Bayesian graphical models are commonly used to build student models from data. A number of standard algorithms are available to train Bayesian models from student skills assessment...
Michel C. Desmarais, Alejandro Villarreal, Michel ...
This paper proposes a reliability-centric hardware/ software co-design framework. This framework operates with a component library that provides multiple alternates for a given ta...
Suleyman Tosun, Nazanin Mansouri, Ercument Arvas, ...
Dense deployments of WLANs suffer from increased interference and as a result, reduced capacity. There are three main functions used to improve the overall network capacity: a) in...
Ioannis Broustis, Konstantina Papagiannaki, Srikan...
Data speculative optimization refers to code transformations that allow load and store instructions to be moved across potentially dependent memory operations. Existing research w...
Speculative execution, such as control speculation and data speculation, is an effective way to improve program performance. Using edge/path profile information or simple heuristi...
Jin Lin, Tong Chen, Wei-Chung Hsu, Pen-Chung Yew, ...