95 search results - page 18 / 19 » Learning Markov Logic Networks Using Structural Motifs |
HICSS
2007
IEEE
13 years 11 months ago
2007
IEEE
— Bayesian networks play a key role in decision support within health care. Physicians rely on Bayesian networks to give medical treatment, generate what-if scenarios, and other ...
Book
"Artificial Intelligence (AI) is a big field, and this is a big book. We have tried to explore the full breadth of the field, which encompasses logic, probability, and continu...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
AAAI
2010
13 years 6 months ago
2010
Lifting can greatly reduce the cost of inference on firstorder probabilistic graphical models, but constructing the lifted network can itself be quite costly. In online applicatio...
WWW
2008
ACM
14 years 5 months ago
2008
ACM
This paper considers the problem of identifying on the Web compound documents (cDocs) ? groups of web pages that in aggregate constitute semantically coherent information entities...