Periodic broadcast protocols enable the efficient streaming of highly popular media files to large numbers of concurrent clients. Most previous periodic broadcast protocols, howe...
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
Science disciplines are experiencing a data avalanche. As a result, scientific research is limited by data analysis and visualization capabilities. We have been working closely wi...
Kai Li, Matthew A. Hibbs, Grant Wallace, Olga G. T...
State-of-the-art automatic reliability analyses as used in system-level design approaches mainly rely on Binary Decision Diagrams (BDDs) and, thus, face two serious problems: (1) ...
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...