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JETAI
1998
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13 years 11 months ago
Independency relationships and learning algorithms for singly connected networks
Graphical structures such as Bayesian networks or Markov networks are very useful tools for representing irrelevance or independency relationships, and they may be used to e cientl...
Luis M. de Campos
WWW
2004
ACM
15 years 4 days ago
Reactive rules inference from dynamic dependency models
Defining dependency models is sometimes an easier, more intuitive way for ontology representation than defining reactive rectly, as it provides a higher level of abstraction. We w...
Asaf Adi, Opher Etzion, Dagan Gilat, Royi Ronen, G...