Many real datasets have uncertain categorical attribute values that are only approximately measured or imputed. Uncertainty in categorical data is commonplace in many applications...
Ensemble Kalman Filter (EnKF) uses a randomized ensemble of subsurface models for error and uncertainty estimation. However, the complexity of geological models and the requiremen...
Xin Li, Zhou Lei, Christopher D. White, Gabrielle ...
Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensio...
Abstract: With today’s available computer power, free energy calculations from equilibrium molecular dynamics simulations “via counting” become feasible for an increasing num...
System-on-chip communication architectures have a significant impact on the performance and power consumption of modern multiprocessor system-on-chips (MPSoCs). However, customiza...
Sudeep Pasricha, Young-Hwan Park, Fadi J. Kurdahi,...