Nowadays, the information overload highlights the importance of personalization systems providing services according to users' interests and needs, as expressed by their User ...
A service discovery framework provides a collection of protocols for developing dynamic client/server applications, allowing clients to find and use services without any previous ...
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
: Quantitative models are needed for a variety of management tasks, including (a) identification of critical variables to use for health monitoring, (b) anticipating service level...
Yixin Diao, Frank Eskesen, Steve Froehlich, Joseph...
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...