136 search results - page 8 / 28 » Context-Specific Independence in Bayesian Networks |
ECTEL
2006
Springer
14 years 1 months ago
2006
Springer
Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...
ECML
2006
Springer
14 years 1 months ago
2006
Springer
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...
COLING
2002
13 years 9 months ago
2002
We describe a mechanism for the interpretation of arguments, which can cope with noisy conditions in terms of wording, beliefs and argument structure. This is achieved through the...
IJUFKS
2000
13 years 9 months ago
2000
Theefficiency of algorithmsfor probabilistic inference in Bayesian networks can be improvedby exploiting independenceof causal influence. Thefactorized representation of independe...
AI
2005
Springer
13 years 9 months ago
2005
Springer
In designing a Bayesian network for an actual problem, developers need to bridge the gap between ematical abstractions offered by the Bayesian-network formalism and the features o...