Diffusion tensor imaging is a magnetic resonance imaging method which has gained increasing importance in neuroscience and especially in neurosurgery. It acquires diffusion proper...
Frank Enders, Natascha Sauber, Dorit Merhof, Peter...
— Bayesian networks have extensively been used in numerous fields including artificial intelligence, decision theory and control. Its ability to utilize noisy and missing data ...
Thanura R. Elvitigala, Abhay K. Singh, Himadri B. ...
Inductive Logic Programming (ILP) systems have been successfully applied to solve complex problems in bioinformatics by viewing them as binary classification tasks. It remains an...
Huma Lodhi, Stephen Muggleton, Michael J. E. Stern...
Buffered coscheduling is a distributed scheduling methodology for time-sharing communicating processes in a distributed system, e.g., PC cluster. The principle mechanisms involved...
A strand is a sequence of events; it represents either the execution of legitimate party in a security protocol or else a sequence of actions by a penetrator. A strand space is a ...
F. Javier Thayer, Jonathan C. Herzog, Joshua D. Gu...