In this paper, we propose more accurate power/ground network circuit model, which consider both via and ground bounce effects to improve the performance estimation accuracy of on-...
Jin Shi, Yici Cai, Sheldon X.-D. Tan, Xianlong Hon...
Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical language modeling, with applications in speech recogn...
Hai Son Le, Alexandre Allauzen, Guillaume Wisniews...
Kernel-based systems are currently very popular approaches to supervised learning. Unfortunately, the computational load for training kernel-based systems increases drastically wit...
Natural fractured media are highly unpredictable because of existing complex structures at the fracture and at the network levels. Fractures are by themselves heterogeneous objects...
An increased need for collaborative research, together with continuing advances in communication technology and computer hardware, has facilitated the development of distributed s...