Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
dynamic analysis of structures for earthquake induced loads is very expensive in terms of the computational burden. In this study, to reduce the computational effort a new neural s...
Abstract. For the application of large-scale mobile agents in a distributed environment, where a large number of computers are connected together to enable the large-scale sharing ...
—Normalization before clustering is often needed for proximity indices, such as Euclidian distance, which are sensitive to differences in the magnitude or scales of the attribute...
— Clock meshes posses inherent low clock skews and excellent immunity to PVT variations, and have increasingly found their way to high-performance IC designs. However, analysis o...
Xiaoji Ye, Peng Li, Min Zhao, Rajendran Panda, Jia...