So far, the search for Opportunistic Network (ON) applications has focused on urban/rural scenarios where the combined use of mobility and the store-carry-and-forward paradigm hel...
To accelerate the training of kernel machines, we propose to map the input data to a randomized low-dimensional feature space and then apply existing fast linear methods. The feat...
Traditional recommendation algorithms often select products with the highest predicted ratings to recommend. However, earlier research in economics and marketing indicates that a ...
No part of the economic community can now escape from the urgent issues related to global warming, carbon footprint and reducing energy consumption. Nevertheless, the construction ...
Throughout the design cycle, visualization, whether a sketch scribbled on the back of a spare piece of paper or a fully detailed drawing, has been the mainstay of design: we need ...