Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
Abdel-rahman Mohamed, Tara N. Sainath, George Dahl...
Motivation: Extracting functional information from protein–protein interactions (PPI) poses significant challenges arising from the noisy, incomplete, generic and static nature...
This study presents a practical solution for data collection and restoration to migrate a process written in high level stack-based languages such as C and Fortran over a network ...
Modern applications distributed across networks such as the Internet may need to evolve without compromising application availability. Object systems are well suited for runtime up...
Overlay networks create new networking services across nodes that communicate using pre-existing networks. MOSAIC is a unified declarative platform for constructing new overlay ne...
Yun Mao, Boon Thau Loo, Zachary G. Ives, Jonathan ...