We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
In the context of deployed spoken dialogue telecom services, we introduce a preprocessor called Fiction into the Spoken Language Understanding (SLU) component. It acts as an inter...
Distinct from wireless ad hoc networks, wireless sensor networks are data-centric, application-oriented, collaborative, and energyconstrained in nature. In this paper, formulate t...
Role-based provisioning has been adopted as a standard component in leading Identity Management products due to its low administration cost. However, the cost of adjusting existin...
Qun Ni, Jorge Lobo, Seraphin B. Calo, Pankaj Rohat...