Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Since the September 11th terror attack at New York in 2001, the frequency of terror attacks around the world has been increasing and it draws more attention of the public. On Janua...
Background: To facilitate efficient selection and the prioritization of candidate complex disease susceptibility genes for association analysis, increasingly comprehensive annotat...
Judith E. Stenger, Hong Xu, Carol Haynes, Elizabet...
Scheduling DAGs with communication times is the theoretical basis for achieving efficient parallelism on distributed memory systems. We generalize Graham's task-level in a ma...
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...