Abstract--This paper presents a dynamic predictiveoptimization framework of a nonlinear temporal process. Datamining (DM) and evolutionary strategy algorithms are integrated in the...
We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
Constantinos Constantinopoulos, Michalis K. Titsia...
We consider the problem of optimal channel access to provide quality of service (QoS) for data transmission in cognitive vehicular networks. In such a network the vehicular nodes ...
Model checking based on validating temporal logic formulas has proven practical and effective for numerous software engineering applications. As systems based on this approach ha...
Most modern RDBMS depend on the query processing optimizer’s cost model to choose the best execution plan for a given query. Since the physical IO (PIO) is a costly operation to...