We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
This paper describes a novel method by which a dialogue agent can learn to choose an optimal dialogue strategy. While it is widely agreed that dialogue strategies should be formul...
Marilyn A. Walker, Jeanne Frommer, Shrikanth Naray...
Digital signage, sometimes known as a Digital Communications Network (DCN) or private plasma screen network, has been little researched to date. This paper puts forward the view t...
Andrew Newman, Charles Dennis, Len-Tiu Wright, Tam...
Abstract. This paper addresses—to our knowledge, for the first time—the problem of querying a geosensor network—a sensor network of mobile, locationaware nodes—for histori...
Due to the complex nature of scientific workflow environments, temporal violations often take place and may severely reduce the timeliness of the execution’s results. To handle ...