State-of-the-art Peer-to-Peer Information Retrieval (P2P IR) systems suffer from their lack of response time guarantee especially with scale. To address this issue, a number of tec...
Christian Zimmer, Srikanta J. Bedathur, Gerhard We...
Initial software quality requirements tend to be imprecise, subjective, idealistic, and context-specific. An extended characterization of the common Softgoal concept is proposed fo...
The Transferable Belief Model is a general framework for managing imprecise and uncertain information using belief functions. In this framework, the discounting operation allows to...
Database researchers have striven to improve the capability of a database in terms of both performance and functionality. We assert that the usability of a database is as importan...
H. V. Jagadish, Adriane Chapman, Aaron Elkiss, Mag...
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...