Background: Yu et al. (BMC Bioinformatics 2007,8: 145+) have recently compared the performance of several methods for the detection of genomic amplification and deletion breakpoin...
In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov Model (EBN-HMM) for tracking and predicting the de...
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tib&...
Graphical models are a framework for representing and exploiting prior conditional independence structures within distributions using graphs. In the Gaussian case, these models are...
One special challenge facing teachers, planners and researchers is the development of pedagogical models, teaching methods and teaching practices that are applicable in network-bas...
Concurrent software is difficult to verify. Because the thread schedule is not controlled by the application, testing may miss defects that occur under specific thread schedules. T...