1242 search results - page 85 / 249 » Learning Belief Networks from Data: An Information Theory Ba... |
AAAI
1998
13 years 10 months ago
1998
The Web is based on a browsing paradigm that makes it di cult to retrieve and integrate data from multiple sites. Today, the only way to do this is to build specialized applicatio...
AMCS
2010
13 years 9 months ago
2010
satisfactory network connectivity have dominated this line of research and abstracted away from the mathematical description of the physical processes underlying the observed pheno...
ESANN
2007
13 years 10 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
ATAL
2008
Springer
13 years 11 months ago
2008
Springer
We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...
IDA
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...