Next to prediction accuracy, the interpretability of models is one of the fundamental criteria for machine learning algorithms. While high accuracy learners have intensively been e...
The computation of radiative effects by the Photon Monte Carlo method is computationally demanding, especially when complex, nongray absorption models are employed. To solve such c...
Kamal Viswanath, Ivana Veljkovic, Paul E. Plassman...
: The explosive growth of internet traffic and the increasing complexity of the functions performed by network nodes have given rise to a new breed of programmable micro-processors...
Supercomputing applications usually involve the repeated parallel application of discretized differential operators. Difficulties arise with higher-order discretizations their com...
Thomas J. Ashby, Anthony D. Kennedy, Stephen M. Wa...
A model is a simplified representation of an aspect of the world for a specific purpose. Complex systems typically give rise to more than one model because many aspects are to be h...