In this paper we present decomposable priors, a family of priors over structure and parameters of tree belief nets for which Bayesian learning with complete observations is tracta...
The Resource Description Framework [RDF] provides a basic model to describe relationships between objects. Ultimately, it is intended to permit the representation, combination and ...
Our research is motivated by the scaleability, availability, and extensibility challenges in deploying open systems based, enterprise operational applications. We present Delta...
Van Oleson, Karsten Schwan, Greg Eisenhauer, Beth ...
An on-road analytical tire model has been developed to predict tire forces and moments at the tire/road interface. The model is computationally efficient and it only requires a li...
This paper re-examines the problem of parameter estimation in Bayesian networks with missing values and hidden variables from the perspective of recent work in on-line learning [1...