Recommender Systems (RS) aim at predicting items or ratings of items that the user are interested in. Collaborative Filtering (CF) algorithms such as user- and item-based methods ...
Karen H. L. Tso-Sutter, Leandro Balby Marinho, Lar...
Abstract. Simulation platforms for network processing still have difficulties in finding a good compromise between speed and accuracy. This makes it difficult to identify the caus...
Artificial neural networks (ANN) have been widely used for both classification and prediction. This paper is focused on the prediction problem in which an unknown function is appr...
One of the major factors that can potentially slow down widespread use of embedded chip multiprocessors is lack of efficient software support. In particular, automated code paral...
Liping Xue, Mahmut T. Kandemir, Guangyu Chen, Tayl...
We demonstrate ProSem, a scalable wide-area publish/subscribe system that supports complex, stateful subscriptions as well as simple ones. One unique feature of ProSem is its cost...
Badrish Chandramouli, Jun Yang 0001, Pankaj K. Aga...