models evolve at different levels of abstraction, from the requirements specification to development of the source code. The models underlying this process are related and their ...
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
Accurately aligning distant protein sequences is notoriously difficult. A recent approach to improving alignment accuracy is to use additional information such as predicted seconda...
Abstract—Fault detection plays an indispensable role in ensuring the security of smart grid systems. Based on the dynamics of the generators, we show the time evolution of the sm...
—In this paper, we study the capacity-achieving input covariance matrices for the jointly-correlated (or the Weichselberger) Rician fading multiple-input multiple-output (MIMO) a...
Chao-Kai Wen, Shi Jin, Kai-Kit Wong, Jung-Chieh Ch...