks. In this pap...
Rasa Jurgelenaite, Tom Heskes
EUROPAR
2006
Springer
15 years 7 months ago
Comparison of Different Methods for Next Location Prediction
Next location prediction anticipates a person's movement based on the history of previous sojourns. It is useful for proactive actions taken to assist the person in an ubiquit...
Jan Petzold, Faruk Bagci, Wolfgang Trumler, Theo U...
ISMIS
2000
Springer
15 years 7 months ago
A Comparative Study of Noncontextual and Contextual Dependencies
There is current interest in generalizing Bayesian networks by using dependencies which are more general than probabilistic conditional independence (CI). Contextual dependencies, ...
S. K. Michael Wong, Cory J. Butz
119
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PRICAI
2000
Springer
15 years 7 months ago
Trading Off Granularity against Complexity
The automated prediction of a user's interests and requirements is an area of interest to the Artificial Intelligence community. However, current predictive statistical approa...
Ingrid Zukerman, David W. Albrecht, Ann E. Nichols...
FLAIRS
2007
15 years 6 months ago
System Diagnosability Analysis Using p-slop MAP
Researchers have reported successful deployments of diagnosis decision support systems based on Bayesian networks. However, the methodology for evaluating the diagnosability for s...
Tsai-Ching Lu, K. Wojtek Przytula