Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...
With the rapid growth of wireless technologies and mobile devices, there is a great demand for personalized services in mcommerce. Collaborative filtering (CF) is one of successfu...
Reliability in embedded processors can be improved by control flow checking and such checking can be conducted using software or hardware. Proposed software-only approaches suffe...
Multiprocessor hardware platforms are now being considered for embedded systems, due to their high computational power and little additional cost when compared to single processor...
This report will present a collection of tools that supports the precise definition, careful analysis, and execution of processes that coordinate the actions of humans, automated d...
Leon J. Osterweil, Lori A. Clarke, George S. Avrun...