This paper presents an algorithm designed to compute the perceived interest of objects in images. We measured likelihood functions via a psychophysical experiment in which subject...
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
—This paper introduces an accumulative prediction method to predict the eye diagram for high speed signaling systems. We use the step responses of pull-up and pull-down to extrac...
Rui Shi, Wenjian Yu, Yi Zhu, Chung-Kuan Cheng, Ern...
The Internet network provides access to several hundreds of million sites and expands at a rate of a million pages a day. Yet, given the rapid and anarchical nature of its evoluti...
—This paper combines artificial neural networks (ANN), fuzzy optimization and time-series econometric models in one unified framework to form a hybrid intelligent early warning...