In dynamic data driven applications modeling accurately the uncertainty of various inputs is a key step of the process. In this paper, we first review the basics of the Karhunen-L...
Didier Lucor, Chau-Hsing Su, George E. Karniadakis
The principle of maximizing mutual information is applied to learning overcomplete and recurrent representations. The underlying model consists of a network of input units driving...
Abstract. Complex networks like the scale-free model proposed by BarabasiAlbert are observed in many biological systems and the application of this topology to artificial neural ne...
Mauro Annunziato, Ilaria Bertini, Matteo De Felice...
Rapid approximation of the transient response of high-speed global interconnects is needed to estimate the time delay, crosstalk, and overshoot in a GSI multilevel wiring network....
Raguraman Venkatesan, Jeffrey A. Davis, James D. M...
We present a simple statistical model of molecular function evolution to predict protein function. The model description encodes general knowledge of how molecular function evolve...
Barbara E. Engelhardt, Michael I. Jordan, Steven E...