Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
Embedded systems are often subject to constraints that require determinism to ensure that task deadlines are met. Such systems are referred to as real-time systems. Schedulability...
Organizations have become increasingly dependent on computing systems to achieve their business goals. The performance of these systems in terms of response times and cost has a m...
M. Qin, R. Lee, Asham El Rayess, Vidar Vetland, Je...
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Database technology is one of the cornerstones for the new millennium's IT landscape. However, database systems as a unit of code packaging and deployment are at a crossroad:...